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Tom Deutsch
Solution CTO, IBM

Tom is CTO for IBM's Industry Solutions group, focused on emerging business models, disruptive technologies, and lean analytics methodologies. Tom has responsibly for designing and building solutions that span IBM Software Group, Cloud, Research and GBS. Tom has created & launched several data science as a service offerings and authored papers on emerging analytics methodologies that change the art of the possible. In Q1 2015 the programs that Tom invented were expanded to a global IBM initiative.

Prior to this Tom was Program Director on IBM’s Big Data Team. He played a formative role moving NoSQL technology from Research to IBM Software Group. Tom started IBMs BigInsights Hadoop-based product, and worked with 300+ customers on Hadoop, Streaming, Cassandra & related big data technologies identifying architecture fit, business & monetization strategies. Prior to this Tom worked in the Information Management CTO’s office focused on emerging technology and IBM’s innovative Enterprise Mashups and early Cloud offerings. Tom came to IBM through the FileNet acquisition, where he helped spearhead FileNet product initiatives.

Experimentation as a Corporate Strategy for Big Data

Guidelines for a smarter approach to learning about new technologies

October 9, 2012 | by Tom Deutsch, Solution CTO, IBM
Guidelines for a smarter approach to learning about new technologies

Why Static STILL Stinks

September 27, 2012 | by Tom Deutsch, Solution CTO, IBM
As promised, we’re going to revisit a topic I introduced awhile ago in "Why Static Stinks". Based on what I’m seeing recently, static still stinks, so now is a good time to resurface our discussion. Collectively, we’re just not moving fast enough to fix the glaring issues that static–otherwise...

Reinventing Customer Models to Be Relationship-Centric

Why Groupon is not a model for your customer engagements

September 9, 2012 | by Tom Deutsch, Solution CTO, IBM
Why Groupon is not a model for your customer engagements

Big Data: Data Quality’s Best Friend? Part 2

Why we don't see an inherent trade-off between the volume of a data set and the quality of the data maintained within it

August 6, 2012 | by Tom Deutsch, Solution CTO, IBM
Why we don't see an inherent trade-off between the volume of a data set and the quality of the data maintained within it

Big Data: Data Quality’s Best Friend? Part 1

Why we don't see an inherent trade-off between the volume of a data set and the quality of the data maintained within it

August 3, 2012 | by Tom Deutsch, Solution CTO, IBM
Why we don't see an inherent trade-off between the volume of a data set and the quality of the data maintained within it

Selecting your first big data project

July 30, 2012 | by Tom Deutsch, Solution CTO, IBM
In this blog, we will cover how to select, staff and plan your first big data project. Our recommendations are based on many years of experience that we have had working with a wide variety of customers in several industries. We won’t focus on specific technologies. Instead, we will examine the...

Social Media Analytics, ROI and Other Non Sequiturs

July 30, 2012 | by Tom Deutsch, Solution CTO, IBM
Okay, I’ve bitten my tongue for as long as possible, and I need to get this off my chest. Most, and by most I mean at least 85% of the social media big data initiatives I see are ultimately going to under-deliver their expected ROI or eventually be discarded as not useful enough. I was reminded of...

How to Get Social Media Analytics Wrong

Lessons from the front lines

July 5, 2012 | by Tom Deutsch, Solution CTO, IBM
Lessons from the front lines

Why Static Stinks

June 7, 2012 | by Tom Deutsch, Solution CTO, IBM
Imagine if Netflix never updated your movie preferences, or even worse, never asked what you liked in the first place. Imagine if your spam folder never adapted to the changing inbound spam. Or finally, imagine that your Internet radio station presented a fixed playlist that didn’t bother to ask...

Why Log Analytics is a Great—and Awful—Place to Start with Big Data

The pros and cons of learning Hadoop using structured data

May 23, 2012 | by Tom Deutsch, Solution CTO, IBM
The pros and cons of learning Hadoop using structured data