Organizations have a tool to address the multiple challenges faced by their knowledge workers: multispeed information technology. In this podcast, get an overview of multispeed IT and details on how businesses can implement it rapidly and cost-effectively.
What does digital business really mean for organizations? Business becomes predictive, and new business models are created daily to address opportunities that may last only seconds. The company becomes almost organic, with an enterprise nervous system that senses, understands and adapts to local
Learn about the new dashDB product, which makes a powerhouse of data warehousing and analytics technology accessible to everyone on the cloud. A fully managed service that can help IT professionals, data scientists and line of business analysts get up and running with insights from their data with
Cloud, mobile, security, analytics and big data are all significant issues for IT organizations, and the landscape of each issue is rapidly evolving. While it’s difficult for organizations of all sizes to keep up with the changes, it’s especially challenging for small and midsize companies. Brian
If you take a quick glance at any technology publication (and many business publications as well) you will likely see some reference to real-time. There’s real-time customer service, real-time marketing, real-time analytics and the list goes on. But what does real time mean? Is there a standard
The relational database world has decades of research and experience optimizing SQL access and providing the needed capabilities for mission critical environments. Now, new SQL-on-Hadoop offerings are popping up, which is helping IT departments leverage their existing expertise to move into the big
Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture
Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described
It's been said the "culture eats strategy for lunch." Tom Deutsch, program director of big data & advanced analytics at IBM, joined us to describe MVI—the minimum viable insight—which is an approach to conquering issues within internal culture and dynamics.
Hadoop for the Enterprise: Quick. Easy. Free. Get your hands on IBM’s enterprise-grade features to start experimenting with Hadoop today. InfoSphere BigInsights combines the power of Hadoop with enterprise-grade features including visualization & exploration, advanced analytics, and security
What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more.
Listen here or read the blog post that spurred this podcast.
This episode features two experts with very different perspectives talking about the intersection of big data, analytics and the databases that make it all possible. IBM Champion David Birmingham is a Senior Principal with Brightlight Consulting. He has more than 25 years of experience in very –
In this episode of "Talking Big Data," we turn over the microphone to one of our clients, Jean-Marc Blaise, an experience DB2 user and consultant. Like many database administrators, users and consultants, he has questions about "big data." He will pose those questions to Leon Katsnelson, IBM
Conversations around big data are shifting from "what is big data?" to "what can I do with big data?" Five key use cases have emerged that hold high potential value for many organizations. Eric Sall, vice president of product marketing at IBM, describes those high-value uses for big data. For
In this “Talking Big Data” podcast, Tom Deutsch, program director of IBM's Big Data Portfolio, spoke with IBM's social media lead for big data, David Pittman, on the question: “Who is best to own the data?”