Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Mick Hollison

Mick Hollison
Chief Marketing Officer, Cloudera

Mick leads Cloudera’s worldwide marketing efforts, including advertising, brand, communications, demand, partner, solutions, and web. Mick has had a successful 25-year career in enterprise and cloud software. Previously, he was CMO at sales acceleration and machine learning company InsideSales.com, helping the company pioneer a shift to data-driven marketing and sales that has served as a model for organizations around the globe; served as global vice president of marketing and strategy at Citrix, where he led the company’s push into the high-growth desktop virtualization market; managed executive marketing at Microsoft; and held numerous leadership positions at IBM Software. Mick is an advisory board member for InsideSales and a contributing author on Inc.com. He’s also an accomplished public speaker who has shared his insightful messages about the business impact of technology with audiences around the world. Mick holds a BS in management from the Georgia Institute of Technolgy.

Sessions

9:05–9:20 Wednesday, 23 May 2018
Charting a data journey to the cloud
Location: Auditorium
Mick Hollison (Cloudera), Sven Loeffler (Deutsche Telekom), Robert Neumann (Ultra Tendency)
Average rating: **...
(2.65, 20 ratings)
What happens when you combine near-limitless data with on-demand access to powerful analytics and compute? For Deutsche Telekom, the results have been transformative. Mick Hollison, Sven Löffler, and Robert Neumann explain how Deutsche Telekom is harnessing machine learning and analytics in the cloud to build Europe’s largest and most powerful IoT data marketplace. Read more.
11:15–11:55 Thursday, 24 May 2018
Executive Briefing: Machine learning—Why you need it, why it's hard, and what to do about it
Executive Briefing, Strata Business Summit
 Location: Capital Suite 17
Mick Hollison (Cloudera)
Average rating: **...
(2.00, 1 rating)
Mick Hollison shares examples of real-world machine learning applications, explores a variety of challenges in putting these capabilities into production—the speed with with technology is moving, cloud versus in-data-center consumption, security and regulatory compliance, and skills and agility in getting data and answers into the right hands—and outlines proven ways to meet them. Read more.