The ubiquitous use of the term "Artificial Intelligence" (AI) in recent years has led to a devaluation in its meaning. This is problematic, as, when utilised effectively, the technology can unlock countless new revenue streams and drastically improve business operations for almost any organisation. One aspect of AI that is already making waves in the business world is Robotic Process Automation (RPA); a facet of AI that can extract and process different types of data to provide actionable insights. In essence, RPA provides a way of automating the menial and basic but essential tasks, such as billing and tax returns, that every company is required to carry out. This has particular potential in the field of enterprise mobility – the use of mobile devices for business. For enterprise mobility, RPA will help businesses do more than just simple mobile device management (MDM).

The Oil and Gas industry has seen volatile times and is affected by its own set of unique challenges ranging from commodity price fluctuations, a potential supply crunch, geo-political events, and energy policies including energy transition. Moreover, the challenges and requirements are distinct at different stages of operations – upstream, midstream and downstream. The industry has been an early adopter of a few emerging technologies and is looking to leverage them to remain competitive and better employee management. Oil and Gas companies are having to clean up old processes, as the market gets increasingly competitive. Ecosystm research finds that the top business priorities for Oil and Gas companies do not stop at cost reduction and revenue growth.

There is hardly a single hour that passes by when we are untouched by technology. We are constantly engaged with our mobile devices such as smartphones or tablets, except for when we are asleep. Whether it is work or going about our daily chores, technology has found its way into every aspect of our lives. Contributing to this plot, companies are gearing up their operations to adopt enterprise mobility management to enhance the productivity and efficiency of their employees. Enterprise Mobility enables the company to encourage their employees to work anytime, from anywhere with access to data using their mobile devices.

At this point, it is imperative for our readers to understand that enterprise mobility not only implies people who are involved into working on mobile and devices, but it also involves mobile corporate data. The concept of AI is growing at a lightning pace and amidst all the ruckus around artificial intelligence, machine learning(ML) has been the crux of all technologies this year. There has been an increased maturity of cloud services and due to the easy availability of information at affordable prices, big data has been able to make its way into the mix and up the game for enterprise mobility. However, the security issues involved in the cloud still remains a problem. As a solution to this challenge, enterprises are going for more and more hybrid structures.

IoT (Internet of Things), Artificial Intelligence(AI) based solutions and Enterprise Mobility services have been the eye-grabbers when it comes to the top technology trends recently. At this point, it is imperative for our readers to understand that enterprise mobility not only implies people who are involved into working on mobile and devices, but it also involves mobile corporate data. Let's waste no time and jump onto the top enterprise mobility trends: The concept of AI is growing at a lightning pace and amidst all the ruckus around artificial intelligence, machine learning(ML) has been the crux of all technologies this year. However many companies fail to realize and anticipate the importance and utility of game-changing technologies like AI and ML, so they should now definitely start leveraging the advantages of these technologies along with the rise of BYOD. With the growing demand for BYOD, the AI based security will play a major role in the upcoming year.

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We not only help you keep operating costs down across the platform but also ensure that you can quickly begin to apply deep learning applications to work. Hardware resources need to be sufficient to synthesise large volumes of data to drive insightful actions. Fusion Informatics is one of the leading solutions providers for deep learning around the globe.

By Ashish Mittal As expected, the enthusiasm in the startup industry continued this year too, but with 2017 drawing to a close, now it is time to put 2018 in focus. There are certain key trends that are currently swirling in a froth of rumination and will be significant in shaping the business models in the coming year. Artificial Intelligence is REAL AI and ML are no more theoretical topics that were taught to the young impressionable minds through academic books. They now have serious applications and implications for businesses. AI is continuously pushing the limits of science and technology and helping us achieve the unfathomable.

A quick scan of recent media headlines makes Artificial Intelligence (AI) sound like a worst-case scenario for human workers, but IT leaders certainly don't feel that way. In fact, a reduced human workforce was the least likely outcome of AI implementation according to these experts--only 45% believe it's …

As enterprise mobility evolves, successfully predicting user requests and quickly deploying new technologies will become top IT priorities in 2018 and beyond. Over the next five years, what other mobile technology changes will businesses likely see? Recently, MOBI, a global Mobility Management Platform (MMP), conducted a global industry research survey to find out. By analyzing the responses of 300 IT decision makers, all of whom work for multinational organizations that employ at least 1,000 workers, a few surprising future enterprise mobility trends were revealed. A quick scan of recent media headlines makes Artificial Intelligence (AI) sound like a worst-case scenario for human workers, but IT leaders certainly don't feel that way.