In this emerging era, big data analytics clouds will increasingly emphasize high-volume log analysis and rely heavily on cognitive computing algorithms to make sense of it all.
Big data requires a different way of working, and most organizations have not yet adapted. This means a change in company culture, which is always a great challenge to overcome.
You don't have to be a big data expert to understand that as the data value grows, current systems simply won’t keep pace.
With the advent of the cloud, clients can now innovate faster, work smarter and solve pressing business problems—sometimes with just the press of a button.
The ability to acquire and integrate data quickly is foundational to creating a speed advantage. Learn the three key capabilities that most differentiate Front Runners from the rest of the pack.
Hadoop as a data platform has reached a new level of acceptance and overall maturity. It’s time to open the full potential of data and invite data scientists to the boardroom.
This week, IBM announced a set of tools, technology and processes that will change how we look at data science forever. Now, armed with IBM technology, everyone can be a data scientist.