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Kimberly Madia
Manager of Portfolio Strategy, IBM

Kimberly Madia is a Manager of Portfolio Strategy at IBM focused on emerging roles and technologies such as Data Science, Spark, Hadoop and Streaming Analytics. She works with clients to create analytics solutions and more intelligent applications.  She is a regular speaker at tradeshows and user groups and publishes regular blogs.  Kimberly has been with IBM since 2001 and during her career has also worked as a technical support engineer and a business partner technical skills manager.  Kimberly earned an undergraduate degree in Computer Science from Allegheny College and an MBA in Strategy and Information Technology at Carnegie Mellon University. 

Making Sense of Encryption Technique Options

August 20, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
While it’s easy to get caught up in all the excitement and opportunity of big data, it’s also easy to forget that it’s still affected by the same problems as any other data. Data breaches don’t distinguish between big or “small” data – if there’s value in the data, everything is fair game for...

Real-time Analytic Processing at Your Fingertips

August 14, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
During a recent conference, I had the privilege of speaking with clients from many different organizations about their big data challenges. Most were very excited and just starting down the path of harnessing its power. Tempering this excitement was a concern about the complexity of big data...

Bolstering Big Data Protection for Confident Decisions

Create and enforce security and privacy policies for<br>ironclad protection of big data

August 9, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Create and enforce security and privacy policies for ironclad protection of big data

5 Best Practices for Test Data Management

Extract subsets of production data for continuous testing at warp speed

July 26, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Extract subsets of production data for continuous testing at warp speed

Data Masking Everywhere

July 23, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
The new era of computing has arrived: organizations are now able to process, analyze and derive maximum value from structured, unstructured and streaming data in real time. However, in the rush to achieve new insights, are privacy concerns being neglected? How can you support business goals while...

Data Security Strategies to Keep the Bad Guys at Bay and the Good Guys Honest

June 26, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
You rely on the data warehouse for business-critical reporting and analysis. The warehouse has become the workforce engine powering business decisions and driving results. It is a central repository created by integrating data from one or more disparate sources such as applications, databases and...

Data Privacy a Top Concern for Business Leaders

IBM InfoSphere Optim Data Privacy Solution named a leader in the first-ever Gartner Magic Quadrant for Data Masking Technology

January 17, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
IBM InfoSphere Optim Data Privacy Solution named a leader in the first-ever Gartner Magic Quadrant for Data Masking Technology

Data Privacy a Top Concern

January 15, 2013 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
In the first ever Gartner Magic Quadrant for Data Masking, IBM InfoSphere Optim Data Privacy Solution was named a leader, receiving the best ranking in the ability to execute and completeness of vision categories compared to competitors.

How to Build Security into Big Data Environments

December 19, 2012 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
The rise of social media, the cloud, mobility and big data are making threats harder to identify and exposing important information. For businesses and governments, improved data security and privacy should be on the “new year’s resolution” list. 

Top tips for securing big data environments

September 14, 2012 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Why big data doesn’t have to mean big security challenges What is big data? Big data spans four dimensions: volume, velocity, variety and veracity. Volume: Every day 2.5 quintillion bytes of data are generated from new and traditional sources including climate sensors, social media sites,...

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