CB Insights

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Biotechs Strike Partnerships to Spread Their Costs, Risks

Robert Weisman | The Boston Globe | January 15, 2012

Adimab, of Lebanon, N.H., was one of hundreds of smaller biotechnology and medical device firms seeking to find research partners, strike collaborations, raise money, buy other companies, or be acquired themselves in the nonstop deal making that surrounded the annual conference. Read More »

Open Source is Helping to Drive the Artificial Intelligence Renaissance

Sam Dean | Ostatic Blog | January 4, 2017

We're only a few days into 2017, and it's already clear that one of the biggest tech categories of this year will be artificial intelligence. The good news is that open source AI tools are proliferating and making it easy for organizations to leverage them. AI is also driving acquisitions. As Computerworld is reporting, in the past year, at least 20 artificial intelligence companies have been acquired, according to CB Insights, a market analysis firm. MIT Technology Review is out with its five big predictions for AI this year. Here is a bit on what they expect, and some of the open source AI tools that you should know about...

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To Err Is Human, To Diagnose Artificial Intelligence is...?

A new study found that physicians have a surprisingly poor knowledge of the benefits and harms of common medical treatments.  Almost 80% overestimated the benefits, and two-thirds overestimated the harms.  And, as Aaron Carroll pointed out, it's not just that they were off, but "it's how off they often were." Anyone out there who still doesn't think artificial intelligence (AI) is needed in health care? The authors noted that previous studies have found that patients often overestimate benefits as well, but tended to minimize potential harms.  Not only do physicians overestimate harm, they "underestimate how often most treatments have no effects on patients -- either harmful or beneficial"...

Your Garbage Data Is A Gold Mine

Christina Farr and Mark Sullivan | Fast Company | August 22, 2016

One of the lesser understood aspects of what you can do with massive stockpiles of data is the ability to use data that would traditionally have been overlooked or in some cases even considered rubbish. This whole new category of data is known as "exhaust" data—data generated as a by-product of some other process...

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