Shelcy Joseph is recent graduate from the City University of New York and when she describes what she learned from her recent job hunt, she says she found out that it's hard to get hiring manager's attention, but that "once they like you, they'll give you lots of attention." What's new is who–or what–determines which candidate has high potential. Increasingly, it is software built on machine learning and early-stage artificial intelligence technology that determines the desirability of a candidate. That's why, for the first time, we've shifted the focus of one of the largest career management MOOCs from the relationship-centered job search to the data-optimized job search. Machine Learning-driven Software will Probably Make Make Your Next Career Match In early 2016, LinkedIn (now owned by Microsoft) acquired Connectifier, a machine learning platform for recruiters, for around 100m.

He's a lightning-fast learner, he speaks eight languages and he's considered an expert in multiple fields. He's got an exemplary work ethic, is a speed reader and finds insights no one else can. On a personal note, he's a mean chef and even offers good dating advice. Named after IBM's first CEO, Watson was born back in 2007 as part of an effort by IBM Research to develop a question-answering system that could compete on the American quiz show "Jeopardy." Since trouncing its human opponents on the show in 2011, it has expanded considerably.

Some of these students created videos of their work, a few of which I share below. A more formal description of the course is below the videos. Many applications of machine learning involve interactions with humans. Humans may provide input to a learning algorithm, including input in the form of labels, demonstrations, corrections, rankings, or evaluations. And they could give such input while observing the algorithm's outputs, potentially in the form of feedback, predictions, or demonstrations.

The artificial intelligence market is growing rapidly, and companies are now looking to invest in technologies that can help them gain a competitive edge in business. What are the latest breakthroughs in machine intelligence research and how will their application impact the future of business and society? Machine Intelligence is the umbrella term for the growing ecosystem of companies working in the areas of artificial intelligence, deep learning, machine learning and robotics fields. The explosion of this rapidly advancing market has caught the attention of press and an increasing number of large-scale investments, and despite the hype there are valuable applications of the technology which can be used to help us to solve real challenges in business and society. With only one month to go, we're highlighting the 10 not to be missed topics at the upcoming Machine Intelligence Summit, taking place in New York on 2-3 November.

Canadian legal AI company Kira Systems has announced deals with two more law firms following the news this week it had forged the first European law firm deal for an AI-driven cognitive system. Kira's AI software will also now be used by US firm, Fenwick & West, and Canada's Osler. The two new clients build on what would appear to be a first for the European legal market, in the shape of McCann FitzGerald adopting Kira's AI, making it the first non-UK European law firm to adopt a cognitive engine AI system. Fenwick is based in Mountain View, California and has a strong pedigree in advising technology companies. Ralph Pais, technology transactions partner, said of the deal: '[We] have invested heavily in tools and processes that make our M&A practice as fast and efficient as possible.

"We believe that modern technology is going to be a major force in urbanization projects and can improve the overall quality of life for the citizen. By using a holistic approach where we control all aspects of the development, we can improve the way people live, the way people learn, and the way people socialize," said Minh Le, a former managing director with Accenture and the current managing partner of 22 Capital Partners. "What we're looking to do is build the next great tech real estate company using the 22 CityLink Platform." Instead of lumping technology into vertical applications like smart retail, intelligent buildings, connected health, etc., 22 CityLink breaks up the smart city into layers and pillars and takes a horizontal approach, looking at the total consumer experience across all aspects of the smart city. "By separating bandwidth, connectivity, applications, data and intelligence into layers, 22 CityLink is able to create a foundation for sustainable development and constant improvement," said Dave Ladouceur, CEO of Denver-based software company Neon Mobile and strategic advisor for 22 CityLink.

It seems as if everyone in IT is talking about chatbots in some form or another, Facebook, Google, and Microsoft to name a few. All this excitement makes chatbots look like a new innovation just conceived in Silicon Valley, but the technology has been around for more than half a century. And if PullString has its way, it will be the go to platform individuals, small businesses and enterprises will use to create chatbots. According to a Time Magazine report, Massachusetts Institute of Technology (MIT) professor Joseph Weizenbaum created a bot called ELIZA in the 1960's. Apparently, ELIZA was programmed to say psychotherapy phrases such as "tell me more", and hold simple conversations with people.

While Salesforce Einstein will be a powerful tool for B2C marketers and sales acceleration, according to Doug Bewsher, CEO of Leadspace and former CMO of Salesforce, "B2B marketers need a complete solution that works across multiple channels, in their existing marketing stack." Leadspace's more than 120 customers, including seven of the world's 10 largest enterprise software companies, get that today. "When marketers talk about artificial intelligence for B2B, they usually mean the ability to automate the process of finding, scoring and segmenting the best leads to reach the right decision makers," said Jason Seeba, Head of Marketing for BloomReach. "That's exactly what we've been doing at BloomReach for three years with Leadspace." Leadspace also provides a key element for AI success lacking in other solutions: on-demand data, updated in real time.

Any good digital marketer will tell you - it is vital to constantly be up to date with the new trends, and always stay one step ahead of the game. Which is why I would like to tell you in this article about one of the latest trends that I find most fascinating: the appearance of artificial intelligence in marketing.

The Partnership on AI (inventive name, it is not) has brought together Amazon, Google, Facebook, IBM, Microsoft, and others to debate best practices and host A.I.-related events. The Partnership on AI isn't the first high-profile collaboration among tech luminaries to tackle the heavy questions surrounding artificial intelligence and machine learning. Earlier this year, Tesla CEO Elon Musk joined with venture capitalist Peter Thiel and others to launch OpenAI, a non-profit "artificial intelligence research company" devoted to developing A.I. that's friendly to humanity. While both OpenAI and the Partnership on AI are focused on promoting ethical A.I. research, as well as advancing public understanding of the potential (and pitfalls) of machine learning, OpenAI has pushed ahead in offering materials and toolkits for researchers. The OpenAI Gym, for example, is a platform for building reinforcement learning (RL) algorithms, a vital aspect of artificial-intelligence development.