Face recognition is not a new feature. But it’s one of the most important use cases of Artificial Intelligence today. Organizations use face and image recognition features to deliver memorable digital user experiences to people. The face recognition feature is quite common nowadays in the form of mobile biometrics. Image recognition features are more prevalent in social media networks.

The market for Face/Image recognition is growing evidently, and is estimated to be close to $10 billion by 2023. With AI powering it, the technology can recognize people just like a human brain can. Back in the days, it wasn’t easy for mobile app developers to implement this feature in web, mobile or desktop apps. But now, there are qualitative APIs that can help them get it done effectively.

Here are a few popular ones that app developers should try out at least once.

Amazon Rekognition

Amazon Rekognition is an image/video recognition tool that can analyze image and video files in Amazon S3. The API is powered by deep learning technology developed and owned by Amazon.

Key features include:

  • Face recognition in videos and images
  • Facial analysis to determine emotion, age range etc.
  • Text detection in images
  • Unsafe content detection
  • Object/activity detection

Kairos

Kairos is another popular face recognition API that utilizes a potent combination of computer vision and deep learning to recognize faces in videos, images, and in the real world.

Key features include:

  • Face recognition and identification
  • Gender and age detection
  • Multi-face detection
  • Diversity recognition

Microsoft Computer Vision API

A widely used API developed by Microsoft, the Computer Vision API can process visual data in real-time and possesses machine-assisted image moderation capabilities. Developers use this API to implement a feature that lets the application identify people who were previously tagged in images.

Key features include:

  • Image analysis
  • Real-time video analysis
  • Text detection in images
  • Read handwritten text in real-world environments
  • Recognize over 200,000 celebrities and landmarks

Watson Visual Recognition API

The Watson Visual Recognition API deserves to be on this list as it’s a favorite for a lot of developer communities in the web. The API enables tagging, classifying, and searching visual content using deep learning algorithms. Another great feature is that the Watson Visual Recognition API can be integrated with Core ML to build complex iOS apps with computer vision and analytics capabilities.

Key features include:

  • Analysis of object, face, explicit content etc.
  • Pre-defined image analysis models
  • Creation of custom models that can be trained

Google Cloud Vision

Google Cloud Vision features a number of pre-trained models for impressively accurate image recognition and analysis. The API allows developers to build use case-based custom models using AutoML Vision.

Key features include:

  • Wide array of pre-trained models ranging from transportation to wildlife
  • ML Kit integration for Android iOS app development
  • Handwriting, face, and landmark detection
  • Explicit content detection
  • Sentiment analysis

Conclusion

Even with the right tools and APIs, implementing face and image recognition features in apps is a complex process. In addition, this also requires trained AI/ML models. To conclude, all this and more can be done only if the developer has great expertise in leveraging AI and app development. AOT has proven expertise in developing complex AI-driven mobile apps for Android and iOS platforms. If you are planning to utilize a next-gen app with facial/image recognition features, we can help. Get in touch with us to check out our track record.

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A few years ago, only big corporations with a focused objective of rapid growth invested in augmenting themselves from the inside out to thrive in a potentially highly competitive future. But today, even SMBs are coming forward to invest in business transformation approaches that involve capitalizing on powerful new digital technologies and trends.

Modern businesses need to operate more efficiently and establish themselves in new markets faster than before. Additionally, many businesses are also focusing on improving customer experiences in order to improve business outcomes. It’s safe to say that business transformations will be gaining even more momentum this year.

However, achieving such a transformation is a big challenge in itself. As a first step, IT teams should devise a digital strategy that addresses all the limitations of the business including legacy technology limitations, and make the most of all the strengths of the business.

Here are a few important trends that could help a business succeed in transforming itself efficiently.

Focusing on one digital approach

A recent DXC Technology report found that companies tend to invest in a single digital approach to accelerate business transformation. There certainly will be a lot of big strategic commitments involved. Another surprise is the fact that many organizations are actually avoiding hybrid traditional digital strategies and going for an approach that can essentially unify their business without compromising its integrity and security.

Leveraging next-generation IoT platforms

As new IoT platforms pop up, businesses are exploring new opportunities to merge their traditional data sources to new ones, obtain more accurate data inputs, enhance existing real-time data analytics capabilities etc.

Cloud & AI for a smarter IT infrastructure

Businesses are closing in on realizing the idea of a smarter IT infrastructure. To make it happen, many businesses rely primarily on the cloud and Artificial Intelligence. An effective combination of the cloud and AI can help build an ecosystem driven by AI-powered applications with nigh unlimited resources. Such applications grant more power to users while also offering lower reaction time and better, more localized analytics.

Improving services with better decision-making capabilities

Companies have realized that data is the key to a faster growth. They now mine tremendous amount of data to uncover valuable information that will help them make informed decisions. This trend has led to an increasing demand for AI & ML-based tools and big data analytics capabilities. Making more educated decisions subsequently improve the services an organization offers.

Shutting down enterprise data centers

Data centers are slowly going obsolete, and it is evident this year. The proliferation of the cloud led companies to shift their workloads onto the cloud. Many companies move their mainframe workloads to specialized data centers while most others are shutting down their data centers. Traditional data centers are running out of steam. But the bright side is that companies can serve distributed customers better and access higher bandwidths to improve functionalities.

Conclusion

Business transformation is the initiative enterprises are most keen on taking this year. They adopt different approaches for the purpose but often fail to realize that sometimes it’s the little things that could have the biggest impact. The trends mentioned in this blog should help an enterprise in its venture to trigger a transformation to thrive in a competitive world. If your enterprise is on the lookout for next-generation digital solutions that can facilitate digital transformation, AOT can help you build one instead. Talk to our experts to learn more.

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It isn’t a surprise that more enterprises are coming forward to invest in the Internet of Things in 2019. As more IoT value propositions pop up and adopters increase, it’s important to focus on the idea of managing the end-to-end life cycle of IoT devices.

The Internet of Things is essentially an ecosystem where different types of solutions come together to solve a problem. It will be up to the adopter to support this ecosystem so that IoT delivers on its promises. And supporting IoT effectively will only be possible if the organization can devise a unique set of support strategies, and possess the right skillset to oversee the execution of that strategy.

Capitalizing on this managed service opportunity would certainly pose a great challenge to CIOs this year.

Here’s how organizations can ensure that their help desk is fully capable of supporting IoT.

Train help desk personnel

Help desk responsibilities, when it comes to IoT, can change as the technology evolves. So the support team will need adequate training to respond to IoT issue tickets. CIOs can invest in AI solutions to help provide support to end users. Users can also be given self-help resources & access to other knowledge bases. But not all problems can be resolved by relying on such resources, knowledge bases or AI support. The help desk should ultimately be capable of resolving issues which means they should be extensively trained on IoT technologies & their radical changes.

The support team should not be focused on applications alone

IoT isn’t like any other technology we have today. It’s quite complicated yet still at its infancy. Therefore the IoT support personnel will require in-depth understanding of new IoT equipment, sensors, and other components as well as their network interface, security aspects, communications, and associated IoT applications. To conclude, help desks shouldn’t be focused on IoT apps alone.

Ensure collaboration between help desk and network/security departments

Resolving IoT issues may sometimes involve not just software but also hardware, security, and networks/communications. Therefore, the support team should have access to network and systems, and should also have the provision to contact operations personnel should they require deeper level expertise. Typically, help desks are isolated from the core departments. But it should be different in IoT’s case. It’s up to the CIOs to establish a collaborative IoT support environment.

Ensure vendor-responsiveness

The challenges associated with IoT can be both complex & simple at the same time, and can overwhelm an organization that isn’t properly equipped to provide support. IoT solutions don’t have a standard operating system. There are a lot of IoT vendors that offer unique IoT solutions. So help desk personnel may not always be able to resolve certain IoT issues by themselves.

This is why CIOs should facilitate communication between the help desk personnel and IoT vendors to resolve issues. Vendor-responsiveness should be prioritized among various other variables that CIOs take into account to measure help desk performance. To learn more about managed IoT services and bespoke IoT apps, get in touch with AOT’s experts today. Drop us a message and we will get back to you.

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When the concept of Robotic Process Automation or RPA first popped up, it seemed like something that came fresh out of a sci-fi flick. Now RPA is one of the most observed forms of business process automation.

If you are wondering what it is, it’s just an advanced form of BPA (Business Process Automation) that leverages software robots or an AI workforce to handle high-volume tasks that previously only humans were capable of performing.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) developed a new system that enabled people to easily coach robots, through simple tasks, to perform complex tasks. Their demonstration resulted in the subject (robot) successfully performing tasks on its own 87.5% of the time. With a human operator overseeing the operation and rectifying minor errors, the accuracy further improved to 100%.

Forrester Research in 2018 also recommended that CIOs should leverage RPA to optimize operations in order to create and act upon insights that subsequently drive business technology innovation.

The Impact of RPA in Business Growth

In just a few decades, millions of baby boomers across the globe will be retiring. And baby boomers make up the majority of the planet’s population. We won’t have enough new workers to replace them all. This is one of the reasons why RPA is seen as a feasible solution now to thrive in a future where the demand for labor will be very high. However, due to this fact, RPA is also misunderstood as a career-buster.

That said, let’s take a look at why RPA adopters are on the rise.

Great cost savings

This is obviously one of the biggest benefits of implementing robotic automation -the business can enable 24/7/365 functional operations at a fraction of the cost of having a human worker. Automating business processes can cut administrative costs to a considerable extent and doesn’t require any extra back-office resources. All it takes is an initial financial investment and an effort to set things up for maximum efficiency and reduced errors.  

Complements advanced analytics

Modern businesses can maximize their potential by mining valuable insights from the seemingly irrelevant data they generate. Data hold that much importance among enterprises today. Using Robotic Process Automation properly can also ensure compliance of data-driven regulatory standards while also enhancing the business’ ability to predict outcomes and optimize business processes.

This optimization can be measured provided the organization has an advanced analytics strategy in place. Analyzing the business’ performance data will prove that the overall operational efficiency and productivity have increased thanks to RPA. The interesting fact here is that such an enhancement isn’t possible to achieve with human operation alone.

Better performance & more reliability

Business Process Automation techniques are meant to improve business performance significantly. That’s what RPA does, and the researchers from MIT can vouch for it as mentioned earlier in this blog. Robotic automation workflows are more efficient and can grant 100% accuracy if certain criteria are met. Such an automation strategy eliminates repetitive tasks allowing human workforce to focus their skills and experience on core business objectives essentially driving innovation and ensuring faster growth.

No need for IT resources

Another major advantage of RPA is the flexibility it grants a business to integrate with many popular technologies. You don’t need back-office IT resources for efficient RPA integration. As a matter of fact, it’s the technology integration part that many organizations find challenging. Large IT projects require systematic integration with existing systems and applications in the enterprise which is easier said than done. RPA integration is free from such complications. It has its own ecosystem.

The RPA’s core engine is designed to facilitate integration through its View layer, and is designed to communicate with existing desktop-level applications. A Robotic Process Automation solution can even ‘coach’ other systems to perform certain tasks.

Conclusion

With a growing market size valued at over $350 million in 2017, RPA can certainly bring about the future enterprises dream about. The increasing demand for AI-based enterprise solutions adds fuel to the flame as more companies integrate AI into their environments to transform things for the better.

RPA is trending in various parts of the globe. Back in 2017, North America bagged the trophy for the highest use of RPA emphasizing the increased penetration of automation approaches and business process optimization solutions. Asia Pacific, on the other hand, is the fastest growing when it comes to RPA adoption.

At AOT, we know our way around all forms of Business Process Automation including RPA driven by complex AI algorithms. If you want to give RPA a shot, drop a message to our experts.

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DevOps has been making waves for the last couple of years successfully revolutionizing enterprises, regardless of their size, across the globe. And the most intriguing thing is that despite its rapid advancements, DevOps is still at its infancy. Its accelerated growth is being closely observed by experts as well as organizations that have invested in it right from its beginning.

It’s been forecasted by many experts that the global DevOps market will exceed $12 billion before 2025.

Considering this forecast, last year many experts predicted that the growth of DevOps will speed up even more in 2019 to the point that the market will start experiencing an 18.6% CAGR through to 2025. The field is evidently headed to a promising future, and we will be exploring the pathways to that future in this blog.

Here are the major DevOps trends that will drive its growth in 2019.

More focus on continuous delivery

When DevOps started gaining momentum, one thing that stood out was the continuous integration (CI) benefits. As a matter of fact, the prospect of CI made many companies adopt a DevOps culture in 2018. But as 2019 began, companies widely started shifting their attention to include continuous delivery (CD) in their DevOps ecosystem – a trend that started in 2018 but soon neglected. This also started the ‘continuous integration vs. continuous delivery’ debate in online communities.

On the way to 2019, CI gradually lost momentum while the DevOps culture shifted its approach to more actively include continuous delivery in software development. To support this change, many companies have started adopting tools to streamline continuous delivery pipelines. Moving forward, we can expect companies to focus more on continuous delivery subsequently leading to the launch of better tools and practices that improve CI/CD pipelines.

Kubernetes and other containers will dominate

Containers are massively popular now. The effectiveness of containers is one of the many reasons why Kubernetes became a big success. As DevOps grows in complexity and adoption, the demand for containers will rise proportionally. Kubernetes will be at the forefront again in 2019 backed by its ecosystem that spans a wide array of platforms and vendors. However, this trend will put some pressure on IT teams to get things implemented the right way in their DevOps environments.

More DevSecOps adoption

Over the years, many technologies popped up but only a few thrived. The ones that became popular inevitably evolved to better versions. But that evolution came at a price. While technologies advanced, cyber-threats also rose. The growing number of security breaches have been a big concern for many organizations due to the impact it can have on a company’s value in the long run. Even AWS wasn’t safe.

The looming threat of cyber ambushes has also triggered an evolution of DevOps with more focus on security – termed as DevSecOps. In 2019, we will witness more companies adopting DevSecOps to encourage more collaboration in software development internally. This however demands a dedicated team to ensure that the process remains efficient.

More serverless computing

It seems IT professionals across the globe are intrigued by the concept of serverless computing. There were early adopters at first but the trend started picking up pace only recently. Functions-as-a-Service (FaaS) is the buzzword now due to the many benefits it promises – from faster startup times to optimized resource utilization. DevOps can potentially enhance serverless functions. So we can expect more companies to adopt the combo this year.

Increased visibility into processes

The increasing adoption of DevOps will also force organizations to research better, more efficient approaches to measure the impact of DevOps. The governance feature in many reliable DevOps tools are now supported by automated tracking and reporting mechanisms which also gives enterprises a holistic view of their ecosystem. For starters, they will know who made changes, what kind of changes were made, and when the changes were made.

This reduces feedback loops subsequently facilitating faster improvements and optimization of business processes. Such transparency also enables the team to identify pain points, understand what can work and what won’t, and improve areas that otherwise wouldn’t be noticeable.

Conclusion

It’s a wonder why many companies still think of DevOps as just another technology that promises to be beneficial in the coming times. It should be seen as a culture instead – something that brings conventionally disconnected components in software development, deployment, and delivery into one single loop. The trends mentioned in this blog will play a major role in helping DevOps reach closer to its full potential much more efficiently. If your business is considering DevOps or already adopted it, it’s important to keep up with these trends. Get in touch with the experts here at AOT to learn more about utilizing DevOps to the maximum.