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.

Just released—The Forrester Wave: Big Data Streaming Analytics Platforms, Q3 2014

July 23, 2014
Hot off the press! In response to overwhelming market demand, Forrester evaluated an elite group of vendors who offer real-time analytic platforms and has just released the first ever Forrester Wave for Big Data Streaming Analytics Platforms. Read More

Github, StreamsDev and Quick Start–Oh my!

July 9, 2014
Developer resources for InfoSphere Streams are abundant. Review the top five resources to get started and join a thriving and growing community of InfoSphere Streams users across healthcare, energy and utilities, telecommunications and more.  Read More

GOAL! Team IBM scores with sports and social media

June 26, 2014
IBM Brazil is running one of the largest sentiment analysis applications in the history of the country during the most important sporting event on the planet. Powered by solutions such as IBM InfoSphere Streams, it runs on two independent cloud systems provided by IBM SoftLayer. During the games, the application constantly analyzes positive, neutral and negative sentiment in posts written in Portuguese. Score one for the fans and team IBM.  Read More

Moberg’s Smart ICU powered by IBM real-time analytics

June 9, 2014
On June 11, 2014 Moberg will present its Smart ICU project during the concluding event of the SmartAmerica Challenge. SmartAmerica is a White House Presidential Innovation Fellow project with the goal of facilitating research in Cyber-Physical Systems (CPS) – also termed the “Internet of Things.” Moberg will demonstrate concepts for a Smart ICU where each room is a system of “connected things.” The Smart ICU has the potential to save lives, increase safety, reduce costs to healthcare and society and create high tech job growth when used to optimize care of persons with brain injuries.  Read More

Humans are great at understanding context, what about computers?

June 9, 2014
Context computing is a problem the human brain has evolved to tackle. Computer programs—well that is more challenging! IBM brings context computing to the forefront and is investing in sense making technologies.  Read More

Real-time analytics as a service

May 7, 2014
Explore the benefits and use cases of real-time analytics as a service. Read More

Streams versus Storm: What’s in a name?

May 1, 2014
Across cultures, since the beginning of time, humans have given great importance to naming of offspring. Children are named for ancestors, significant events or natural wonders. Names give meaning to people, places and objects. Read More

Give your application an unfair advantage

April 30, 2014
New big data services announced at IBM Impact Read More

The Internet of Things

April 28, 2014
Today, the Wall Street Journal reports that more than 30 billion devices will be wirelessly connected to the Internet of Things by 2020. Machine data generated in the IoT comes from thousands of sources with applicability much broader than retail. Some narrowly define machine data as logs or sensor output; certainly these sources are a part of the IoT, but it’s much broader. Machine data is any information which is automatically created from a computer process, application, or other machine without the intervention of a human.  This includes logs and sensors, but also sources such as power grids, health monitors, security cameras, computer networks, call detail records, financial instrument trades and more. The question is how do we leverage this machine data? Join our #BigDataMgmt Twitter chat on April 30 to discuss. Read More

So you heard about Streams Quick Start—now what?

April 14, 2014
Join the exclusive Streams developer event April 17, 2014 Read More

Pages