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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. 

Now available - The Forrester Wave™: Big Data Streaming Analytics, Q1 2016

Now available - The Forrester Wave™: Big Data Streaming Analytics, Q1 2016

April 7, 2016 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Over the past two years, several new entrants to the market and existing players have been rapidly building offerings, and the use cases for streaming analytics are pervasive. The Forrester Wave™: Big Data Streaming Analytics, Q1 2016, reports “Streaming analytics are critical to building...
The Australian Open: Serving up streaming analytics in the cloud

The Australian Open: Serving up streaming analytics in the cloud

January 8, 2016 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Just as today’s businesses need to speed operations and cut costs, the same goals hold true for major sporting events such as the Australian Open Tennis Championships. To help make the Australian Open 2016 event the ultimate experience for online fans and the fans in attendance, see how the IBM...
The quick reference guide to technologies and applications for stream computing

The quick reference guide to technologies and applications for stream computing

December 18, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Stream computing combines data streams with an increasingly broad range of applications designed to help businesses solve problems of all kinds. Learn more about how you can capture data streams and infuse them into your applications.

How to predict customer churn in every interaction

December 4, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Do you strengthen your relationships with your customers by plugging them into your data? In this webcast, learn how you can use your data to disrupt your marketplace and engage your customers over the long term.

Spark: Fostering community innovation

November 25, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Organizations are using the fast-growing popularity of Spark open source technology to foster community innovation and simplify the process of expressing system learning algorithms.
Highlights from day 3 of IBM Insight 2015

Highlights from day 3 of IBM Insight 2015

October 30, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Insight 2015 adds some Hollywood-style splash to its concluding general session with a big acquisition announcement that promises to take cognitive innovation to new heights. Get a glimpse of the conference’s wrap and some noteworthy highlights that punctuated this year’s event.
Discover Spark innovation at IBM Insight 2015

Discover Spark innovation at IBM Insight 2015

October 23, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Apache Spark provides a processing framework that is well suited for collaboration among data scientists, developers and data engineers who create highly adaptive solutions. Attendees at Insight 2015 can learn much more about the Spark framework that is built for speed, ease of use and...
5 signs an organization should try cloud-based streaming analytics

5 signs an organization should try cloud-based streaming analytics

October 9, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Data shows that organizations spanning many industries can transform business and enhance growth by using cloud-based delivery models for applications and streaming analytics. But not every business scenario is well suited for services through the cloud. Take a look at five signs that an...
Who uses Spark and why?

Who uses Spark and why?

October 1, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
Why is Spark so badly needed by the data science community? Primarily, it offers an open platform for fast, powerful data access that is vital for organizations because they are increasingly using a wide variety of technologies to deliver analytics, and they are tied to a variety of workloads....
Build more adaptive applications with Apache Spark

Build more adaptive applications with Apache Spark

September 4, 2015 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
For startups that want to thrive, leveraging data science is imperative. However, it has been difficult to do so because fragmented data science approaches have prevented integration of data analysis into applications. But now Apache Spark brings together the data science workflow to enable cross-...

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