Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to. For example, when Google DeepMind's AlphaGo program defeated South Korean Master Lee Se-dol in the board game Go earlier this year, the terms AI, machine learning, and deep learning were used in the media to describe how DeepMind won.

Written by C. Raja Mohan Updated: November 8, 2016 12:21 am Media reports say an artificial intelligence (AI) system called MogIA, developed by Sanjiv Rai, an innovator based in Mumbai, has predicted that Donald Trump will win Tuesday's presidential elections in the United States. Unveiled in 2004, the system apparently got it right in the last three presidential elections. It also predicted that Trump and Hillary Clinton will be the nominees of the Republican and Democratic Parties respectively. Rai is quoted as saying that the algorithm got even better as it has "learnt" from the last few rounds. MogIA is named after Mowgli from The Jungle Book.

The world's smartest CRM platform has just taken another big step forward by introducing Artificial Intelligence (AI) with the launch of Salesforce Einstein. Salesforce Einstein is basically AI built into the core of the Salesforce Platform, delivering advanced AI capabilities to sales, service, and marketing by helping to discover insights, predict outcomes, recommend best next steps and automate tasks. By covering these three areas you can anticipate sales opportunities with Sales Cloud Einstein, proactively resolve cases with Service Cloud Einstein and create predictive journeys with Marketing Cloud Einstein. In addition, the AI service covers commerce, community, analytics, IoT and customers can embed intelligence to create AI-powered apps with App Cloud Einstein. The new platform upgrade service wraps around your existing Salesforce and learns from all your data, including CRM data, email, calendar, social, ERP, and IoT, and then delivers predictions and recommendations in context of what you're trying to do.

Inarguably, technology has shaped the current state of procurement. At the Global Procurement Tech Summit, it was evident how true this has become. IBM's Vice President of Global Procurement Dan Carrell gave a presentation putting the topic into perspective. He shed light on how a massive corporation deals with procurement and even how IBM's Watson is helping their procurement processes. Procurement to go through Digital Transformation… like other industries!

Berg Health's cofounder and chief executive Niven R. Narain is used to being laughed out of rooms, given his interest in bringing artificial intelligence into the drug development process. But things have changed, he says, thanks to growing excitement around the practice known as precision medicine. This afternoon, at the Fast Company Innovation Festival, Narain spoke on a panel on the topic of bringing advanced technologies to medicine with industry experts from Mount Sinai and Columbia University. Precision medicine is an all-encompassing term, which broadly refers to the idea of treating patients in a more personalized, targeted way rather than taking a one-size-fits-all approach to disease. The White House announced a $215 million investment in precision medicine earlier this year; if nothing else, it generated a lot of hype.

One of the most difficult challenges reporting and analytics face in public relations measurement is sentiment analysis. Machines attempt textual analysis of sentiment all the time; more often than not, it goes horribly wrong. How does it go wrong? Machines are incapable of understanding context. Machines are typically programmed to look for certain keywords as proxies for sentiment.

SAP wants businesses struggling to keep up with the pace of innovation in its HANA in-memory database to relax as it readies a new version, to be known as HANA 2. Since introducing HANA in 2010, SAP has been releasing updates twice a year, providing customers with new capabilities but also pushing them to keep their software current to benefit from continuing support. The new version gives businesses two reasons to relax, according to Marie Goodell, vice president of product marketing at SAP. HANA 2 is designed to simplify things for the IT department, reducing the effort it takes to keep the lights on so that businesses can spend more time working on new, next-generation applications that take advantage of new types of data, she said. Even if they choose to keep upgrading, that should involve less work going forward. But for businesses that just want to get off the update treadmill, SAP will provide long-term support through May 2019 for the version released back in May, HANA Support Package Stack (SPS) 12, she said. When the time comes to upgrade, apps that run on SPS 12 should run on HANA 2 with no interruption, and companies that do choose to upgrade can look forward to a host of new features, Goodell said.

F# is not a replacement, but a great complement for C#. Currently F# is used in many financial applications. Let's see how we can predict future stock prices with power of F#, C#, and Azure Machine Learning. In this session I will show you how to build F# Backend for estimating future stock prices with Azure Machine Learning, how to create Web API powered by F# with Suave Framework, and how to consume it from your ASP.NET Core App with Front-End powered by Aurelia and D3.js.

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Last month, President Barack Obama sat down with WIRED's Editor-in-Chief and MIT Media Lab director Joi Ito to discuss the government's role in the ongoing artificial intelligence revolution. While President Obama is sure that Washington has a critical part to play -- particularly in regulating AI to protect the American labor force -- it is equally important that its involvement doesn't stymie the development and implementation of the technology, he says. When it comes to regulating AI, the president believes that government involvement should be limited, especially during its earlier stages of research and development. "The way I've been thinking about the regulatory structure as AI emerges is that, early in a technology, a thousand flowers should bloom," Obama tells WIRED. "The government should add a relatively light touch, investing heavily in research and making sure there's a conversation between basic research and applied research."