Blogs

Kimberly Madia
Worldwide Product Marketing Manager, InfoSphere Streams, IBM

Kimberly Madia is a World Wide Product Marketing Manager for the IBM Big Data Portfolio, focused on InfoSphere Streams. She has been with IBM since 2001. Kimberly earned an undergraduate degree in Computer Science from Allegheny College and an MBA in Strategy and Information Technology at Carnegie Mellon University. During her career at IBM, she has worked as a technical support representative and a business partner enablement manager. Currently, Kimberly is focused on developing solutions to support big data initiatives around stream computing and security intelligence. She has published numerous articles in IT publications and is a regular speaker at tradeshows, user groups and web conferences.

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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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, Worldwide Product Marketing Manager, InfoSphere Streams, 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-...
Analyzing the evolution of streaming analytics architectures

Analyzing the evolution of streaming analytics architectures

Part 2 of 2

August 11, 2015 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
When customers or other key stakeholders expect to be able to connect with an organization instantaneously, extremely low latency, high throughput data and analytics flows and execution are absolutely essential. The advent of the Internet of Things is among several key drivers of the emergence of...

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