IBM says machine learning necessary to process vast quantities of data produced by sensors. Artificial intelligence and machine learning will be an essential part of IoT systems as organisations struggle to make sense of the enormous amounts of data produced by the Internet of Things. In a keynote speech at the IFA trade show in Berlin, Germany, Harriet Green, global head of IBM Watson IoT said that "millions of sensors are giving appliances and devices eyes and ears, increasing their inbuilt intelligence and enabling them to interact with us better." "The challenge is that over next few years, the Internet of Things will become the biggest source of data on the planet," she said. "That's where IBM's Watson cognitive computing system comes in. Watson uses machine learning and other techniques to understand this data and turn it into insight, which can help automate tasks, enable manufacturers to design better products, innovate new services and enhance our overall quality of life – especially in the home. And with cognitive technologies, interactions with'things' through natural language and voice commands will dramatically improve."

There's a spectrum of ways to innovate in healthcare. On one end is simple stuff, like making sure things are clean and germ-free. On the other end is exotic stuff, like using AI: Artificial Intelligence and Cognitive Computing. Obvious questions: (1) where is the money going?

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city – in areas as diverse as transportation, health care and education - and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies. Titled "Artificial Intelligence and Life in 2030," this year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines. "We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," said Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared." The new report traces its roots to a 2009 study that brought AI scientists together in a process of introspection that became ongoing in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford.

Attracting the best talent is the ultimate motive for recruiting professionals. In discussion with Mr. Adhiraj, Vice President (HR), ITC, we at CareerBuilder were acquainted with some innovative thoughts on how technology and recruiting would take place in 2015. "As technology continues to develop, can we assume that businesses will still be using recruiters 10 years from now? There are grounds for doubt, but it seems on the contrary that recruiters will have a highly strategic role to play in attracting and motivating the best talents for the projects, management and operations of the organizations they serve. One thing is certain, however: the digital transformation that began in 1995 with the advent of the Internet compels us to rethink everything.

This story was delivered to BI Intelligence "Fintech Briefing" subscribers. To learn more and subscribe, please click here. Chatbots are software programs that use messaging to carry out simple tasks. Most can interpret and respond to plain text and voice questions with contextual and actionable information. We recently outlined what banks should consider before launching such services -- including concerns and opportunities.

Berlin - 03 Sep 2016: at IFA Berlin – one of the world's leading trade shows for consumer electronics – IBM (NYSE: IBM) was joined by some of the biggest names in the industry to highlight how Watson IoT technologies are poised to drive a new wave of innovation in the home and play a key role in one of the biggest technological transformations in the history of the world. According to Harriet Green, Global Head of IBM Watson IoT: "millions of sensors are giving appliances and devices eyes and ears, increasing their inbuilt intelligence and enabling them to interact with us better." "The challenge is that over next few years, the Internet of Things will become the biggest source of data on the planet. That's where IBM's Watson cognitive computing system comes in. Watson uses machine learning and other techniques to understand this data and turn it into insight, which can help automate tasks, enable manufacturers to design better products, innovate new services and enhance our overall quality of life – especially in the home. And with cognitive technologies, interactions with'things' through natural language and voice commands will dramatically improve," added Green during her keynote at IFA. Examples of companies tapping IBM's Watson IoT platform include: Whirlpool is using Watson technologies to help deliver superior customer service and enhance people's lives at home by enabling its home appliances to connect with and interact with one another and their users.

Our world has been revolutionized by Artificial Intelligence. A subject hotly glorified by popular sci-fi movies, AI has now penetrated various spheres of our life. It is widely used in applications such as aerospace, bio-informatics, business intelligence, financial advisory systems, emergency response, homeland security, logistics and supply chain. In recent years, we have witnessed a rebirth of AI through the use of cloud, with technology firms such as Google leading the way in showing the power of data-driven computing. Artificial intelligence systems are extensively used by researchers at technology firms, universities and government labs.

There's an old adage that goes, necessity is the mother of invention. This is certainly true in health care where market forces are spurring new innovations in biopharma. Recently, Deloitte published an analysis of some of the boldest breakthroughs likely to impact health care across the spectrum. In the Deloitte Center for Health Solutions' Top 10 health care innovations: Achieving more for less report, we surveyed leaders across the health care system on the innovations they believe will be transformative over the next decade. We define innovation as those activities or technologies that break performance constraints to attain a desired outcome in a way that genuinely pushes the envelope of change.

Some humans just know when and how to offer a word of emotional support. Now computers are learning too, with the creation of a new algorithm that aims to deliver the right words at the right time. "There's a lot of need for emotional support at the moment," says Judith Masthoff at the University of Aberdeen, UK, who is designing the system. "We have increased rates of mental health issues, and this has led to increased rates of informal care." Trained professionals are only available for the most extreme cases, so Masthoff suggests that people could get instant support from apps instead.

A few years ago, a young man named Kyle Behm took a leave from his studies at Vanderbilt University in Nashville, Tennessee. He was suffering from bipolar disorder and needed time to get treatment. A year and a half later, Kyle was healthy enough to return to his studies at a different university. Around that time, he learned from a friend about a part-time job. It was just a minimum-wage job at a Kroger supermarket, but it seemed like a sure thing. His friend, who was leaving the job, could vouch for him. For a high-achieving student like Kyle, the application looked like a formality. But Kyle didn't get called in for an interview. When he inquired, his friend explained to him that he had been "red-lighted" by the personality test he'd taken when he applied for the job. The test was part of an employee selection program developed by Kronos, a workforce management company based outside Boston.