In part 1 we looked at using linear regression, with the aid of a spreadsheet, to see if we could predict within a reasonable tolerance predict what Darcey Bussell's scoring would be based on Craig Revel Horwood's score. No big deal, it worked quite well, it took less thank five minutes and didn't interfere with me making a cup of tea. Linear Regression is all well and good but this is 2016, this is the year where every Northern Ireland company decides it's going to do artificial intelligence and machine learning with hardly any data…. So, we're going to upgrade the Darcey Coefficient and go all Techcrunch/Google/DeepMind on it, Darcey's predictions are now going to be an Artificial Neural Network! They're good but held with a small amount of skepticism.

Forget everything you know about Microsoft's Tay chatbot. It was a disaster, it didn't work, the researchers behind it have likely all been fired or reassigned. In truth, it was a test of the Microsoft natural language processing algorithms, and it didn't pass the test. Plus, Tay was never intended as something that proved Microsoft's prowess with A.I. It was a mere consumer test, a minimal entry in their grand A.I. scheme.

After years of trying to wrap our heads around "big data," machine learning may now be the heir apparent to big data in the world of privacy buzzwords. Wednesday's report repeatedly notes that big data is the enabler of artificial intelligence and that data provides the "raw material" for new algorithmic developments and approaches to machine learning. Of course, machine learning is only a subset of what constitutes AI, which is also distinct from automation, deep learning, and robotics. Despite the mess of terminology, it is clear that industry is racing to invest in the whole bucket of technologies. If the phenomenon of big data encouraged nearly every company to view itself as a data company, fueling the privacy profession, AI looks to have a similar trajectory for influencing how organizations do business.

Both infographics in one download – a part of the'Where Are the Opportunities in Artificial Intelligence?' series created in collaboration with Tractica, exclusively for the AI for Enterprise meeting in London.

The world's oldest news gathering organization is getting a little help from a young tech startup to bring to life facts and figures for readers. The Associated Press and Graphiq, which specializes in using artificial intelligence to rapidly create interactive data-driven infographics, announced a new partnership Tuesday. Through the AP, Graphiq will distribute its library of more than 10 billion interactive charts and graphs (the company calls them "visualizations") to the wire service's thousands of news clients around the globe, the two companies told Inc. The partnership, whose financials were not disclosed, will make it easier for the AP to provide data infographics for more of its stories while exposing Graphiq to a worldwide user audience. "Today we're reaching hundreds of millions of readers a month, but the AP reaches half the world's population every day," Alex Rosenberg, Graphiq vice president, told Inc. Rosenberg noted that Graphiq will embed some of its staffers in AP newsrooms to be readily available throughout the news outlets' reporting process.

In a crowded media industry, where anyone can create a website and deliver content to a large amount of readers, relevance has become more important for publishers than ever before. Publishers must deliver the right content, to the right readers, at the right time, and in the manner that they want to consume it. While this may seem like a tall order, artificial intelligence solutions are making it easier for publishers to deliver content tailored to individual readers. "We're talking about building AI that helps engage more meaningful interactions," said Boomtrain CEO and co-founder Nick Edwards during a recent webinar. "It can connect your readers to the most relevant and engaging content."

In this post, I'm going to share a new way to get a diagnosis of who you are as a brand persona using a highly-objective artificial intelligence named Watson. Read on to learn more about what Watson can do for you!

Watson, can you grow into a multibillion-dollar business and become the engine of IBM's resurgence? IBM is betting its future that the answer is yes. Its campaign to commercialize Watson, the company's version of artificial intelligence technology, stands out, even during the current A.I. frenzy in the tech industry. IBM has invested billions of dollars in its Watson business unit, created at the start of 2014, which now employs an estimated 10,000 workers. Its big-ticket marketing push includes clever television ads that feature Watson trading quips with famous people like Serena Williams and Bob Dylan. And Watson, after a slow start, has shown its mettle by assisting in daunting tasks like diagnosing cancer.

It can teach itself, The Next Web reported (17 Oct 2016): "In a significant step forward for artificial intelligence, Alphabet's hybrid system -- called a Differential Neural Computer (DNC) -- uses the existing data storage capacity of conventional computers while pairing it with smart AI and a neural net capable of quickly parsing it." The AI also knows how to optimise its memory to accelerate future searching-learning. The Next Web added: "Instead of having to learn every possible outcome to find a solution, DeepMind can derive an answer from prior experience, unearthing the answer from its internal memory rather than from outside conditioning and programming." In other AI news the British Socialist newspaper the Morning Star commented on the #Singularity and AI, regarding concern about powerful multinationals shaping AI (17 Oct 2016): "Technologies shaping our world and determining the sustainability of human civilisation are commissioned by wealthy corporations. So uploaded human intelligence, machine learning and systems designed without human agency -- and perhaps without human values -- are ideas we all need to understand and influence."

Egged on by Samsung's recent acquisition of the team behind Siri, the company has chosen Ruslan Salakhutdinov, a formidable computer science professor from the esteemed Carnegie Mellon University, to be the director of artificial intelligence research at Apple. Excited about joining Apple as a director of AI research in addition to my work at CMU. Apply to work with my teamhttps://t.co/U2hQl2GdhA He may continue to work on Carnegie for research and tinker with Macs and iPhones simultaneously. It remains unspecified what the job description exactly is for someone helming Apple's AI research front, but as per Recode's observations, it'll most likely study the context behind questions that users ask Apple's voice-activated virtual assistant Siri. The professor's latest research that dabbles with contextual derivatives behind a user's' voice input supports this.