A recent AlphaGo victory is being touted as a Big Win for artificial intelligence (AI). It's a no less important win for machine learning, which might be in the midst of a renaissance.
- By Steve Swoyer
- February 25, 2016
Software development is in the midst of a transitional period, thanks to the emergence of use-oriented models like DevOps, which are revolutionizing application development, delivery, maintenance, and enhancement.
- By Steve Swoyer
- February 24, 2016
The appeal of the agile technology alternatives goes beyond the potential for improved performance. They all represent approaches to augmenting the data warehouse environment in ways that reduce restrictions.
- By David Loshin
- February 24, 2016
Why are enterprises choosing open source for desktops, plus ideas about the cloud your enterprise should consider and how to lock down Hadoop.
- By Quint Turner
- February 23, 2016
Proponents of data warehouse automation say the way we design, build, and manage data warehouse systems is obsolete. They say ingenuity, not labor, is the most important contribution human beings can make to the design, development, and optimization of the warehouse.
- By Steve Swoyer
- February 19, 2016
We explain the four things your IoT project needs to be successful.
- By Asim Razvi
- February 18, 2016
A look at how Hadoop and Spark do things differently (and extremely well), plus why sophisticated attacks require sophyisticated defenses and are personal clouds a good policy?
- By Quint Turner
- February 18, 2016
Use open source and open architecture to get the most out of big data, plus why big data projects are increasingly successful but sill not reaching their full potential. Also: preventing cyberattacks.
- By Quint Turner
- February 17, 2016