More Big Data Resources
A month after IOD, many attendees are still sharing the lessons they learned. We found that, not surprisingly, conversations around big data are especially active. Continue reading
Category Archives: Big Data
Think Big – and Smart: Reflections on IOD
If there was one takeaway from Information On Demand 2012, it was that the era of big data has arrived. Technology is available today to Continue reading
A Week Later: Predictions, Analytics & Big Data Context
Thursday night, I slipped out of Las Vegas, leaving the Mandalay Bay biosphere for the first time since Saturday. My head was buzzing with ideas Continue reading
IOD Dispatch: What now?
What now? The 2012 edition of Information On Demand certainly left us all with a lot to think about, whether it was our Big Future, Continue reading
Tuesday Recap: Big Opportunities, PureSystems, Analytics & More
Ah, Wednesday morning. The penultimate day of IOD, when your feet fight even the most comfortable shoes, and your brain is nearing capacity. Luckily, a Continue reading
It’s a Big Data World! What Skills Do You Need?
Just before the end of the official Information On Demand conference agenda Monday – and before the round of nightly receptions – big data evangelist Continue reading
Get in the Zone with the Help of a Big Data Business Partner
Attendees have traveled to Information On Demand 2012 from all around the world to hear about the latest big data solutions from IBM. While at Continue reading
Watch IOD from Afar via LiveStream
If you can’t attend Information On Demand in person, the LiveStream is the next-best thing. With daily livestreaming from each morning’s general sessions and the Continue reading
Press Conference Highlights Big Data Digital Marketing Uses
The news at the Monday press conference was less about the new products announced at Information On Demand and more about how organizations are using them Continue reading
Big Data: Making the Shift from Possible to Proven
Most companies are mining the data they have. They’re not going out to analyze the data they don’t have. So how do they collect the Continue reading