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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.

Putting Big Data Myths to Rest

Avoid giving credence to these misconceptions <br>when making decisions about big data

August 23, 2013 | by Tom Deutsch, Solution CTO, IBM
Avoid giving credence to these misconceptions when making decisions about big data

Real Time Versus Customer Time

For big data, how fast is fast enough?

August 16, 2013 | by Tom Deutsch, Solution CTO, IBM
For big data, how fast is fast enough?

Ten Years Later, Does IT Matter?

Taking a look back on Nicholas Carr’s seminal article from 2003

June 14, 2013 | by Tom Deutsch, Solution CTO, IBM
Taking a look back on Nicholas Carr’s seminal article from 2003

Why is Schema on Read So Useful?

A primer on why flexibility—not scale—often drives big data adoption

May 13, 2013 | by Tom Deutsch, Solution CTO, IBM
A primer on why flexibility—not scale—often drives big data adoption

Don’t Overhype Data Science Expectations

Why it’s important to keep outsized data science claims in perspective

April 8, 2013 | by Tom Deutsch, Solution CTO, IBM
Why it’s important to keep outsized data science claims in perspective

Getting Past the Big Data Hype—and Backlash

Why arguments at both ends of the spectrum are missing the point

March 14, 2013 | by Tom Deutsch, Solution CTO, IBM
Why arguments at both ends of the spectrum are missing the point

Big Data’s Future: Bigger Than Just Vertical Applications

Why one popular prediction about the direction big data will take in 2013 is too limited

January 24, 2013 | by Tom Deutsch, Solution CTO, IBM
Why one popular prediction about the direction big data will take in 2013 is too limited

Why Big Data Doesn’t Require a Big Idea

Bigger isn’t better when choosing your first big data project

January 4, 2013 | by Tom Deutsch, Solution CTO, IBM
Bigger isn’t better when choosing your first big data project

Getting Started With Fit-for-Purpose Architectures

How do you know when you need a new approach?

November 29, 2012 | by Tom Deutsch, Solution CTO, IBM
How do you know when you need a new approach?

Big Data: Fundamentally Different, Not Just Bigger

Why traditional methods of analysis just aren’t sufficient for working with big data

November 15, 2012 | by Tom Deutsch, Solution CTO, IBM
Why traditional methods of analysis just aren’t sufficient for working with big data