You are looking for that next big bet. Artificial Intelligence (AI) seems to be the hottest thing in town. You're also aware that healthcare is ripe for transformation through digital innovation. That is why you made time to be a judge at that pitch fest which has just kicked off. Ten seconds into the first pitch, you have heard the terms "AI," "data" and "healthcare."

An "elevator pitch" is a brief, persuasive speech that an experience seller can use to attain the attention of a prospective client. Unfortunately, when selling complex enterprise products and solutions, there is no one pitch that works for all customers. To craft a good pitch, a seller must study a large amount of documentation, including product descriptions, client references, and use cases. Leveraging experience developed over the years, sellers then determine which marketing message will work best with a client. The goal of our research is to automatically create knowledge snippets from a large set of enterprise documents that can be used in elevator pitches. We refer to these snippets of text as points of view (POVs). Our method is based on natural language understanding (NLU), clustering and ranking techniques where the most relevant and informative content are selected as POVs for a given product. In addition, our approach is tailored to create POVs for a given aspect of the product, like the business challenges or the benefits of deploying the product.

Robert Erdmann, a senior scientist working for the Rijksmuseum, cannot help but smile when I ask him to explain -- in as much detail as possible -- how exactly he used artificial intelligence to recreate long-lost portions of Rembrandt van Rijn's most famous painting, The Night Watch (1642). "Most people just want the elevator pitch," he tells me over Zoom. The Night Watch is a mammoth of a painting, and it used to be even bigger. In 1715, it came into the possession of the bureaucrats in charge of Amsterdam's Town Hall. In order to fit it on their wall, they sliced off all four outer edges of Rembrandt's priceless masterpiece, inadvertently creating the compromised version we know today.

A job search is just a numbers game with plenty of conversion rates. Today, we'll look at how you can improve your rate of Applications Interviews by writing a winning data scientist resume. We've compiled our favorite tips for writing the perfect data scientist CV, and they're broken into 3 sections: Resumes are often misused as a "credential dump," a hodge-podge of skills and experiences. Instead, your resume should tell a persuasive story with YOU as the protagonist. Each section should work in harmony and each bullet point should add colorful details.

"So, what should we be doing about Artificial Intelligence" says the CEO as you share an elevator ride to the fifth floor. A reasonable enough question, given that according to Forbes, 53% of marketers plan to adopt artificial intelligence in the next two years[1]. But it would be understandable if at this point a short journey became a very long and awkward one as you "umm-ed" and "ahh-ed" through the unknowns, uncertainties and unfathomable complexities of a topic you know you, as a marketer, need a point of view on, but haven't yet got around to grasping. Fortunately, it's more important to have a coherent view on AI than for that view to be right, as no-one can know for sure what the'correct' view is – the topic is too fresh, too dynamic and with too many unknowns for a single, authoritative interpretation to exist. So how do you form that coherent view?

Before the giant E3 video game exhibition takes place every year, it is proceeded by a series of vast press events, where publishers hope to snag just a little of the world's attention with their latest mega releases. Filling huge venues and live-streamed to a global audience of millions, these one-hour hype-fests can make all the difference between blockbusting success and ignoble failure. Here, then, are our 17 favourite announcements, culled from all the pre-E3 shows. We've stuck to games that were either revealed for the first time on stage, or were finally confirmed after months of gossip, leaks and rumours. These are the titles we want to discover more about at the show, and over the months to come.