Bringing data enthusiasts together to foster the exchange of ideas and the intellectual growth of the data community. Our meetups cover a wide range of data-centric topics, from technical workshops to presentations of real use cases.
All types of data professionals, scientists, engineers, analysts, and students welcome!
Dataiku develops an Advanced Analytics software solution that enables companies to build and deliver their own data products more efficiently. Its collaborative, team-based user interface works for all profiles, from data scientists to beginner analysts, and the unified framework allows for both development and deployment of data projects. Learn more at www.dataiku.com (http://www.dataiku.com/)
Register here: https://egg.dataiku.com/janelle-shane/
AI is making headlines and disrupting entire industries. But what IS artificial intelligence, and what is it good at? At her AI humour blog, AiWeirdness.com, Shane watches machine learning algorithms struggle to deal with the complexities of the human world. From AIs that struggles to invent plausible paint colours, to AIs that struggles to recognise which pictures don’t actually contain giraffes or sheep, the funny failures of AI tell us a lot about their real-world shortcomings as well. Shane talks about the kinds of problems where AI will succeed, fail, or succeed at solving the wrong problem entirely.
About the speaker:
Janelle Shane’s AI humor blog, AIweirdness.com, looks at the strange side of artificial intelligence. She has been featured in the New York Times, The Atlantic, WIRED, Popular Science, All Things Considered, and Slate.
In 2019 she was named one of Fast Company’s 100 most creative people in business. Her 2019 TED talk is a funny and insightful look at the nature of machine learning algorithms.
Her book You Look Like a Thing and I Love You: How AI Works and Why It’s Making the World a Weirder Place uses cartoons and humorous pop-culture experiments to look inside the minds of the algorithms that run our world, making artificial intelligence and machine learning accessible and entertaining.
She received her BS in Electrical Engineering from Michigan State University, her MPhil in Physics from the University of St. Andrews, and her PhD from the University of California San Diego.