Blogs

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.

Why data science is a team sport

Why data science is a team sport

June 2, 2015 | by Tom Deutsch, Solution CTO, IBM
C-level executives often wonder why the work to resolve complex problems seems to never get done while the organization clearly has the data science talent at hand. Skill sets alone often don’t cut it; the key to problem solving is matching the DNA of the problem to the DNA of fit-for-purpose...

Capacity Problems That Hinder Analytics Progress

See four common ways in which talent or resource limitations can encumber big data and advanced analytics

February 13, 2015 | by Tom Deutsch, Solution CTO, IBM
See four common ways in which talent or resource limitations can encumber big data and advanced analytics

Business process management is not at the center of an IoT strategy

October 21, 2014 | by Tom Deutsch, Solution CTO, IBM
An Internet of Things (IoT) strategy requires a whole lot more than a business process management (BPM) engine to succeed.

Key Considerations for Third-Party Information Sources

IBM experience with data sources fosters a timely primer as the number of external data sources grows

September 28, 2014 | by Tom Deutsch, Solution CTO, IBM
IBM experience with data sources fosters a timely primer as the number of external data sources grows

Data Lakes, Analyst Observations, and Reality

Fit-for-purpose architectures can bring business outcomes down to earth

August 21, 2014 | by Tom Deutsch, Solution CTO, IBM
Fit-for-purpose architectures can bring business outcomes down to earth

Analytics Hype: The Next Wave in Big Data Backlash

When considering big data technologies, don’t confuse data collection with smart, operational use of the collected data

May 30, 2014 | by Tom Deutsch, Solution CTO, IBM
When considering big data technologies, don’t confuse data collection with smart, operational use of the collected data

Recapping 2014: Significant Trends for Big Data

The months ahead represent the year that was when it comes to prognosticating big data, analytics, and more

March 28, 2014 | by Tom Deutsch, Solution CTO, IBM
The months ahead represent the year that was when it comes to prognosticating big data, analytics, and more

Mapping change to opportunity: New imperatives for big data and analytics

March 26, 2014 | by Tom Deutsch, Solution CTO, IBM
A recently released infographic aids in understanding how big data capabilities map back to enterprise strategic imperatives. I'll break this infographics down into steps and discuss each level for clarity and definition.

Mobile, Hyperpersonalized Experiences and Big Data

Intersecting mobile hyperpersonalization and big data can forever change the dynamics of interaction

November 29, 2013 | by Tom Deutsch, Solution CTO, IBM
Intersecting mobile hyperpersonalization and big data can forever change the dynamics of interaction

A Different Methodology for Big Data

Get acquainted with minimum viable insight for moving analytics-driven big data projects forward

October 12, 2013 | by Tom Deutsch, Solution CTO, IBM
Get acquainted with minimum viable insight for moving analytics-driven big data projects forward

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