A few years after the company's launch, some fundraising and proof-of-concept pilots with insurers, Lumiata launched its Risk Matrix platform aimed at health plans and the health systems they work with to assess the future health of individuals with or at risk for chronic diseases. The product enlists artificial intelligence to help physicians make better use of the data they are inundated with and meet some of the goals of value-based care. The health IT business stated in a news release that the product is designed to offer predictions for 20 chronic conditions, such as diabetes, chronic kidney disease and congestive heart failure. The idea is to help insurers allocate resources more effectively. For providers it could mean more efficient patient triage and discharge, and better prescriptive information around symptoms, medications, risk factors and diagnoses.

Economist Milton Friedman was in favor of replacing the Federal Reserve with a computer. Maybe he was on to something. To the contrary, as a monetarist he wanted the Fed to increase the stock of money at a constant, 3%-5% rate a year, a task he thought a computer quite capable of performing. The Fed's lagged response to the 2008 financial crisis and an anemic recovery since then have given a new sense of urgency to the quest for a monetary rule or rules. For economists, the main benefit of a rule is to make monetary policy transparent and predictable. Everyone knows where the ship is headed and can plan accordingly.

Summary: What are the earliest seeds of artificial intelligence? To whom do we owe thanks for starting us down this path? Many modern researchers to be sure, but the earliest is Leonardo Torres of Spain, in about 1914. As data scientists it's very cool to be at the forefront in this age of techno-optimism. Since the awakening of the digital age calculated by economic researchers to have begun about 1994, a wave of increased productivity has been credited to computer-related innovations resulting in higher standards of living for many if not most.

Pete Skomoroch and Jon Bruner will be hosting O'Reilly Bot Day October 19, 2016, in San Francisco. Subscribe to the O'Reilly Bots Podcast to learn about advances in conversational user interfaces, artificial intelligence, and messaging that are revolutionizing the way we interact with software. Find us on Stitcher, iTunes, SoundCloud and RSS. In episode five of the O'Reilly Bots podcast, Pete Skomoroch and I speak with Joshua Browder, the 19-year old founder and CEO of DoNotPay, a series of bots that help people with legal issues, including challenging parking tickets, challenging bank charges, and claiming government assistance for homelessness. Dubbed "the world's first robot lawyer," his bots have attracted 260,000 users and provided 175,000 successful parking-ticket appeals.

The role of technology-fueled algorithms in shaping our society, and how to use them responsibly, is one of the topics I'll be exploring at the Next:Economy Summit in San Francisco, October 10-11. Some years ago, John Mattison, the chief medical information officer of Kaiser Permanente, the large integrated health provider, said to me, "The great question of the 21st century is going to be'Whose black box do you trust?'" Mattison was talking about the growing importance of algorithms in medicine, but his point, more broadly, was that we increasingly place our trust in systems whose methods for making decisions we do not understand. A lot of attention has been paid to the role of algorithms in shaping the experience of consumers. Much less attention has been paid to the role of algorithms in shaping the incentives for business decision-making. For example, there has been hand-wringing for years about how algorithms shape the news we see from Google or Facebook.

When you add something to your cart in Amazon and see a list of other recommended products that you might also like--that's an example of machine learning. This article explains the various types of machine learning and provides additional resources to get you started. In this video, successful Twitch* streamers share their tips and tricks to help you build a presence as a game developer on this channel. Learn about the IoT ecosystem, which consists of a broad set of technologies with a common thread of manageability and security. New non-uniform memory access (NUMA) technologies are spreading across processors in the modern computing world.

Artificial intelligence guru Robert Dale explains the benefits and shortcomings of natural language generation technology and advocates for disclosure of use of the software. Natural language generation, a field in artificial intelligence which automatically turns facts and statistics into coherent English and other languages, offers important advantages for finance and accounting, according to Robert Dale, a longtime expert in the technology. He is also co-author, with Arria's chief scientist Ehud Reiter, of the textbook, Building Natural Language Generation Systems, first published in 2000 and then again in 2006. We can build pretty sophisticated systems that can produce pretty sophisticated narratives, but we still cannot do that with quite the nuance of a human author.

Artificial intelligence guru Robert Dale explains the benefits and shortcomings of natural language generation technology and advocates for disclosure of use of the software. Natural language generation, a field in artificial intelligence which automatically turns facts and statistics into coherent English and other languages, offers important advantages for finance and accounting, according to Robert Dale, a longtime expert in the technology. Since 2012, Dale has been CTO and chief strategy scientist at Arria NLG, based in London, and one of the first companies to offer automatic text generation. He is also co-author, with Arria's chief scientist Ehud Reiter, of the textbook, Building Natural Language Generation Systems, first published in 2000 and then again in 2006. In an interview with SearchFinancialApplications, Dale discussed NLG, its benefits for the office of the CFO and the future of artificial intelligence (AI).

As a longtime health care professional, it is hard to imagine a more exciting time in health care. The innovation and pace of change is breathtaking. Before our eyes, our health care system is being deconstructed. As it is reconstructed, aided by technology, the focus of care is shifting from the provider to the person. We have seen this evolution in the financial services sector, the transportation sector, etc. Technology has finally come to health care.