Only in the mid-2000s, the cloud, which we see today, was launched by e-commerce retailers like Amazon and virtual services like Google Docs.    

Since then cloud computing has only deepened its roots in the virtual world and started evolving. By 2021, many experts predict that 94% of the internet’s workload processing will rely on cloud computing, with companies switching almost all their operations to the cloud.   

Through the years, this progress of cloud has made it a crucial technology required in the business process. If your company is also relying on this breathtaking technology and wants to be at the top of the game. We have bought the future technology trends in cloud computing.   

This blog will also update you about the latest cloud computing trends and upcoming cloud technologies you should know in 2021. Still, with us, keep reading.    

1. AI and ML Adoption   

Artificial Intelligence (AI) and Machine learning (ML) technologies are among the top cloud computing trends that we are expecting to see growth in 2021.    

Though many businesses are already utilizing the technologies, AI and ML adoption include features such as product recommendation engines, image recognition, energy optimization, system failure monitoring, adaptive security learning, and language processing.   

The best part about these technologies is that they are not limited to businesses but can be used by consumers. They can use it to get better insights into products and interact with companies in a new way.   

The growth of AI and ML in the year 2021, will aid businesses through:   

• Security: ML will allow businesses to automate their security features to make decisions regarding program permissions and the efficacy of its malware detection. It can also keep an eye out for potential attackers and identify vulnerable areas.   
• Productivity: AI and ML can increase productivity by eliminating the need to do redundant tasks manually. Instead, machines will be handling these jobs without prompting or overseeing. This will leave employees to concentrate on other business areas and utilization of time and budget better.   
• Accessibility: Unlike before, AI has become readily accessible for all types of operations. AI features are even compatible with software for smaller-scale use and individual applications.    

2. Hybrid Cloud Services   

Companies have either private or public access to the cloud. Both of them have their pros and cons. But there is a new system coming up called Hybrid cloud.    

Unlike traditional models, the hybrid cloud refers to a combination of private and public cloud options. It includes on and off-premise equipment which gives them the flexibility to create the optimal setup.    

Such a cloud allows businesses to operate within their budget and use only the needed space. They also give them the liberty to do it without sacrificing any features.    

Hybrid clouds are great for smaller and medium companies with fewer resources but desire cloud-based service.   

In 2021, hybrid cloud services are expected to become widely adopted among businesses. They will become new hybrid cloud computing trends as they offer:   

• Security options: Hybrid cloud gives businesses the enhanced privacy of a private cloud and the benefits of public cloud applications.    
• Remote support: Hybrid clouds enable businesses for remote work for off-site employees. Also with a rising remote workforce, the hybrid cloud makes it easy to scale operations to suit changing needs.    
• Increased speed: Hybrid clouds allow the business to take on more tasks with less downtime, boosting operational speeds and reducing latency.   

3. Distributed Cloud   

This is one of the top trends in cloud computing due to the rise of the distributed cloud. The distributed cloud has become the solution for businesses that requires specific geographical or residency ties.   

The distributed cloud allows businesses to store and manage their data and operations that are tied to a certain location. Meanwhile, it also allows them to grant access to the public cloud and its features.    

The distributed cloud can result in shorter wait times and more privacy to the customers by processing data locally.   

In the future, the distributed cloud computing trend will see a few different phases, including distributed platforms similarly to hybrid clouds, industry-based settings, and a larger-scale variation.    

4. Streamline Entertainment   

Today, every household in the U.S has one or the other type of video streaming account. Video streaming services use the cloud to power their platforms. In the future, this trend will only grow and continue to proliferate into 2021.    

Cloud computing enables companies to host a rotating and scalable inventory. But, along with it, it enables consumers to enjoy entertainment and get rid of excessive buffering.   

Another type of cloud-based entertainment is cloud gaming which will continue to see growth. Similar to video streaming, cloud gaming allows consumers to access and play video games on cloud platforms. The cloud gives them better bandwidth and server capacity.   

Smaller or non-entertainment-related businesses can also harness the power of the cloud by interacting with their customer bases in new ways to make their marketing and public engagement powerful.    

5. Hyper-scale Data Centers   

This is the basic requirement for most the businesses in the digital age which is prompting the demand for hyper-scale data centers. A hyper-scale data center can quickly react to progressively heavy demand and scale dramatically.    

Instant consumption of data has driven organizations to work at a rapid pace. This also means that they need their IT frameworks to deliver services at a faster pace than any customary framework. Likewise, they need an IT infrastructure to scale at a rapid movement and provision their increased demand.    

Hence, the hyper-scale data center is another important cloud computing trend that will lead the industrial growth.    

6. Cloud-Native   

DevOps team’s primary focus is to create, manage, and improve processes. With cloud-native developments, DevOps can integrate application-specific designs. Besides, can do it with faster response times, merge platforms seamlessly, and utilize advanced tools.    

The demand for this cloud computing trend will continue to grow in 2021 as businesses grapple with the new changes. The companies will be more focused on scalability, higher security, and serverless technology.   

7. Serverless Computing   

Server technology trends continue to evolve once it is powered by the cloud. Serverless computing technology will partially or entirely eliminate the need for physical hardware on-site.   

With serverless technology, you will only be billed for space and features that your use. This allows businesses to focus less on staff, train, manage, budget for, and operate an entire server and more on their products, services, and customer relations.   

These serverless cloud computing trends will also allow businesses to:   

• Implement platforms with easier backend code   
• Minimize or eliminate wasted server space   
• Develop smarter applications and programs   
• Get faster turnaround   

Serverless solutions will continue to grow in the list of cloud computing trends in 2021. It will be popular because it includes pay-as-you-go models, access to more flexible options, and as-needed backend services.   

8. Disaster Recovery   

One of the most significant cloud trends is the need to have a scalable, usable, and accessible cloud-based disaster recovery (DR).    

In 2020, as most of the employees shifted to remote work, companies’ vulnerable areas were exposed which prompted a strong surge of cloud-based solutions and disaster response plans.   

When natural disasters or unstable internet connections threaten to interrupt operations, the cloud offers a solution that adapts to your changing situation. Cloud-based recovery allows staff to handle tasks from remote locations.    

Cloud-based recovery is simple-to-use technology that doesn’t require special training to operate. It includes more hands-off recovery websites that eliminate the need for ongoing manual support and troubleshooting.   

It is also a great solution for virtual attacks. Backing up files on a cloud server helps businesses continue their work without interruption and protect valuable data.   

Cloud computing enables businesses to take control of recovery time, flexible payment models, automated solutions, application portability, and gives them the ability to test and utilize disaster recovery resources.    

9. BPaaS, PaaS, SaaS, IaaS, and DaaS to Grow   

Cloud adoption projections say that businesses that relied on the cloud for 2020 will continue to do so as they move forward to 2021.    

Statistics say that the cloud computing market is booming and will grow by nearly 18 percent by the end of 2025.    

In the future, the need and demand for cloud computing services will continue to grow with no signs of stopping. Public and private cloud servers will become the standard for daily frontend, information storage, backend operations, and disaster recovery.   

Business Process as a Service (BPaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Desktop as a Service (DaaS) will grow at a rapid pace. They are likely due to factors such as:   

• Accessible knowledge    
• Need for virtual technology for long distances   
• The desire for stronger security and privacy  
• Streamlined technologies   

10. Platform as a Service (PaaS)   

Among the above discusses cloud services, platform as a service will see the most growth in 2021. Cloud computing will increase the ability of businesses to build, manage, and run platforms for clients as a service.    

Unlike now companies will not rely on their resources to develop complex infrastructure, PaaS will allow third parties to handle it for them. Such services will be available for both private or public cloud platforms.    

PaaS will make it easier to store data, develop applications, test software, and increase stability across a platform for businesses.   

Small and mid-size businesses will also be able to take advantage of PaaS offerings to streamline their processes and track trends and patterns in data. Availability for PaaS will allow a lower barrier to entry with lower costs. Besides, there will be less need for equipment and trained professionals on-site.    

These services will provide consumers with lower costs options, but there will be a need for services to aid in organizing, managing, choosing, and utilizing those processes.   

Conclusion:  

In this blog, we have covered some of the most popular cloud computing trends in 2022. Do let us know in the comments below if we have missed your favorite.   

Author Bio:

Shreeya Chourasia is an experienced B2B marketing/tech content writer, who is diligently committed for growing your online presence. Her writing doesn’t merely direct the audience to take action, rather it explains how to take action for promising outcomes.

The post Top 10 Game-Changing Cloud Computing Trends of 2022 appeared first on Tech Research Online.

You heard a shuffling noise but you don’t want to go look. In this case, a security camera with good night vision will show you what’s out there. But if you want to scare that rascal or raccoon away then a floodlight camera can help.  

Floodlight cameras offer plenty of benefits from both a safety and security perspective. In addition, smart floodlight cameras can give you the added value of better lighting thanks to sensors, artificial intelligence, and machine learning to light up when someone is there.  

In this blog, we have covered six of the best floodlight cameras with innovative features; an impressive 360 field-of-view; super bright, tunable LED floodlights. We have also covered great cameras for people on a budget at a much lower price.  

Best Floodlight Cameras For 2022

1. Eufy Floodlight Camera- 2 Pro

The beast of cam is EUFY floodlight camera as it got some seriously smart moves with its advanced AI tracking, a 360-degree view, and tunable lighting. While this floodlight cam lacks in style, it makes up for the functionality. Plus, the cam offers three adjustable lighting panels, addressable PIR motion sensors, and local storage.  

However, aside from its crazy functionality, the cam’s flaws are the ugly look, outdated push-to-talk two-way audio, no option for continuous video recording, and limited zoom. It also lacks smart alerts which can be a little annoying, but you can adjust the motion sensitivity.   

Auto-cruise three and lighting panels feature lets you set the camera on scheduled four preset positions and deliver a blinding 3,000 lumens of light at up to 5,700 Kelvins. The cam resembles the lighting of a prison yard at full brightness, but you can change the brightness and tone.   

The 2K video quality is excellent and the camera works over 2.4GHz Wi-Fi with a weather rating of IP65 and doesn’t require a Eufy hub.  

The floodlight cam comes with 4GB of non-removable onboard storage and you can also opt for a Network Attached Storage setup. The camera even works with Google Home and Alexa to stream footage on smart displays but there is no 24/7 continuous video recording.   

2. Arlo Floodlight Camera – Pro 3

Arlo Pro 3 Floodlight Camera offers one of the most versatile installation options and has the best video quality. The cam also offers easy compatibility with Alexa, Google Home, SmartThings, and Apple HomeKit.   

However, if you add continual power and pay for smart alerts and video recording it gets comparatively expensive.  

Arlo Pro 3 floodlight camera is my next favorite pick if you want a floodlight camera with a stronger zoom, better smart alerts, and a motion-activated siren. The floodlight camera offers by far the best video quality with 2K, HDR imaging, and 12x digital zoom.  

Arlo floodlight camera requires you to subscribe to its Secure service (paid service) to access its full functionality. This floodlight camera is the least obtrusive-looking floodlight camera and you can also mount it anywhere.   

Despite the small size, the floodlight camera offers very bright light which is enough to scare off intruders, and you can even set its 80dB siren to go off once it detects motion.  

However, the Arlo floodlight camera can’t be called waterproof even though it works fine once dried out. Also, it does work with Google Home, Alexa, Samsung SmartThings, and IFTTT, and allows you to stream video on Nest smart displays and in the app.   

3. Wyze Floodlight Camera

Wyze floodlight camera offers a superb with a 2600 lumen blaster at a lower cost. They also offer sound detection, the option of local storage and 24/7, and continual recording.  

Wyze uses both a PIR and a camera-based motion sensor with 270 degrees of motion sensing. The cam has a built-in extra USB port to power a second Wyze Cam v3.   

Despite its low price, Wyze doesn’t offer you quite the surveillance power of the Eufy and also looks a bit cheap. You might also want to factor in paying for a Wyze CamPlus subscription plan. Although the camera allows for 12 seconds of free motion-recorded clips, there’s a 5-minute cooldown period unless you pay up for the unlimited-length clips.  

Wyze has a zoom of 1080p resolution with superb starlight sensor-powered night vision which uses available light to illuminate a dark scene in color. The cam also has a louder siren than the Arlo and an option of local storage by adding an SD card, as a bonus, for 24/7 continuous video recording.  

Wyze floodlight camera allows you to stream footage to your Google and Alexa smart displays with Alexa announcing motion if at all detected. However, you still don’t get the ability to control the lights with either voice assistant. Also, you can’t get individual control of the floodlights outside of the Wyze app. 

4. Google Nest Floodlight Camera

Google Nest is the first lighting product from the company with good control options in the Google Home app. Google Nest Cam battery is attached with its camera magnetically via a power cable.   

The Nest floodlight camera offers free smart alerts to turn the lights and camera without a siren, and it is compatible with Google Home only. It also offers a built-in battery backup, free on-device recording (lasting up to three hours), free smart alerts, and (paid) 24/7 recording.  

Unlike other competitors, as part of Nest’s Familiar Faces feature, this cam offers facial recognition. However, to avail of this service, you need to pay for Nest Secure subscription, starting at $6 a month.  

Google Nest also offers two swappable floodlight cameras that magnetically attach themselves. They give you some good options, including adjustable arms to angle your lighting, 5 GHz Wi-Fi, ambient light activation, the option to dim the beams, and app and voice control in the Google Home app.  

However, the nest floodlight camera doesn’t offer a built-in siren which makes it a deal-breaker when it comes to the dedicated security device.   

Nest’s on-device machine learning allows fast notifications and its motion sensors provide a 180-degree sensing range. Sadly, the camera only works with Google Home and doesn’t fit well for an under-the-eave installation.  

5. Netatmo Smart Outdoor Camera

Netatmo Smart Outdoor Camera is the most good-looking camera on this list which is available in two flavors, with and without a siren.   

This floodlight camera is perfect for those concerned with only privacy when it comes to installing cameras around their home. The floodlight security cam has no cloud component as all its video is recorded locally with smart alerts being processed on the device. However, you can opt to store recordings on your FTP or Dropbox service.   

This is the only floodlight camera on the list which works with both Apple HomeKit and HomeKit Secure Video, with no monthly fees charged by Netatmo.  

It offers free video storage, free smart alerts, and works with Alexa, Google, and Apple HomeKit. However, there is no two-way audio, and the video quality was the least impressive.   

The model is made out of aluminum instead of plastic, giving it a very stylish look with a high-end feel. However, you can install the cam horizontally under an eave. It can only be mounted vertically to the side of a house.  

Additionally, Netatmo offers free smart alerts and the ability to control the light and camera via Google Home, HomeKit, or Amazon Alexa. It offers a built-in ear-splitting siren and sends rich notifications with a zoomed-in clip with a well-laid-out timeline.   

However, being an older camera, its video quality is just nowhere near as good as the competition as it offers 1080p video. Plus, there is no HDR imaging or any other digital trickery to produce a more vibrant image like other modern cameras. Its digital zoom is limited without two-way audio.   

How is a Floodlight Camera Used For Security?

Floodlight cameras are great for security because they combine lights, cameras, and continuous power. The motion sensors also offer great value as it activates lights and assures you don’t trip on that package left in your driveway. Plus, built-in sirens can be activated to deterrent anyone creeping around your property.  

Floodlight security cameras are wired but still operate wirelessly to transmit video using Wi-Fi. This gives you an advantage as there are no battery-charging woes unlike with a plug-in camera. Also, you don’t need to drill through your walls to access an indoor plug.  

The floodlight camera is controlled in the same way as the regular outdoor camera and offers more or less the same features. But you get the added option of light control, making it an excellent upgrade to standard motion-activated lighting.  

Why Not Buy a Floodlight Security Camera?

Floodlight cameras are significantly more expensive and more limited in terms of where you can place them (where there is existing wiring for lighting). Also, most floodlight cameras use non-replaceable LED lighting meaning you might be left in dark with a camera if the lights go bad. 

Author Bio:

The post Best Floodlight Camera to Buy in 2022- TRO appeared first on Tech Research Online.

Quantum computing holds the potential to revolutionize AI despite still being in its early phases. Companies like Microsoft, IBM, Google, and Honeywell have already invested in technology to create many innovations and breakthroughs.   

But, before we get our hands dirty, lets us first understand:    

What is Quantum Computing?    

Well, quantum computing is quite similar to traditional computing as it relies on bits to encode information. But what makes quantum computing unique is its version of bits, also called a qubit.  

Qubit makes quantum computing revolutionary as it can have information in multiple states at the same time. This results in the effects of quantum mechanics, such as entanglement and superposition.   

And, if you are wondering, yes, this is the spooky world of Schrodinger’s cat, both alive and dead.  

According to Dr. Jay Gambetta, vice president of IBM Quantum, “Quantum computing is a new kind of computing, using the same physical rules that atoms follow to manipulate information.”   

“At this fundamental level, quantum computers execute quantum circuits—like a computer’s logical circuits, but now using the physical phenomena of superposition, entanglement, and interference to implement mathematical calculations out of the reach of even our most advanced supercomputers.”  

Quantum computers aren’t mainstream yet; their arrival will require algorithms. Google, recently, launched a new version of TensorFlow Quantum (TFQ), the TensorFlow framework. TFQ is an open-source library for prototyping learning models to make it possible for developers to create hybrid AI algorithms.   

TFQ, a smart amalgamation of TensorFlow and Cinq, allows building deep learning models combining both traditional and quantum computing techniques to run with minimal lines of Python.   

Google AI, in a blog post, said TFQ has been designed to provide the necessary tools to bring in the techniques of quantum computing and machine learning research communities together to build and control artificial quantum systems. e.g., Noisy Intermediate Scale Quantum (NISQ) processors with ~50 – 100 qubits.  

Quantum computing aims to extend the abilities of traditional computing by performing tasks accurately and efficiently than conventional computers. Experts believe that, instead of replacing their traditional counterparts, quantum computers will leverage classical computers to support their specialized abilities.  

How Quantum Computing Can Benefit Artificial Intelligence?  

To run increasingly complex programs, scientists have been trying to better software for decades; however, software optimization has its limitations.   

With increasingly complex machines, businesses will require more powerful machines sooner or later. Therefore, experts are working to figure out a way to extract value by expediting this process from the unmanageable swaths of data. This has given rise to a new discipline known as Quantum Machine Learning.   

Reportedly, quantum computing will grow from USD 93 million in 2019 to USD 283 million by 2024, at a CAGR of 24.9%.  

Now, we know that quantum machine learning is more efficient than classic machine learning. However, there is still no known scope as to what extent do these models appear in practical applications.  

So, let’s pounce on the ways quantum computing could change the future of artificial intelligence:  

1. Datasets  

We are dealing with newer technologies every day, for instance, AI and machine learning. These technologies tend to eat a lot of data which makes it difficult for traditional computers to evaluate massive datasets.   

On the other hand, quantum computers are designed to manage huge datasets, along with spotting anomalies and uncovering patterns quickly. Developers can manage the potential of qubits with the newly launched iteration of new designs and improvements made on the quantum error-correction code.   

Another way quantum computing can facilitate revolution, apart from sampling large datasets, is to be the same for solving all kinds of business problems. Quantum computers will give immense power to businesses for better decision-making.   

2. Complex Problem Solving  

Today, businesses are managing the growth of dataset that is faster than our computing resources. Quantum computers can complete these calculations within seconds, which today’s computers may take years to calculate.   

Traditional computers work on a principle called superposition representing a combination of both zero and one, unlike traditional computers. Because of this, quantum computers are exponentially faster and can-do multiple calculations with multiple inputs simultaneously.    

Google’s quantum computer can calculate 100 million times faster than today’s computer systems. Such a system is critical to process the monumental amount of data generated by businesses daily. The fast calculation can be used to solve very complex real-world problems by converting them into quantum language.  

3. Building Better Models  

With the increasing amount of data, businesses are losing ties with classical computing rope. They require complex models with the potential to process the most complex situations to have a better data framework.   

Here, quantum computers play a huge role by creating better models with quantum technology. They lead to a decrease in a financial implosion in the banking sector, better treatments for diseases in the healthcare sector, and improve the logistics chain in the manufacturing industry.  

4. Integration of Multiple Datasets  

Organizations face the problem of varying amounts of data provided, either it could be too much or too little. Many time the data is placed in a variety of datasets to manage and integrate multiple numbers of datasets   

Quantum computers can be used can makes the process quicker and analysis easier. This means that businesses will allow for quick analysis and integration of large datasets to improve and transform machine learning and artificial intelligence capabilities.    

Quantum computers’ ability to handle many stakes makes them an adequate choice for solving business problems.  

5. Combat Fraud Detection  

Quantum computing applications with integration of AI, in the banking and financial sector, will improve and combat fraud detection.   

A fraud detection model trained using quantum computers is capable of detecting hard-to-spot patterns using conventional equipment. However, improvement in algorithms helps in managing the volume of information.    

Also, for the companies aiming to provide customers in the BFSI sector with tailored products, the best way to achieve this is by using advanced recommendation systems. Several quantum models could also be used to enhance these systems’ performance.   

One starts to understand the caveats buried and the existing challenges of quantum computing when you dig deeper into the details.   

Author Bio:

The post Quantum Computing the Future of AI appeared first on Tech Research Online.

Cryptocurrency.   

The word itself, now, has the potential to grab all our attention.   

And, why not?   

Well, 2021 has given a new direction to the unknown fate of cryptocurrency. For instance, look at some of these stats:  

• Bitcoin market capitalization grew to $1072.21 billion as of February 21st, 2021.  
• The global blockchain market is now expected to go reach more than $23.3 billion by 2023.  
• In Q1 of 2021, the highest number of global daily bitcoin transactions is 367,536.  
• Bitcoin has gained 193,639.36% between 2012 and 2020.   

So on and so forth….  

When we talk about cryptocurrency there is one name that stands out and that is “Bitcoin.” While most people associate the terms cryptocurrency and Bitcoin as one, it’s really not! In fact, the concept of cryptocurrency started way before Bitcoin was introduced.  

Hope I have your attention by now because from here things are going to get very interesting.  

How and when did crypto (Cryptocurrency) originate?  

The revolutionary idea of a digital currency was discussed in early as 1980-90 by a group named ‘cypherpunks’. The group would meet every month to discuss new ideas and developments.   

Around the same time, David Chaum, an American cryptographer, invented DigiCash, the first internet currency, in the Netherlands. It eventually garnered the attention of Microsoft, who wanted to buy the currency but the deal never materialized.  

In 1998, Wei Dai used a cryptographic system in hope of developing a new payment method. He even published a proposal for B-Money. Despite his efficient and practical methods, the currency never developed fully.  

So, what suddenly triggered the popularity of cryptocurrency?   

To understand that let’s take a hypothetical situation:   

Suppose, I give you a million dollars in cash, what would you do with it?  

The two most reasonable answer is that you’ll either store it or spend it.  Either way, you wouldn’t want to have so much cash on you.   

So, what do you do?   

You’ll simply keep it in your bank account for storing or spending it later.   

But, the point to note here is what banks do with your money once it’s deposited?   

Well, banks usually invest all your money by offering loans to people in need.   

Now there is always a chance that these loans into a bad investment. What happens then?  

If the banks lose your money, you’ll start losing your trust in the bank and so does other people like you. And if the story sounds familiar, well that’s what happened in “The Financial Crisis of 2008.”  

Now, you might be wondering why are we reading about the Financial Crisis instead of the origin of Cryptocurrency.   

The answer is simple, the Crisis brought forwards the shortcomings of the banking ecosystem and other similar institutions.   

Similarly, when the government spends money earned in taxes for development. Now, what if their expenditure exceeds their income?  

Most of the Governments deal with it by asking the central banks to print more money. This makes more money available to the public.   

While this solved a problem for the Government, it reduces the value of money already in circulation.   

But, how does it affect you?  

Let take an example, consider that you have $1 out of $100 in circulation in the market which means that you own 1% of the total money in the country.  

Now, if Government suddenly decides to print more money and add another $100. Now the total money in circulation goes up to $200, meaning that you now own only 0.5% of the entire market. That’s a fifty percent depreciation in the value of the money you saved.  

These two reasons were enough for common people to start looking for a new system without the shortcomings of regular currencies.   

Humble Beginning of Bitcoin  

After the Financial Crisis, in 2009, Satoshi Nakamoto, a mysterious entity with a pseudo name, published the Bitcoin (BTC) whitepaper.  

The document proposed a “peer-to-peer version of electronic cash” to “allow online payments to be sent directly from one party to another without going through a financial institution.”  

The identity of Satoshi is unknown to this day. Satoshi could be a person or a group of developers. Satoshi not only published the Bitcoin whitepaper but also created the software around its blockchain before disappearing in 2010.  

How does Bitcoin solve this problem?   

We all know that the governments control the currencies in all the countries. Bitcoin takes that power and gives it back to the public.   

It does this by fixing the number of coins that could ever be in circulation and its rate of production. Bitcoin’s code used in its design ensures that the maximum number and production rate cannot go beyond the set limit. Also, this code is transparent for everyone for easy verification.  

This way, the value of Bitcoin will depend only on the market and will remain free from all Government interventions.  

Now, we are dependent on a third-party vendor to validate a transaction whenever we make a transaction from our stored money. However, after the Financial Crisis of 2008, there is no guarantee that the vendor won’t make a risky investment with our money.   

To solve this problem, Bitcoin allows users to directly transact with one another by eliminating any intermediaries.  

How?  

Well, you can simply need to create a Bitcoin Wallet for yourself to store your Bitcoins. This wallet will act less like a bank and more like your physical wallet.   

Although maintained by various companies, unlike traditional banks, the wallet cannot take its own decisions. This is because the codes in their design are transparent and accessible to everyone to assure people that their deposits are safe.  

Now that you know, how cryptocurrency originated and why Bitcoin came into existence. Let’s understand more about its value proposition and how it works in real life.   

Why does Bitcoin have value and what are its uses?   

Bitcoin is a chain of blocks built on top of a blockchain. Data is added in these blocks and over time new blocks are built atop of previous ones.  

Transactions records are stored on nodes that are essentially multiple powerful devices across the world. The way a block cannot be altered without altering all the subsequent blocks.  

Bitcoin boasts itself as having a decentralized ledger, meaning that there is no one person or organization looking after the network.    

In the whitepaper, Satoshi Nakamoto wrote, “The network timestamps transactions by hashing them into an ongoing chain of hash-based proof-of-work, forming a record that cannot be changed without redoing the proof-of-work. The longest chain not only serves as proof of the sequence of events witnessed but proof that it came from the largest pool of CPU power.”  

This is what makes Bitcoin almost attack-proof. In Bitcoin blockchain, if the majority of computational power, which is about 51 percent or more, is controlled by nodes that do not intent to corrupt the network. The chain grows and outpaces attackers. This makes Bitcoin a secure platform for the transaction.   

Furthermore, the Bitcoin network’s code has a predictable upper limit and issuance rate. This means that the total number of coins can never exceed 21 million.   

Its limited supply is seen to create a store of value against inflation, which is quite similar to gold.   

How does the Bitcoin network work?  

To understand that, let’s take a look at this example to compare regular and Bitcoin transactions.  

Now, consider a person, John who wants to spend $1,000 on his friend Emma. John initiated the transaction by notifying his bank.   

What happens next?  

Bank, now, verifies if John, who wants to initiate a transaction, has the necessary funds.   

Once done, the bank balance of John is reduced by $1,000, and Emma’s balance is increased by the same amount.   

Note that, in this example, we have assumed that both of them have accounts in the same bank.  

Unlike the conventional method, the transfer of Bitcoin follows a different path. Let’s see how:  

Here, a bank is replaced by nodes of a particular blockchain that is involved in the transaction due to its decentralized design.  

Now, in this case, if John wants to send one Bitcoin to Emma, they must notify the network so that all the nodes can know.  

To hash transactions and other information in the block, the nodes solve a puzzle given by the protocol referred to as mining.  

Mining is a task performed by miners who must keep hashing slightly modified data each time until a solution is found. Once found, a Bitcoin token can be sent to Emma.  

A new block is created once a solution for the successful transfer of Bitcoin is found. In return, the miner receives a block reward (in Bitcoin).  

Once the transaction is added, all nodes in the Bitcoin blockchain can see and validate it, and update it in the ledger to reflect it.  

Once the transaction is completed, John’s crypto wallet is updated which will show one Bitcoin sent, while Emma’s wallet will show one Bitcoin received. 

Author Bio:

The post Beginnings and Evolution of Cryptocurrency appeared first on Tech Research Online.

In the age of big data, we have a ton of information flooding the Internet. This information can be predominantly found on social media platforms. This is both a challenge and an opportunity for companies looking to effectively market their products and succeed in an age of information overload.   

There is a potential hidden within this ever-growing pool of images online and image recognition tools are key to unlocking it.  

For your organizations, this means exposure to more image data, for instance, social media users are embracing the concept of sharing photos instead of texts.   

What does this mean for you?  

This means that you as an organization, have to find images shared, that have your brand logo but no mention, in real-time.   

Evidence of this real-life explosion of the use of an image can be seen in the growing popularity of image and video-based social media platforms.  

For instance, Facebook with nearly 1.9 billion daily active users during Q2 2021.  

Instagram with 500+ million daily active users, from June 2018’s 400 million  

Snapchat – as of Q2 2021 – with 293 million daily active users, up from 238 in Q2 2020  

This growing trend is essential as you can leverage it to promote your brand by identifying, analyzing, and exploiting it.   

Digital marketing is the future and it is dominated by visual data which means that image recognition technology has to exist. Without it, we will be missing out on image data.  

Let’s take an example of how it can help you?  

Consider someone drinking your beer at the beach or maybe eating your pizza on the terrace. The data will show you where your product is used and how consumers are using your product.   

This means that you don’t need to cry out for features that you’re not providing, but your competitors are.  

Today, many well-known tech companies created automated recognition tools that can analyze pictures. In this blog, we are going to discuss the 10 Best Image Recognition Tools for your business.   

What are the 10 best-automated Image Recognition Tools?  

Automated image recognition is a valuable tool that can lead your company to a data-driven path. You can understand your customers better based on their individual preferences while simultaneously monitoring the reach of your marketing strategy.   

Your business can also leverage this tool to discover new possibilities to improve efficiency. The following tools might increase value creation in your company depending on your business.  

1 . Amazon Rekognition

Website: https://aws.amazon.com/rekognition/  

Amazon’s Rekognition tool can identify people, objects, scenes, activities, and detect any inappropriate or unsafe content.   

The tool also integrates facial recognition and analysis which continuously learns through the stream of new images.   

Amazon Rekognition tool can not only analyze images but also help with videos. Another perk is that you only pay for the amount of data you use meaning no minimum fees and you can access all the benefits of a powerful system without breaking the bank.  

2 . IBM Image Detection  

Website: https://www.ibm.com/watson/products-services  

IBM has become a giant in the tech world and has developed cutting-edge technology that has made the modern world better while simultaneously pushing for new possibilities.   

IBM Image Detection is a highly customizable and trainable solution for visual recognition. It performs a wide array of functions and uses top-notch technology to ensure trustworthy image recognition.   

It is one of the best image recognition tools out there and its main advantage is its trainable algorithm. IBM’s platform can be tweaked as per your business needs to perform virtually any task. 

3 . Google Reverse Image Search  

Website: https://images.google.com/  

If an image exists on the Internet, Google Reverse Image Search will help you find it. This simple tool is available for everyone and allows you to upload your image to give the sources of the image. This can help you to easily find where the image has been used and by who to detect a possible misuse.  

One great thing about this tool is that it’s intuitive and retains the power of text-based Google search.  

How could you leverage this tool for your business?  

If you like an image and want to use it for your business then you can find the source and credit its creators to avoid copyright violations.   

On the contrary, if you have created an image, you can search for its improper use – trademark infringement.  

4 . Google Cloud Vision API  

Website: https://cloud.google.com/vision/   

Google API Cloud Vision is a versatile tool with a wide suite of features that can be adapted to meet your specific needs.  

The tool helps you analyze images in different ranging from recognizing explicit content to detecting emotional facial cues. It can extract useful insights, retrieve text out of the examined images, and integrate the reverse image functions making it one of the most versatile tools.   

Beyond its flexibility, Google’s image recognition tool is leading the way in computer vision. It carries the power of Google and is one of the most powerful tools you’ll find.   

Besides, its user-friendly benefits, the platform also allows developers to integrate object detection and image recognition capabilities using a simple API.  

5 . Imagga  

Website: https://imagga.com/

Imagga can classify information based on certain specifications with its multiple automating options for sorting, organizing, and displaying your images based on category, color, tag. This means that the tool offers a high level of customization for the user.   

Imagga’s image recognition tool can also be automated according to custom inputs meaning that you’ll have multiple built-in options to meet your specific needs.   

Imagga has a tool for you whether you want to keep things in order without wasting time, or you need to ensure no explicit content is shown on the page.    

And, the best part, if they don’t have a tool, you can always make one with its customizable option!  

6 . EyeEm  

Website: https://www.eyeem.com/  

EyeEm’s image recognition is the ideal tool for those of you who love photography and use social media platforms. This image recognition tool can rate the aesthetic of a photograph and compare it to others in the database.  

This ability helps determine a photo’s relevance for your brand’s visual identity to maximize the engagement of customers. It helps with automatic tags and captions which is the best fit for your images and contributes to increasing exposure.   

Photographers who post-interaction can also leverage this amazing tool to evaluate their photos based on their aesthetic appeal.   

Besides, image recognition tools can be trained to recognize your unique style which will ensure that your posts keep the cohesive aesthetic with your unique style. 

7 . Cloudsight  

Website: https://cloudsight.ai/  

Cloudsight focuses on maximizing convenience while retaining impressive functionality with its ability to distinguish objects and classify images.   

CloudSight is perfect for those looking for an easy-to-use and self-described effortless tool. The tool can be used in different ways: to generate product descriptions, to improve search and discovery, for video recognition, and in digital media management.   

This tool streamlines the process of recognition, categorization, and understanding to take a nearly hands-off approach to the use of visual elements. It is intuitive without sacrificing any functionality.  

8 . Clarifai  

Website: https://www.clarifai.com/  

Clarifai lets you search for images using other images by inserting them in their system and selecting similar images based on your input.   

Because, if you want to find images based on similarities, then words can only take you so far.  

No matter how much you try to describe an image, it’s highly unlikely that you will be able to explain it exactly.   

Clarifai’s image recognition tool works for you by helping you find similar images by choosing photos and giving commands to the tool.  

9 . LogoGrab  

Website: https://visua.com/  

LogoGrab acts as a bridge for companies looking to increase consumer engagement with the help of its tools. It helps them detect brand logos and trademarks to enable companies to monetize their visual content on different media.   

LogoGrab knows its niche and fills it well from its patented Adaptive Learning Engine as the speediest and most precise tool. The tool is particularly focused on monetization and engagement of tech companies, ad agencies, and brands on mobile platforms.   

The tool integrates seamlessly into most pre-existing platforms. This means that the transition to LogoGrab is smooth and it can provide valuable information.  

10 . Talkwalker  

Website: https://www.talkwalker.com/image-recognition  

Similar to the Amazon image recognition tools, Talk Walker gives companies access to their large database of logos, scenes, and objects for purposes of image analysis.   

The tool will send you alerts if someone refers to your brand. Then you can leverage this by boosting brand awareness, monitoring the financial performance, and protecting your brand against any misuse.  

Conclusion   

We have covered the 10 best image recognition tools in 2021. These tools can help businesses improve not only brand recognition but also create new possibilities. By classifying and understanding relevant information from images, companies can transform data into benefits.  

We have listed down the best image recognition tools in 2021. Even though the list is endless, but this is our take for the best image recognition tools. Feel free to comment on your favorite below. 

Author Bio

The post 10 Best Image Recognition Tools for 2022 appeared first on Tech Research Online.

“We live in an era of big data.”  

In the past year with the growing amount of Big Data, datasets have become so complex that traditional BI solutions either fail in getting, dealing, preparing or just understanding the data.  

But data is everywhere and growing with every click. We need to find ways to handle it and leverage it for our benefit.   

Google, Netflix, Spotify, Facebook, and Amazon are leveraging user data and mixing it with their unique profile to create new products. Such products are more likely to be loved by users.  

Similarly, governments and hospitals, are utilizing augmented analytics to find efficient ways to administer services.  

If an organization wants to thrive in the information age, they need to uncover the insights hiding in data. Digging through this data is tedious and tough but the right tools can make this process efficient and simple.   

In this blog, we are going to help you identify the solution to your changing data needs and their relation with augmented analytics.  

What is Augmented Analytics?  

According to Gartner’s 2018 research, Augmented Analytics Is the Future of Data and Analytics, “Augmented analytics uses machine learning/ artificial intelligence (ML/AI) techniques to automate data preparation, forensic discovery. and sharing. It also automates data science and ML model development, management, and deployment.”   

Augmented analytics is artificial intelligence that will change everything about business intelligence and business analytics.   

Machine-Generated Business Intelligence  

Traditional BI  

Analytics and business intelligence have been around for quite some time now. In 1958, Hans Peter Luhn, IBM researcher, published a white paper “A Business Intelligence System.” in the paper, he posited that because “information is now being generated and utilized at an ever-increasing rate because of the accelerated pace and scope of human activities.”   

According to him, to process this we will require new technological tools as organizations will need all that information for making better organizational decisions.  

Traditional BI was the first iteration of general-usage tools which focused on connecting to single databases and generating reports.  

Analysis was unsophisticated and under a small class of dedicated analysts. But there was immense potential for improvement. This improvement came in the form of the next gen-analytics and self-servicing tools.  

Self-Service BI  

The drawbacks of traditional BI, including the need for skilled technical workers, lengthy insight times, and poor-quality data analysis, were addressed with self-service BI. Today, almost all the BI tool claims to be self-service.   

Today, Self-service BI solutions possess user-friendly graphical interfaces. These systems can handle millions and billions of data drawn from multiple sources: in-house databases and cloud storage.   

This system can be used by non-technical users and get them ready for analysis to speed up insights and eliminate bottlenecks. Modern BI solutions make data security, governance, and access control simpler. 

Different Data Approach  

Lastly, self-service BI systems have dashboard-building features. These features offer a wide array of infographics and easy color selection to make insights look good. This gives users across the board access to insights and eases to tag other users and add them to dashboards. This leaves no need to reinvent the wheel. However, these enhancements aren’t enough and there is an immense need to approach data differently.  

Business Intelligence Changes Over Time  

BI tools are continuously evolving from monitoring performance to being sophisticated Artificial Intelligence-driven analytics platforms.  

Thinking About Data and Analytics Differently  

Modern analytics and BI systems have a lot going for them, but there are still places for innovation. We need to re-think about data itself. Data preparation could be simplified and the business-led aspects of the industry need to be countered.   

While modern BI solutions can handle greater volumes of data, even with self-service systems, cleaning that data is still a manual process. This leaves room for human error before the analysis has begun!   

With Augmented analytics systems, AI components will improve this process. BI solutions are great at showing users the insights but there is a small problem, that’s all they show. If someone wants to know exactly what they’re looking for, then chances are they’re going to find it leaves little room for unexpected results that they might have not been thinking of. This is exactly the kind of information that can have a huge impact on the organization.   

The AI-assisted system can help humans to tackle this problem and get more out of their analyses. Easy-to-use analytics tools, made by AI elements can change organizations and allow users to make smarter decisions.  

Another huge reason is data itself. Human activities never stop making new data as data comes from countless human and machine sources. This poses a huge challenge for IT departments to marry these disparate data sources.

By relying on BI to make decisions, they will understand that they can’t rely on a small cluster of analysts to do all the crunching and database management.   

In a modern company, insights can positively impact workers, and the next big idea could come from anywhere. Traditional BI doesn’t work for the new world. So, what does the future of augmented analytics and BI look like? 

Looking Toward the Future  

Data is called the “new oil.”  

Why?  

Because companies see it as a powerful resource.   

And, if you want to leverage this resource, it’s not enough to have just a small team to plumb data for insights. Data access has to be democratized, especially with the stakeholders. This will enable them to access intelligent, self-service solutions to find answers to an important question that matter most to them, with game-changing analyses.   

Besides, data stored in off-site, proprietary, and third-party databases have to be ingested easily, securely, and with fewer resources for IT. This will quickly reveal insights and you can easily share them with others in the company.  

Democratization and Self-Service:   

With technology becoming more and more ingrained in organizations, the frontline workers have become are more tech-savvy than ever. But there just aren’t enough database experts to handle the tasks to govern and clean the data.   

Companies can leverage an AI-assisted self-service tool to derive insights on the scale of modern businesses where and when they need them with an easy-to-understand interface.  

Delivering Maximum Value:  

Adding data to analytics software is the most difficult of getting insights. In the Modern BI era, we are seeing solutions capable of handling disparate sources such as cloud storage, in-house databases, app APIs, CSVs, live data streams to perform complex analyses.   

But what if BI tools became smart enough to understand the connection between data sources? That’d be a game-changer.  

There has been a great demand for options for analyzing data and sharing results. The interface needs to have multiple ways to access it and make sense. Users also want a social way that provides simplicity to share their insights.   

Advanced modern BI systems allow the user to interact via chatbots and AI assistants like Ok Google and Alexa. AI assistances will even suggest people share findings with a fast process of disseminating findings to key members.  

What’s Next for BI: Augmented Analytics  

Augmented analytics and BI tools, in the future, will be quite different than the current tools. Augmented analytics, today, integrates AI into the BI process to help in data preparation and insight discovery. This will change with the subtle integration of artificial intelligence and natural language processing into augmented analytics.   

In the future of augmented analytics, data ingestion, understanding relationship in data, insight discovery, and interaction with the platform will become more streamlined.  

An intelligent augmented analytics BI system will start helping users when they begin interacting with it. Instead of manual data cleanup process, data ingestion will be radically simplified and AI components will do much of the heavy lifting.   

AI elements, within a few years, will surface these relationships via visualizations. This will allow users to drill down and look for more insights. Seamless processes from data ingestion to insight searching will be a huge time saver.  

Augmented analytics systems will also handle Big Data as companies already have data needs in billions. Despite the amount of data or its origin, these smart systems will handle them. They will also understand the differences between the datasets, how they interact, and how to query them for results. Instead of waiting for the users to perform analyses, these systems will be active in interweaving and analyzing the data.  

If a user is actively searching for new insights, AI systems will help them prepare. However, even at this stage, it will be different under the augmented analytics framework. AI in augmented analytics will be free of human biases and reveal crucial insights that humans never realized were important. They will do this by observing the connections in the ocean of data and suggesting relationships.  

Moreover, advanced machine learning algorithms aren’t biased, or bound by preconceived notions. They will deliver insights where they are found and will even become spatially aware of it.  

Once the insights are served, these smart systems will be able to walk users through the data and help them gain understanding. This is very opposite to them just giving the information. This change will extend beyond using the platform as many modern BI solutions now have mobile apps. Chatbot or Alexa integrations have allowed users to interact with the data in different ways and analytics will keep building on this trend.  

Augmented analytics and BI will become immersive as new insights and data will be accessible.

Conclusion   

Data is now Big Data. Countless users and devices are creating new digital records every second. This data is being processed and stored in complex ways. However, traditional technology is unable to handle the ever-mounting information. Hence, we need more powerful and robust AI-augmented analytic systems to make sense of this data.  

Every organization and government needs an augmented analytics platform to connect to these databases to find relationships within the data. These relationships are then converted into crucial insights with the help of human users and effortlessly share across the entire organization. 

However, in the coming year, they will also need ways to work with Big Data especially the one that goes beyond the usual analytics systems. This data can completely reimagine how users can relate to data. Augmented analytics will change how users experience analytics and change the world by serving up unimaginable insights. 

Author Bio:

The post Augmented Analytics: Future of Business Intelligence appeared first on Tech Research Online.

Artificial Intelligence is at the heart of a seismic shift in the financial industry. It has already started to empower banking organizations to redefine operation, establish innovative products and services, and impact customer experience.   

And the best part: we’re just beginning to feel the tremors of a far-reaching revolution.   

We are entering the machine age, banks who are early adopters of these technologies will have a serious advantage and find themselves on the competitive edge.

However, if they lag then the upstart fintech firms will leverage these advanced technologies to take them over with their sophisticated algorithms.   

Hence, if the players in the finance industry want to maintain a sharp competitive edge, they need to embrace AI and carefully weave it into their business strategy.  

In this blog post, we will examine the dynamics of AI ecosystems in the banking industry by understanding AI’s colossal impact on banking.

We will also see major disruptions in the industry. Finally, we’ll explore how AI is changing banking and its future financial impact.   

1. Financial Institutions Became early Adopters of AI to Secure their Futures. 

Analysts predict that throughout the next 10 to 15 years, AI applications will create $1 trillion funds for the financial industry in savings. These savings will be achieved through a mix of office efficiencies encompassing everything from improved data processing to shifts in staffing levels.   

One trillion dollars is a huge number; however, it fails to help us understand the impact these applications will have on midsize FIs. But, to translate it more easily consider these figures for your bank:    

• 34% increase in revenue  
• 22% reduction in operating expenses  
• 30% higher sales conversion rates  

Now, imagine the impact of those results on your bottom line!   

AI is poised to spur unprecedented gains for all those who are prepared to embrace it in the financial industry. More than 70% of big banks are already planning to implement AI solutions for front- or back-office.    

Unfortunately, midsize banks are struggling as only 2% have deployed technology and in the near future, only 13% are planning to invest in AI.  

For sure, it’s a challenge, however to midsize banks need to do some forward-thinking and their credit unions should recognize it as an opportunity if they want to flourish in the future. Most importantly if competitors are ignoring it then it means that it is time to begin implementation.   

2. AI will Fuel Revenue Growth 

By the year 2030, artificial intelligence-powered applications will boost revenues by 34%.   

How?   

AI-powered applications can help boost revenues by leveraging the power of machine learning. Deep learning applications can identify motivations and sales triggers by scanning millions of records and examining consumer behavior.   

Then, computers can be used to automatically deliver targeted messages to customers by applying that knowledge.  

3. Higher Conversions with Personalized Offers 

The foundation of sound marketing practice is delivering the right message (offer), to the right people, at the right time.   

New-age bankers draw on experience to achieve that trifecta and drive customers to their branches. However, with AI, they can take a deeper dive by automatically delivering personalized offers which makes it more likely for customers to act on.   

The best part, you don’t need any staff intervention. For instance, organizations that implement virtual assistants and chatbots for customer service report 30% higher conversion rates from sales.  

4. Automated up and Cross-Selling 

Artificial intelligence in the banking sector can learn consumer behavior trends and according to that auto-suggest up and cross-sells to interested customers. The technology can suggest appropriate selling to bank staff during their face-to-face interactions with customers.    

Let’s take an example, most of the current web interfaces have post banner ads and pop-ups to automate upsells and cross-sells. However, we are not sure as to how many times they work or if they are as efficient as they could be.    

Instead, what if, you have a chatbot to greet customers by their name and voice? What if that chatbot or assistant initiated conversations based on a user’s transaction history? For instance: “Hello Ann, I can see that you sent nine international wires in the past week. Did you know of other electronic payment options available at a lesser cost?”  

Unsurprisingly, customers are more responsive to that kind of prompt than banner ads.   

5. Robo-Advisors 

Are we talking about taking financial advice from a machine?   

Yes, and trust me it’s not that far-fetched. Plus, it can yield far bigger dividends than personalized advice as that is prone to human error.   

In reality, customers can process little AI and data that funnels through numerous neural network layers. Plus, its solid market advice helps keep customers coming back by building wealth.    

6. Alerts for High-Risk Customers 

Artificial intelligence applications can help banks recognize warning signs that a customer is about to jump ship.   

How?  

Well, AI can do this simply through constant monitoring and tracking their reduced platform login frequency and large withdrawals, for example. Computers can, then, automatically alert banking staff, giving them a chance to intervene.    

Such automated processes help grow revenues by freeing banking staff and saving time to focus on deeper, valuable customer engagements. In turn, that can help yield greater profitability by improving a better customer experience, and ultimately, earn more sales.   

7. AI will Offer Significant Savings 

Increased revenues are just a part of the equation as AI implementation can help banks save tons of money. This is because there’s no better way to cut costs than with artificially intelligent applications without jeopardizing the quality of service.   

In fact, artificial intelligence in the banking system can deliver a better customer experience as it allows staff to focus on customer retention.    

8. Enhanced Customer Experience 

Artificial intelligence-powered chatbots and virtual assistants in the banking system are a breakthrough. They can onboard new customers, answer customer questions, and help in customer account management.   

This means that banks will no longer need staff to move money between accounts, or help customers reset their passwords, or find months-old bank statement copies.    

Moreover, image recognition can eliminate the need for passwords through advanced facial and biometrics recognition. This will enhance the customer experience, save time, and reduce costly security breaches.   

Banks can also leverage Natural Language Processing (NLP) for direct interactions with customers via virtual assistants such as Siri and Alexa. These bots can be deployed on different platforms, such as Facebook Messenger, to reach customers in their comfortable environment.   

Indeed, by implementing AI for customer service, organizations report 33% savings compared to a live agent call, 70% fewer calls and email inquiries, and massive savings in staff time.   

9. Improved Operational Efficiency  

Experts say banks that implement AI report a 22% reduction in operating expenses as compared to those savings through saved staff hours and error elimination.   

10. Accurate Processing  

Today, 70% of the banks prioritize integrated receivables, and for good reason For instance, according to some NACHA estimates more than 60% of ACH payments arrive separately from remittance information.

Stranded receivable means that staff members have to track down email remittances and manually enter data. This, in turn, delays posting, lengthens DSO, and impacts cash flow.   

By leveraging intelligent automation, banks can analyze large unstructured data without human intervention and reassociate payments. In fact, AI can increase processing rates by up to 95%.   

11. Workflow Automation, Contract Reviews, and Reporting 

Bank staff analyzes and organizes unstructured data which is tedious, costly, and error-prone work. The banking sector can utilize artificial intelligence algorithms and robotic processes for quick automated workflows and eliminate the need for human involvement.   

Over time, AI become even more efficient and lead to billions of dollars in saving across the financial industry.    

12. Improved Risk Management and Compliance 

We all know that fraud costs banks millions if not billions. And, even if a bank is lucky enough to reclaim funds lost through the fraudulent transaction, they have to relegate staff to fraud management.   

The application of artificial intelligence in the banking system can help prevent fraud. AI algorithms can scan millions of credit card transactions to detect potentially fraudulent transactions.    

Moreover, AI-powered applications can help banks automate Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance. These tools can extract data from a different source to quickly flag suspicious activity during onboarding or examine millions of transactions.    

Finally, AI supports reliable credit decision-making by analyzing millions of data points against both traditional and non-traditional criteria to arrive at instant credit decisions. For instance, borrower education and job history.

This will be beneficial to financial institutions at three-folds: minimize risks, confident investment in high-value customers, and quickly lending of funds to avoid losing business to competitors. Lastly, this reduces the need for human intervention.  

Author Bio:

The post AI In Banking: How will Artificial Intelligence Change the Banking Industry?   appeared first on Tech Research Online.

Gone are the days of bulky projectors that were too heavy on your pockets. Today, we have some small, portable projectors that are the mightiest of them all.

Here’s our list of the best portable projectors you can buy this year. All the listed projectors are compact and easy-to-carry, ideal for transporting anywhere.

Note that, not all portable projectors in this list will be ideal to watch the latest Christopher Nolan film as you’ll want a 4K or Ultra HD screen for that. But, all of them are ideal for people who travel for work often.

For instance, if you are visiting some clients and need to make quick presentations then these portable projectors will allow easy set up in a matter of minutes. This will allow you to conduct presentations quickly and easily using your equipment.

That said, they can also be used for entertainment as they can give you a large home cinema projector screen. Make a note of maximum screen size and resolution, though. Now, let’s jump directly to the list of best portable projectors:

ViewSonic M1 mini–Pocket LED Ultra-Portable Projector

ViewSonic M1 is the most versatile and possibly the best general portable projector out there. The projector has a decent selection of ports despite its size and makes it easy to hook a range of devices.

Its small and portable design is stunning and makes transporting easy. However, the projectors have a low resolution which means that image quality won’t be as good as some of its competitors.

Also, its brightness at maximum is still a bit too low, which means that images can look washed out in bright environments. Despite its few drawbacks, it’s a great portable projector, especially for work presentations, and value for money.

ViewSonic M1 SPECIFICATIONS

• Projection system: LED
• Resolutions: 854 x 480
• Brightness: 250 lumens
• Contrast ratio: 120000:1
• Video inputs: HDMI, SD Card, USB-C
• REASONS TO BUY: Compact design and a good range of ports⁷
• REASONS TO AVOID: Low resolution and not that bright

Now, if you think that you’ll rather have recently launched projectors, the ViewSonic M2 was just released. That too is a great option for people who are looking for an updated version of ViewSonic M1.

Optoma ML750e HD-ready portable projector

ML750e by Optoma is a great portable palm projector that is a lot more powerful than the pocket-sized PicoPix from Phillips. Despite weighing just 380g, it’s not quite as small. Its small footprint makes this easy to carry.

The differences between the sizes of ML750e and the PicoPix are negligible as you get more power in return. A 700 Lumens lamp that allows you the freedom to present in bright rooms.

Optoma ML750e is a great option due to its impressive port range: a USB 2.0 slot for thumb drives, an MHL-ready HDMI input, a universal I/O slot, and a microSD card slot.

ML750e SPECIFICATIONS

• Projection system: DLP
• Resolutions: 1280 x 800
• Brightness: 700 lumens
• Contrast ratio: 10000:1
• Video inputs: HDMI, VGA, microSD, USB
• REASONS TO BUY: Good brightness and versatile projector
• REASONS TO AVOID: No Wi-Fi and tablet integration requires a dongle

When tested on a 90-inch screen, ML550 gave impressive results and peaked at a 60-inch size. The only drawback of this projector is that you’ll need to buy a dongle for Wi-Fi access.

Epson EB-S41 SVGA Projector

Epson EB-S41 is the best small projector as it does not compromise on features for its size. Usually, when selecting portable projectors for business applications, you have to make sacrifices in terms of features to have a small device. Luckily, this is not the case with the Epson EB-S41.

Unlike many other small portable projectors, its 3,300-lumen brightness is much brighter, meaning you will have more flexibility during setups in environments with ambient light.

Epson EB-S41 SPECIFICATIONS

• Projection system: LCD
• Resolutions: 800 x 600
• Brightness: 3300 lumens
• Contrast ratio: 15000:1
• Video inputs: USB 2.0, Wi-Fi, VGA, HDMI, Composite, S-Video
• REASONS TO BUY: Small and portable and very large projection size
• REASONS TO AVOID: Not high definition and 4:3 aspect ratio

Similar to the previous two, but with more flexibility, EB-S41 is small and light enough to carry around on business trips. The projector also offers a very large projection size which is up to 300 inches. This quality in particular makes it an incredibly versatile portable business projector.

LG CineBeam PH550G Portable Projector

LG Minibeam PH550G is a brilliant, wireless portable projector, ideal for working users. Thanks to its compact size, it allows smooth functioning on the road and justifies its place on our list of the best portable projectors. As the projector is wireless, it allows you to connect smart devices to it, and showcase your presentations easily and quickly.

LG Minibeam PH550G SPECIFICATIONS

• Projection system: RGB LED
• Resolutions: 1280 x 720
• Brightness: 550 lumens
• Contrast ratio: 100000:1
• Video inputs: USB, HDMI, Composite, RBG
• REASONS TO BUY: Easy to carry and Plenty of connectivity options
• REASONS TO AVOID: Not HD and No microSD

Despite its small stature, it is great for impromptu meetings as it offers brilliant image and sound quality in a compact size.

ASUS ZenBeam E1 Portable LED Projector

Asus ZenBeam E1 is a beautifully designed small pocket projector. It is lightweight so you can carry it when you are making presentations on the road or just like to watch a movie while traveling.

Despite its small size, the projectors can project images up to 120 inches in size, with its 6,000mAh built-in battery. Its battery can power the projector for up to 5 hours, making it rather flexible, so you don’t have to worry about recharging it after every session.

One feature that is a rather nice touch is the projector’s ability to double as a power bank for other devices.

Asus ZenBeam E1 SPECIFICATIONS

• Projection system: DLP
• Resolutions: 854 x 480
• Brightness: 150 lumens
• Contrast ratio: 3500:1
• Video inputs: HDMI, MHL
• REASONS TO BUY: 5-hour battery, very small and portable, and it can double as a power bank
• REASONS TO AVOID: Low resolution and low light output

Asus ZenBeam E1 is not just the most powerful portable projector, but it provides ease of setup and versatility with its eye-catching design.

How to choose a portable projector?

If you are confused as to what you should look out for when buying the best portable projector for your needs, here is a quick guide:

For your first step, make a list of features that you want in a projector. This list will entirely depend on the purpose of the projector. For instance, a businesses person will have different requirements than a traveler.

Secondly, make sure that the portable projector you are looking at has all the features you need and the connectivity options that you require. You don’t want to buy a projector that is not compatible with your existing devices. It should have HDMI, to allow you to plug in almost any device, or you can opt for one with a mini HDMI port if you ever need a special cable.

Meanwhile, other portable projectors have a simple USB output, which allows you to connect with laptops and other compatible devices. Some laptops also offer wireless connectivity, making broadcasting from smart devices easier.

Thirdly, you need to look for battery size as you don’t want your project to die in the middle of a presentation or a movie. While most projectors have batteries, some still need to be plugged into a power supply. Here, you should decide according to your needs.

The fourth step is to make sure if your portable projector has built-in speakers. Because if it does, that means that there is one less thing to carry around. But don’t go expecting cinema-like sound quality from those small speakers.

Lastly, we all have our budgets, and it’s always best to compare tool prices on different websites before buying.

Conclusion:

In this blog, we have covered the top 5 best portable projectors to buy in 2021 and how to choose one for yourself. check out more of our Technology related Blog. If you have any more questions, leave them in the comment section below.

Author Bio:

Shreeya Chourasia is an experienced B2B marketing/tech content writer, who is diligently committed for growing your online presence. Her writing doesn’t merely direct the audience to take action, rather it explains how to take action for promising outcomes.

The post Portable Projectors in 2022: Compact and Easy-to-carry appeared first on Tech Research Online.

Word documents, spreadsheets, and presentations are files we often use regularly, whether at home for general life admin or work.   

Microsoft Office comprises Word, Excel, and PowerPoint for word processing, spreadsheets, and presentations. After the early success of MS Word (launched in 1983), it was announced as a package by Bill Gates in August 1988.  

Microsoft Office has been a staple software package for universities and workplaces. Everyone who has been enrolled in schools and universities in the past 15-20 years has some familiarity with using MS Office.  

Following Microsoft’s initial domination in the world of the operating system, Apple came to the fore. Steve Jobs bought high-tech hardware as well as software to the tech scene.

Being a Microsoft program, Apple’s computers did not come with preinstalled MS Office. Instead, the company encourages users to delve into their business solutions, such as iWork.    

Despite the many hurdles, Microsoft and Apple have remained top players and competitors in the tech world. Let’s take a look at the differences and similarities of Office v iWork to uncover which software is best for you:  

Operating Software  

The key factor to consider while choosing between MS Office and Apple iWork is their operating system. Apple’s iWork is available to use on Apple devices (Mac, iPad, iPhone) and can only be used on a Windows device via iCloud.

Besides, Apple does not offer a compatible desktop version of iWork. However, when using Mac, you can download Office and Apple iWork from the app store.  

Compatibility  

When you are working solo or with other Mac users, it is relatively easy to use Pages, Numbers, and Keynote. However, you might find a lot of compatibility issues when sending and receiving iWorks files in a room full of PC users.   

To resolve this issue, Apple has allowed an easy import and export of files to popular Microsoft Office formats, such as .docx, .xlsx, and .pptx. However, image sizing, fonts, and layouts can sometimes be hard when converting between file formats.  

Functionality  

Take a first look at the basic function upon initial glance, both the office suites perform in a very similar way by offering similar functionality. When you compare several features in both the application, iWork’s applications act as a like-for-like substitute for MS Office in many ways for a standard user. However, once you start digging deeper and you will find differences between the two packages.   

User interface  

Many users find the simple and less crowded interface of the iWork suite more aesthetically pleasing. So much so that MS Office has tried to copy some designs in its latest update.   

To make the device as such, Apple has taken steps away from overwhelming menu options like Windows. They left the most utilized features easily accessible even to users with no training.

However, the same design can be a hindrance when creating more complex documents as useful tools are hidden in obscure places compared to Windows.  

Mobile Integration and Cloud Storage   

iWork allows you to store and access files from anywhere for free as it is fully integrated with iCloud online storage. Besides, it works across multiple devices which means that you will never have the stress of losing a file due to a corrupt memory stick ever again.   

In the case of MS Office, only business users have the option to store files online on a monthly price plan. This means that they’ll need to have an Office license assigned and SharePoint online, via OneDrive.  

Sharing and Collaboration  

Both Apple and Microsoft allow multiple users to seamlessly collaborate on the same document in real-time, for free using their collaboration tools. These tools are supported across many devices.  

Individual Applications at a Glance:  

Word vs Pages  

Software packages, MS Word and Pages, are both very similar when it comes to their offered features. Both have basic word processing features including custom headers and footers, text formatting, footnotes, bullets and number lists, pictures, and images.   

But from here the difference starts as Pages comes with its document design, particularly for flyers, leaflets, and posters to help you format them with ease. Besides, it allows you to add charts to the document which is a major feature missing from MS Word.   

However, Microsoft Word outperforms Pages when it comes to writing tools, including spell-checking and word count tools. Also, Word provides a variety of formatting options.

The best part is that it allows you to add special effects to text such as 3D or shadow. You can even add special effects to imagery such as reflection, drop shadow, and much more.  

Excel vs Numbers  

In general, Excel, despite its aesthetically unpleasing design, is far easier to work with than Numbers. Excel is particularly great while working with large amounts of raw data.

Both Excel and Numbers are packages that work for everyday budgeting and planning. However, Excel is better for academic or professional use as it offers a larger range of features and functions.  

Apple used the same clean-cut approach it did for its other software when creating Numbers. This means that formulas and shortcuts are not obvious to find when compared to Excel’s menus.   

From a learning perspective, compared to Numbers, you can find a great range of resources and ‘how to’ tutorials for Excel.  

PowerPoint vs Keynote  

Keynote exceeds PowerPoint when it comes to design. Keynote allows users with no design background to create sleek and stylish presentations easily.

It offers them easy options to pull images, sounds, and video with a wide range of in-built themes, layouts, animations, and fonts.   

While PowerPoint is far more functional than beautiful, it is powerful presentation software. If you can use it to its full potential then it can provide a lot of control over your design.

However, its complexity can become a hindrance for users who don’t know how to use it. Besides, it’s always easy to create ugly presentations with over-the-top transitions.  

Conclusion:  

iWork works well in a Mac operating environment, while MS Office works well in a Windows operating environment. Former allows immersive experience in the Apple ecosystem without additional software, while latter offers familiarity and comfort when transferring files without compatibility issues.  

Apple applications have a beautiful and clean design keeping with Apple’s sleek aesthetic pleasing look. It can fulfill almost all of the requirements of everyday users. Office software, overall, includes features and better user control and functionality (which are not utilized every day, but useful to have).  

If you are looking for the perfect operating software for you, don’t limit yourself to Apple and Microsoft. But you can also look for other alternatives, such as the free “LibreOffice” and Google’s online competitor G Suite.  

Author Bio:

Shreeya Chourasia is an experienced B2B marketing/tech content writer, who is diligently committed for growing your online presence. Her writing doesn’t merely direct the audience to take action, rather it explains how to take action for promising outcomes.

The post Microsoft Office vs. Apple iWork Review: Which is Better? appeared first on Tech Research Online.

Apple cracked into the Fortune 500 in 1983, a spot it has held onto ever since. And, we all know the reason why?  

Apple always served their customers only the best and never disappoint with its smartphone in terms of speed and usability. The company has always managed to offer the fastest processors in the whole industry.   

For instance, Apple’s A13 chip, offered in Apple iPhone 11, alone is faster than the smartphones launched that year. Soon after, iPhone 12 came with an A14 bionic chip which took the title of the fastest chip and holding it still.   

However, now with the launch of Apple 13 things are going to change. iPhone 13 series comes with the A15 Bionic chip, passing all tests and proving itself to be much faster than the previous A-series Bionic chip.  

Apple has taken lead over its competition with this new processor which will supposedly become the fastest chip in a smartphone.

Here’s what Apple says about the A15 Bionic chip in the iPhone 13 Pro:  

With 5-nanometer technology, A15 Bionic — the fastest chip in a smartphone — features a new 5-core GPU in the Pro lineup that brings the fastest graphics performance in any smartphone, up to 50 percent faster than the leading competition, ideal for video apps, high-performance gaming, and the slate of new camera features.  

Let’s understand more about this chip, for instance, its performance advantage and are the changes over the previous A14 Bionic.  

When will it be released?  

Apple has confirmed the release of A15 Bionic inside the iPhone 13 and iPhone 13 Pro.  

What are the Features of the A15 Bionic chip?  

The Apple A15 Bionic is a System on a Chip (SoC) from Apple. The chip offers 6 cores which are divided into two performance and four power-efficiency cores. It is manufactured at 5nm. The CPU performance increases only slightly compared to the A14, but GPU offers higher gains. 

What is different in A15 Bionic?   

Usually, the new processor gen comes with smaller process nodes to allow for faster performance due to more transistors. However, the A15 has the same size 5nm manufacturing process. This is an indication that the chip might not be a greater changer than previous processors as we hoped.  

Notably, the company has already confirmed 15 billion transistors in the A15 Bionic. This is a drastic increase from the 11.8 billion transistors found on the A14 Bionic meaning a performance jump compared to the iPhone 12. 

A15 Bionic chips will also use the same number of CPU cores as the A14 which is 6 cores: four energy-efficient and two high-performance cores. The improvements in the architecture will ensure that the all-new iPhone 13 is more powerful than the previous.  

Interestingly, the company is offering two different A15 Bionic configurations in graphics. So, the iPhone 13 Pro will have 5 GPU cores while the iPhone 13 will have 4. This will mean that 13 Pro will be faster when it comes to editing videos and running games. This is the most powerful graphics performance in a smartphone, according to Apple.  

Lastly, Apple A15 Bionic features a 16-core Neural Engine capable of 15.8 trillion operations per second. This allows for improved machine learning, which boosts the likes of Siri and Live Text in Camera.  

The A15 Bionic chip has overwhelmed its competitors with its achievement. In the first round, the chip has also achieved an average frame rate of 198 frames per second. In the second round, whereas, it dipped to 140-150 frames per second. These results are expected as the manufacturers limit the parts to reach their full potential. This is done to ensure temperature control.   

A15 Bionic was ahead in tests from the A14 Bionic and is likely to be 14% – 15% bigger in size. This will now be the fastest and biggest processor the company has ever produced.   

We can expect Apple to leverage the advanced N5P architecture of TSMC for less battery consumption.  

Conclusion:  

Apple recently introduced the iPhone 13 and iPhone 13 Pro, this time they have slight differences in terms of performance. However, the GPU in the A15 chip found in the iPhone 13 Pro is more powerful than in the iPhone 13.   

The A15 Bionic chip’s GPU in the iPhone 13 mini and iPhone 13 features four cores. The company says the A15 delivers 30% better graphics performance compared to its competitors. The A15 Bionic chip in the iPhone 13 Pro and Pro Max, the GPU has an extra core for a total of five cores to deliver up to 50% better performance. 

Author Bio:

Shreeya Chourasia is an experienced B2B marketing/tech content writer, who is diligently committed for growing your online presence. Her writing doesn’t merely direct the audience to take action, rather it explains how to take action for promising outcomes.

The post Apple’s A15 Bionic Chip: Everything You Should Know appeared first on Tech Research Online.