Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI's time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes sense to start with the part of the company that drives revenue. Certainly the vendors recognize that, says Alan Lepofsky, an analyst at Constellation Research, who is working on the impact of AI on work.

Computers powered by artificial intelligence are smart enough to threaten a range of jobs, whether computers developing treatment plans for cancer patients or Amazon.com That impact is already being felt. The World Economic Forum expects automation, including AI, to result in the loss of at least 5 million jobs globally by 2020. In the view of Genpact (G) CEO NV "Tiger" Tyagarajan, however, the bigger question is how many jobs such technology will ultimately create. Amazon is opening a new brick-and-mortar store, but without a checkout line.

Becoming more affordable and easier to program, they are widely present in our everyday life. You name the field, the robots are there: agriculture, tourism, e-commerce, medicine… They even help with household chores. With the accelerating speed of robotics development, it appears a very tempting field for investment. Last month, Credit Suisse's Global Equity Research team published a report examining its potential. We have already accepted big robots working in agriculture (e.g. Some of them, such as smartphones or sensors in cars, have already become an integral part of our lives; others, such as robots with tactile sensing, are still on the way.

Summary: Watson is a remarkably flexible and complete AI development platform. To understand how you might build new services for your current employer or imagine your own Watson-based startup, look at these 30 companies that are leading the way. In our recent reviews of historical Watson and the modern Watson of today we concluded that IBM's Watson Group may have the first or at least the current strongest comprehensive AI platform. This is the first time that we know of that all three elements of AI have been brought together in a single user friendly platform: image processing, text and speech processing, and knowledge retrieval. This is not so much a platform for data scientist to use to expand the capabilities of AI as it is a platform for business users (with the aid of data scientists) to exploit the capabilities of modern AI by building new products and services.

A visitor speaks to Baidu's robot Xiaodu at the 2015 Baidu World Conference in Beijing, China, September 8, 2015. How important is artificial intelligence (AI) to Baidu? Gone is the era of PC, and soon will we say goodbye to the era of mobile internet ... We believe that coming is the era of artificial intelligence. Andrew Ng, Baidu's chief scientist, has some experience in this area. During his previous tenure at Google parent Alphabet, he led the Google Brain AI project.

The past few months were full of exciting announcements around two key topics: artificial intelligence and mobile messaging. Both have made significant leaps in progress, and together will make a very exciting year ahead for businesses. This year, Google announced Click-to-Message; Amazon released the Lex bot building toolkit; and mobile messaging platforms like Facebook Messenger and WhatsApp surpassed 1 billion monthly active users. To keep up with the massive growth of these messaging channels companies are scrambling to develop both an AI strategy and a messaging strategy. However, 2017 will show that both strategies are extremely intertwined.

Subscribe to our RSS feed to get the latest realty news. You can get our headlines via email as well, or follow us on Twitter. We'll see autonomous vehicle technology expand its reach. AI systems will be more fully utilized for sensing and decision making in self-driving. They'll also begin to transform the driver's experience inside the car.

Driving your car until it breaks down on the road is never anyone's favorite way to learn the need for routine maintenance. But preventive or scheduled maintenance checks often miss many of the problems that can come up. An Israeli startup has come up with a better idea: Use artificial intelligence to listen for early warning signs that a car might be nearing a breakdown. The service of 3DSignals, a startup based in Kefar Sava, Israel, relies on the artificial intelligence technique known as deep learning to understand the noise patterns of troubled machines and predict problems in advance. The startup has even chatted with companies about using their service to automatically detect problems in future taxi fleets of driverless cars.

For the uninitiated, the Webster dictionary defines artificial intelligence (AI), the word buzzing like a bee of late, as the capability of a machine to imitate intelligent human behaviour. The concept is exactly like what the science fiction movies have portrayed since decades, of a machine that can analyse, think, act accordingly and aid humans (though in a lot of movies they become villainous). In the last half-a-decade, leaps in AI have been made with its application in wide ranging areas. Education is, albeit slowly, coming under the ambit of sectors that will be greatly affected (disrupted, if you will) by AI in near future. AI has actually become a part and parcel of our everyday lives even though the term is not used frequently.

It sounds like a scene from the popular Tom Cruise movie, 'Minority Report,' where an artificially intelligent machine identifies a person who was released from prison will likely commit a crime again. However, this is real life and an MIT professor was the one who developed it. According to the latest crime statistics released by the Federal Bureau of Investigation (FBI), crime in the United States has decreased but it doesn't mean that security will slack off. According to a study, a majority of these crimes are committed by almost the same people. Data has shown that two-thirds of prisoners who have been released commit a crime three years after their release.