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."

In the fast-paced world of today, knowledge of global trends is imperative when it comes to success. Whether you're about to give an elevator pitch or sit down with your employees, what's going on in the world should always inform on your strategy, your content, and your tone. Outdated information is not only useless in the startup world, but also detrimental to your overall success. But with all the information flying around the world today, what is the best way to figure out what's relevant and what's outdated? It can take hours to check emails and respond to important messages. But what if a robot could undertake it all.

What better way to create a movie trailer about an artificially enhanced human than to use the reality behind the premise; artificial intelligence (AI). That's just what a partnership between IBM Research and 20th Century Fox recently set out to do, when they used machine learning techniques to produce what they described as the "first ever cognitive movie trailer." You'll have to judge the merits of the result yourself, but what is beyond doubt is this is just one example of the many ways AI and machine learning techniques are already changing the face of the entertainment industry. It's only makes sense that creative industries are leading the pack when it comes to the adoption of and experimentation with AI. Media, entertainment, and advertising are all the on the cutting edge when it comes to the adoption of AI and machine learning.

Given that Sinovation Ventures founder Dr. Kai-Fu Lee has around 50 million followers on Chinese social networks, he has become an oracle when it comes to predicting the future of tech in China. Kai-Fu Lee talked about the most important trends in Chinese startups at TechCrunch Beijing 2016. Sinovation Ventures recently raised the equivalent of $675 million in total across a Chinese and an American fund, and the firm has over 300 companies in its portfolio. "We can invest up to $15 million per company now," Kai-Fu Lee said. And by far, the most important area for future Sinovation Ventures investments will be artificial intelligence.

Artificial intelligence pops up as a buzzword every few years, but it has never moved beyond novelty status. This time, though, it is here to stay, and startups are poised to drive the AI economy forward. Newcomer ROSS Intelligence, for example, has gained law firm clients by developing a fully automated AI "lawyer" capable of supporting the legal research needs of large offices. Developed on IBM's Watson, ROSS is well on its way to becoming a fixture in the legal industry, automating tasks that could take days or weeks for humans to complete. Popular business messaging app Slack -- another startup -- is working on incorporating AI to act as an intelligent personal assistant capable of talking back and answering questions that have been asked before, saving companies time.

Tucked into a courtyard in central Paris, the 35 employees of Snips are hunched over their computers trying to put the finishing touches on a new version of the company's artificial intelligence app for smartphones. The company is packed full of big brains, many of them products of France's leading universities and a culture that is historically strong in mathematics. And they're not afraid to let you know it. Etched into winding wooden staircases that lead to Snips offices are a series of math puzzles that job recruits are asked to solve as they work their way upstairs. Snips' app wants to scan all the data across the apps on your smartphones to deliver insight about you and eventually become a hyper-smart personal assistant. But it promises to take a privacy-friendly approach by keeping all the data on your phone, where it will do the processing, rather than hoovering data up into the cloud.