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.
Worldwide Product Marketing Manager, InfoSphere Streams, IBM
December 10, 2014
Stream computing exploded in 2014 and we’ve got high expectations for 2015. The October 2014 IBM Institute for Business Value report found that real-time analytics is the leading big data requirement. What’s your prediction for the future of stream computing?
November 18, 2014
“Just the facts ma’am” worked well for Joe Friday in the 1950s, however, in our big data world (where factoids pop up at incredible speeds, often with little warning) we need big data technology to help us bring the right context and act in the business moment. You can make big data make sense and discern which facts are relevant to you with IBM Context-Aware Stream Computing.
October 23, 2014
The average organization loses $3.2 million to data breaches, up 15% from 2013. It's time to blend log analysis, real-time and predicative analytics to enable a new big data security analytics strategy.
September 23, 2014
Most organizations aren’t able to derive context quickly enough to turn big data into action. Overcoming these challenges requires a real-time, context-aware computing platform.
September 12, 2014
In this, the fifth and final post in our real-time actionable insight series, we explore several case studies where real-time action improved business outcomes and mitigated risk.
September 8, 2014
In this post, the fourth installment of our five part series focused on real-time actionable insight, we explore how to optimize decision management by infusing context-aware streaming analytics into all decisions. Using IBM’s four pillar approach (Sense, Orient, Decide and Act) you can be assured that your decision will result in smarter business processes and more intelligence operations.
Don't go chasing wild chickens
September 2, 2014
Big data can be turned into big business opportunities, but can also send you on a wild goose chase. Using IBM’s four pillar approach (sense, orient, decide and act) you can correct course and shift from reactive to proactive effectively orienting your organization to the business moment.
Step one for selling more chicken dinners
August 25, 2014
Most data that organizations capture and collect isn’t valuable. In addition, high value data is often overlooked because organizations can’t capture, analyze and act fast enough. IBM has created a solid foundation to help organizations capture all opportunities, even the ones that are fleeting, like selling more chicken dinners on a Friday night. The goal is to acquire, grow and retain customers based on real-time actionable insight.
August 18, 2014
Need to sell more products? Dump Steve, the guy in the chicken suit flagging down customers in the parking lot, and adopt real-time actionable insight. IBM’s four pillar strategy (sense, orient, decide and act) will turn your big data into action. In our five-part series, we will introduce real-time actionable insight and explore each pillar in detail.
August 15, 2014
You have a lot happening in your day: a morning doctor’s appointment, a quick call into the help desk to resolve your laptop issue, an important strategy planning meeting at work, a trip to the grocery store to pick up some dinner and homework time with the kids. Ever stop and think “how do real-time analytics power my day?”