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IT services, tech startups put India on route to AI: ETILC

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By Jayadipta Chatterji Mehta A strong tech startup story and IT prowess give India an edge over others in artificial intelligence (AI) adoption. In the second part of our series on AI, members of The Economic Times India Leadership Council, ETILC's core group on technology weigh in on India's advantages as a market leader in IT services. "We believe India has a major advantage over other countries due to its vibrant tech-related startup ecosystem, strong IT services, and an offshoring industry, to harness the power of AI," they say. The members include Kaushal Sarda, CEO, Kuliza Technologies; Dilipkumar Khandelwal, MD, executive VP, SAP Labs India; Anil Valluri, President, India and SAARC, NetApp; AS Rajgopal, MD, NextGen; Piyush Sinha, deputy MD, NEC Technologies; Anuj Gupta, CEO, Hitachi Systems Micro Clinic, and Vikas Gupta, CEO and CTO, GreyMatter Software Services. For artificial intelligence and machine learning algorithms to run on big data, Indian companies require technology that will digitise and store data.


How Machine Learning Benefits the Transportation, Finance, Medical, and Manufacturing Industries

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With the advent of wearable technologies such as the Fitbit and the Apple Watch, devices are collecting billions of data points on consumers -- everything from their sleep cycles to their step counts to their heart rates. While that information is useful, what is even better is the insight machine learning can glean from analyzing this data. In the future, patient screenings will include software that analyzes health over time and allows doctors to predict health complications before they happen. Because behavioral changes are the most effective way to keep us healthy, proactive directions from doctors can replace diagnoses after the fact. Significant strides have already been made in this direction at the Georgia Institute of Technology, where deep learning is already able to predict heart failure.


Multiple helical magnetic soft robots carry us closer to understanding collective behaviors

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Magnetic soft robots are a promising option for contactless control in confined environments via external magnetic stimuli. Magneto-induced motions, i.e., magnetomotility, are driven by local deformation of a robot whereby particle alignments and alternating polar distributions are programmed into the body. Attempts to program magnetic anisotropy into the soft robots have been performed through direct laser printing (DLP), stereolithography (SLA) and fused filament fabrication (FDM) combined with multi-axial manipulation of electromagnets. Now, researchers have demonstrated facile preparation and actuation methods of magnetic soft robots without electromagnetic regulation. They constructed a three-dimensional helical soft robot through twisting of a two-dimensional polymer composite film.


Cities Of The Future: Preserving Privacy In AI-Powered Urban Planning

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What is good for the country might not work for a city and what is good for a city might not work for a small community. Successful cities or communities are usually built via a bottom-up approach, called localism. The archaeological evidence at Harappa, Mohenjodaro and other such sites are a testimony to this. Be it the sanitation or the street connectivity, the planning looks way ahead of its time. However, today, the people of the modern cities struggle to commute, breathe and carry out their routine.


Top 5 skills you must learn to tackle jobs in 2020.

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New technological advancements are shortening the way of life span of prevailing tech. Hence, there's a continuous demand for workers to stay up to date. It has become essential to survival in the industry. New upcoming technologies are making tech systems faster, agile and superior. Which technologies are going to be the movers and shakers on the world of tech in 2020?


How AI fleet Management Will Shape the Future of Transportation

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The future of transportation looks more promising than ever due to the exciting applications of AI in fleet management. Unpredictable road conditions, operational costs, and driver retention problems could easily become obsolete as fleets move to AI-based systems. Every stakeholder stands to benefit a lot from the efficiency and reliability of this technology because of a reduction in costs, accidents, driver turnover, and other problems which could reflect on the pricing of fleet services. It could also ensure that other road users remain safe.


How AI fleet Management Will Shape the Future of Transportation

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There are many opinions about how Artificial Intelligence (AI) is going to change the world with expectations about its capabilities for now and in the future. AI simply refers to intelligence displayed by machines in contrast to that displayed by humans. Although humans are intelligent, they cannot be programmed to exceed their current capabilities in the same way a machine can. This has led to the creation of smart machines that handle tasks otherwise difficult for humans to handle efficiently.


Cooperation Is The Key Initiative For Advancing AI Technology

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With improvements in artificial intelligence technology, a proliferation of robots are now among us, so it's important to remember that humans and machines inevitably have a lot in common. After all, we designed them to do the same things we do and to be capable of learning, just like us. The visceral drive for humans to automate processes using machines is not new. Humans and machines share a long history of working together to continually make improvements in almost every aspect of our lives. AI is another disruptive technology of our time, and just like its predecessors, it will have a profound impact on our existence.


Looking for an IT job? These hot skills will help

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Pramod, 40, a software engineer with a large IT company, is having a mid-life crisis. Bored of writing hundreds of lines of code every day, he wants to quit the monotonous job and shift to a more challenging role that also gives him a good package. However, he is clueless on the right skill sets he needs to acquire. Pramod is not alone in this predicament. There are thousands of such mid-level software professionals who either want to make a course correction or have been told by their organisation to acquire new skills if they are to remain relevant.


Business Applications for Artificial Intelligence: What to Know in 2019 Harvard Professional Development Harvard DCE

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On one end of the spectrum is fear of job loss spurred by a bot revolution. On the opposite is excitement about the overblown prospects of what people can achieve with machine augmentation. But Dr. Mark Esposito wants to root the conversation in reality. Esposito is the co-founder of Nexus Frontier Tech and instructor of Harvard's Artificial Intelligence in Business: Creating Value with Machine Learning, a two-day intensive program. Rather than thinking about what could be, he says businesses looking to adopt AI should look at what already exists.