Chatbots have not seen the success in non-spamming application that we had once hoped. Microsoft's Tay experiment was a massive failure thanks to human interference. Microsoft is trying again with Zo, focusing on the future of chatbots being your best friend. That future is fluid interaction with a programmable and learning artificial intelligence without the assistance of humans. Conversely, In the case of Sensay, the future of bots is one that is just as human as a bot could possibly be.

Major AI researchers and textbooks define the field as "the study and design of intelligent agents", where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as "The science and engineering of making intelligent machines". AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues.

President-elect Trump has met with leaders in technology in an effort to open lines of communication and discuss business after months of two-way criticism. It's no secret that Silicon Valley was largely in support of Hillary Clinton, who had aligned herself with the technology community, while over the last few years Mr. Trump has criticized Apple's iPhones, accused Facebook, Google, and Twitter of burying negative news about Democrats, and picked a fight with Jeff Bezos on Twitter insinuating his purchase of the Washington Post was for political influence to help Amazon's business. While this meeting simply serves to smooth over relations with the technology community, there is a longer conversation needed with President-elect Trump, who's presidency sits at a tipping point in technology. In the next four years we will see an explosion of AI technology that further delivers on the promise of driverless cars, intelligent robots, and other societal and job-impacting advancements. The conversation needed is how to, or more precisely, how not to regulate AI.

At CES 2016, Microsoft announced that it is building a platform to enable automobile manufacturers to deliver connected car experiences to customers. Microsoft Connected Vehicle Platform is a set of services that is integrated with Azure, Cortana, Office 365, Power BI, and Skype. In the last couple of years, Microsoft has doubled down its investment in machine learning (ML) and analytics. The company is embedding ML in almost all its products. Powered by Azure, these new set of services such as Azure ML, Microsoft Cognitive Services, Cortana Intelligence Suite takes advantage of the abundant compute and storage resources exposed by the underlying infrastructure.

Amazon Echo is apparently always ready, always listening and always getting smarter. So goes the spiel about the sleek, black, voice-controlled speaker, Amazon's bestselling product over Christmas, with millions now sold worldwide. The problem is that when you have Alexa, the intelligent assistant that powers Amazon Echo, entering millions of homes to do the shopping, answer questions, play music, report the weather and control the thermostat, there are bound to be glitches. And so to Dallas, Texas, where a six-year-old girl made the mistake of asking Alexa: "Can you play dollhouse with me and get me a dollhouse?" Alexa promptly complied by ordering a $170 (£140) KidKraft doll's house and, for reasons known only to the virtual assistant, four pounds of sugar cookies.

If you've stumbled upon this article, you may already be in this position. However, what's more likely is that this is going to become your situation in near future, and learning from someone else's experience is now needed to prepare. While there's a plethora of theory around business applications for data analytics; there is a significant lack of practical, real-life experience to draw on. This is largely due to the fact that adoption of these technologies, for many industries, is new and the results of pilots are just coming to light now. Machine learning technologies are successfully used in predictive and recommendation services.

They never take days off and never strike -- artificial intelligence is set to replace more than 30 human workers at a Japanese insurance firm. The system will be based on IBM's Watson Explorer technology, and will help calculate payouts to Fukoku Mutual Life Insurance policyholders from January 29, the company said in a statement. IBM describes Watson as "cognitive technology that can think like a human". The AI will scan hospital records and medical certificates, and then extract data on injuries, patient medical histories and administered procedures to determine insurance payouts. Fukoku Life said it hoped the AI would increase productivity by 30 per cent, although final payments will still be processed by human staff.

At the risk of calling to mind some of the thousands of books, movies, and television shows centered on the onset of a technological apocalypse, we truly are facing an artificial intelligence (AI) revolution. Competition between major tech companies like Google, Apple, Facebook, and Microsoft, combined with the ever-present exponential patterns of Moore's law, have led us to some amazing breakthroughs in the past several years when it comes to advanced pattern recognition, data analysis, and machine learning. As marketers, we owe it to ourselves (and our audiences) to stay abreast of these advancements, learn what's coming down the pipeline, and start preparing our strategies and outlooks to accommodate those developments. Are we about to enter some kind of marketing apocalypse? But we're in for some serious changes in the years to come, and it's in our best interest to stay ahead of them.

Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou -- are vying for shares of a $200,000 prize purse. The ultimate goal for CMU computer scientists, as it was in the first Brains Vs. AI contest at Rivers Casino in 2015, is to set a new benchmark for artificial intelligence. 'Since the earliest days of AI research, beating top human players has been a powerful measure of progress in the field,' said Tuomas Sandholm, professor of computer science. 'That was achieved with chess in 1997, with Jeopardy! in 2009 and with the board game Go just last year.

HONG KONG: McDonald's Corp has agreed to sell the bulk of its China and Hong Kong business to state-backed conglomerate CITIC Ltd and Carlyle Group LP for up to $2.1 billion (Dh7.71 billion), seeking to expand rapidly without using much of its own capital. Zurich The Swiss National Bank expects a 2016 full-year profit of 24 billion francs (Dh86.68 billion; $23.6 billion), enabling it to shell out money to the federal government and municipalities. Foreign-currency holdings contributed more than 19 billion francs, and valuation gains on its gold holdings added 3.9 billion francs, the central bank said on Monday, citing an initial estimate. Last year's result is set to be the second-best in the Read More ... Tags: Corporate Enterprises Finance Sectors Banks Profits Financial institutions German automaker Volkswagen saw sales jump 16 percent in December for its namesake brand, propelled by a big increase in China, Volkswagen's biggest market. Global sales reported Monday rose to 567,900 from 487,700 despite the damage to the company's reputation from its scandal over cars rigged to cheat on diesel emissions tests.