Artificial Intelligence (AI) has been the most buzz word in the media nowadays and this is rightly so because it is impacting our everyday lives and we are not even realizing it. Right from the google maps which takes you through the least traffic route to the personalized recommendation on e-commerce websites, our lives are driven greatly by artificial intelligence. As we now enter a new decade of the 2020s, a question arises, are we standing at the dawn of Artificial Intelligence! AI Revolution If we look back from the past industrial revolutions to today's digital revolution, we see that we have changed a lot in our work standard and we have changed the way of our lives so much. There have been phases in the last couple of centuries, where a disruptive technology emerges that completely changes the way people work and live.

Technological advances like artificial intelligence, machine learning and big data are impacting the power sector as well, making it imperative for producers to re-skill resources, a senior official of Tata Power said. "With technological disruptions like artificial intelligence, machine learning, big data, augmented reality etc. that are impacting the power sector as well, it has become imperative to re-train and re-skill resources for emerging careers where the demand is more than the supply," Tata Power Chief Human Resource Officer Jayant Kumar said. Addressing the seventh Power HR Round Table organised by the University of Petroleum & Energy Studies (UPES), Kumar said, "Curiosity, courage and comfort with technology are the traits of a future digital worker." CEOs and HR heads of leading Indian companies in the power sector such as Tata Power, Power Grid, GMR Energy, Adani Green Energy, and DB Power deliberated on various challenges faced by the sector today and possible solutions, UPES said in a statement. "Power distribution companies (Discoms), due to their nature of work, have access to huge consumer data and they can use this data to foray into other allied businesses just the way cab aggregators are delivering food or e-commerce companies providing video-on-demand services," Ashis Basu, CEO (Corporate), GMR Energy, suggested.

Artificial Intelligence (AI) is advancing and penetrating swiftly into many areas, from smart personal assistants to self-driving cars. Though traditionally AI is portrayed as robots with human-like attributes, it can basically incorporate anything from autonomous weapons to Google's search algorithms to IBM's Watson. AI is primarily achieved by examining the human brain in terms of thinking, and determining how humans decide, learn, and work, while trying to accomplish a specific task. With the rapid advancements in the technology landscape, businesses are leveraging analytics, social, mobile, and cloud applications in their marketing activities. This is expected to help convert the business into a digital enterprise, in turn helping them target a larger base of consumers.

Though being a fresh trend in technology, artificial intelligence (AI) has already integrated into many aspects of our lives, including healthcare, transportation, fraud detection, toys, finance, and music. E-commerce is a comparatively new field in which AI is making bold changes, though it has yet to reach its full potential. Artificial intelligence technologies hold a huge potential for e-commerce automation systems such as inventory management, supply management, price optimization, and other related software. It also turns out that AI can help automate even more tasks and enhance user shopping experience. Visenze had recently shared a very pictorial infographic about the actual and potential use of artificial intelligence in e-commerce.

These are exciting times in the world of artificial intelligence as advanced capabilities escape the labs and become central to mainstream products -- think Amazon Echo -- and increasingly accessible to everyday software developers. Recently, we've seen a run of large companies open-sourcing their A.I. platform APIs. Google has open-sourced TensorFlow, its machine learning library. Not to be outdone, Amazon has released its TensorFlow competitor DSSTNE (or Deep Scalable Sparse Tensor Network) and Facebook has done the same with fastText, its machine learning engine for text classification and language recognition. Those big-company A.I. platforms join -- and in some sense compete with -- notable open source deep learning libraries like Caffe, Theano and Torch.