Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Great Debate: Data-driven Optimization is the Enemy of Innovation

Moderated by:
Alistair Croll (Solve For Interesting)
Panelists:
Jeremy Edberg (MinOps), Jerry Overton (DXC), Tatsiana Maskalevich (Stitch Fix), Anne Johnson (Credit Suisse)
4:00pm–4:40pm Thursday, 02/19/2015
Business & Industry
Location: LL20 BC
Average rating: ***..
(3.80, 10 ratings)

Ruthless optimization squeezes every ounce of advantage from the current business model. But it takes a leap of faith—not something the numbers tend to encourage—to truly innovate. When we’re informed by data, are we blinded by opportunity? Or does data pave the way for the best innovations, forcing us to take a harder look at bad ideas that will never work out?

In this Oxford Debate, join two teams who’ll try to convince you of their take on the argument. Then we’ll take a vote and declare the victor.

Photo of Alistair Croll

Alistair Croll

Solve For Interesting

Alistair Croll is an entrepreneur with a background in web performance, analytics, cloud computing, and business strategy. In 2001, he cofounded Coradiant (acquired by BMC in 2011) and has since helped launch Rednod, CloudOps, Bitcurrent, Year One Labs, and several other early-stage companies. He works with startups on business acceleration and advises a number of larger companies on innovation and technology. A sought-after public speaker on data-driven innovation and the impact of technology on society, Alistair has founded and run a variety of conferences, including Cloud Connect, Bitnorth, and the International Startup Festival, and is the chair of O’Reilly’s Strata Data Conference. He has written several books on technology and business, including the best-selling Lean Analytics. Alistair tries to mitigate his chronic ADD by writing about far too many things at Solve For Interesting.

Photo of Jeremy Edberg

Jeremy Edberg

MinOps

Jeremy Edberg, the CEO and Founder of MinOps, which makes using the cloud stupid easy. He is an angel investor and advisor for various incubators and startups. Previously, Jeremy was the founding reliability engineer for Netflix. Before that, he ran Ops for Reddit, which at the time had more than five billion pageviews a month. Jeremy’s expertise is in distributed computing, availability, rapid scaling, and cloud computing. He also edited the highly acclaimed AWS for Dummies.

Photo of Jerry Overton

Jerry Overton

DXC

Jerry Overton is a data scientist and distinguished technologist in DXC’s Analytics Group, where he is the principal data scientist for industrial machine learning, a strategic alliance between DXC and Microsoft comprising enterprise-scale applications across six different industries: banking and capital markets, energy and technology, insurance, manufacturing, healthcare, and retail. Jerry is the author of Going Pro in Data Science: What It Takes to Succeed as a Professional Data Scientist (O’Reilly) and teaches the O’Reilly training course Mastering Data Science at Enterprise Scale. In his blog, Doing Data Science, Jerry shares his experience leading open research and transforming organizations using data science.

Photo of Tatsiana Maskalevich

Tatsiana Maskalevich

Stitch Fix

Tatsiana is a Data Science manager at Stitch Fix. Blending both industrial and academic research, Tatsiana is expert at solving hard business problems. She brings a background in both mathematics and statistics, and has deep experience researching and implementing models for predicting user behavior.

Photo of Anne Johnson

Anne Johnson

Credit Suisse

Anne Johnson is the Head of PBWM Products Risk Technology at Credit Suisse. Her SPEAR+ Investment Risk Technology platform has propelled Credit Suisse into a market leadership position of transparently managing and monitoring the financial risk of clients’ assets. Previously she was a management consultant at Bain & Co. and also built trading systems at Morgan Stanley and Barclays Capital. She holds an MBA from MIT.