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Digital Innovation and Transformation

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MBA Student Perspectives

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artificial intelligence

BenevolentAI: Revolutionizing drug discovery using Artificial Intelligence

Posted on January 28, 2018 by Saurav Patyal

It takes over $2.5B and 10 years to produce one drug. Artificial Intelligence has the power to halve each of that. Enter, BenevolentAI.

Blippar: The Killer AR App That Never Was

Posted on May 1, 2017 by Kathy Wang

Blippar could have been the ultimate killer app for AR – it was well-conceived, well-received and well-funded. But today, 7 years after its founding, the startup is struggling. What went wrong, and where can it go from here?

Darktrace – Using Machine Learning for Cyber Security.

Posted on April 5, 2017 by AC

DarkTrace is a UK-based start-up that is improving cyber-security through the use of machine learning and artificial intelligence to develop an ‘Enterprise Immune System’

Stitch Fix: Your Ideal Fashions are IN the Computer (yes, that’s a Zoolander joke)

Posted on April 5, 2017 by Christy

Do you ever wonder whether you’ll actually use any of the lessons we’re learning at HBS? Katrina Lake’s usage of data and deployment of machine learning at Stitch Fix, proves that paying attention in class pays off.

Tay: Crowdsourcing a PR Nightmare

Posted on March 18, 2017 by So Many Cranberries

“We are deeply sorry for the unintended offensive and hurtful tweets from Tay, which do not represent who we are or what we stand for, nor how we designed Tay.” [1]

TayTweets with Trolls: Microsoft Research’s Painful Lesson in Conversation Crowdsourcing

Posted on March 17, 2017 by Micah

In March 2016, Microsoft launched Tay, a Twitter bot that could learn from its conversations with others. The experiment quickly unraveled.

Crowdsourcing AI at Drift: Does Analyzing Crowdsourced Information Actually Make Bots Smarter?

Posted on March 12, 2017 by Ellen DaSilva

The proliferation of chatbots over the last two years has made life easier for some people. But are these bots really learning from their crowdsourced data inputs to make the outcome better for all users?

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