UPDATED 15:32 EDT / JUNE 21 2017

BIG DATA

Teradata’s challenge: How to get value from deep learning results

It’s one thing to apply deep learning and artificial intelligence tools to data. It’s another to realize meaningful results that can make a real difference in your business. Teradata Corp. is seeking to address the value proposition by focusing on use cases and solutions that get to the core of a company’s mission and customers.

“Anybody that wants to be a winner in this new digital era and have processes that take advantage of artificial intelligence is going to have to use data as a competitive advantage,” said Ron Bodkin (pictured), vice president and general manager, AI, at Teradata.

Bodkin stopped by theCUBE, SiliconANGLE’s mobile livestreaming studio, and answered questions from hosts Lisa Martin (@Luccazara) and George Gilbert (@ggilbert41) during the DataWorks Summit in San Jose, California. They discussed how businesses are focused on use cases from data science ecosystems built around the Hadoop platform — open-source-based software used for storing, processing and analyzing big data — and price-performance predictions for deep learning. (* Disclosure below.)

Conversation moving to use cases

Bodkin, previously the founder of Think Big Analytics, came to Teradata when his company was acquired in 2014. He described how he’s witnessed a shift in customers’ thinking as they came to better understand their data and look for how to make it benefit their business.

“A lot of them have backed off from their initial ambitions that they bought a little too much of the hype around all that Hadoop might do,” Bodkin said. “I see the conversation moving from the technology to the use cases.”

Those use cases include areas such as preventative maintenance, anti-fraud applications for banks and e-commerce recommendations, according to Bodkin. “A lot of customers are excited about use cases for artificial intelligence,” he said.

Recent advances in hardware and AI technologies, such as breakthroughs announced recently by Nvidia Corp. and Google Inc., will make the data science process more efficient and less expensive. “It’s quite reasonable to expect that you’ll have 10,000 times the price-performance for deep learning in five years,” Bodkin concluded.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of DataWorks Summit. (* Disclosure: Teradata Corp. sponsored this DataWorks Summit segment on SiliconANGLE Media’s theCUBE. Neither Teradata nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

A message from John Furrier, co-founder of SiliconANGLE:

Your vote of support is important to us and it helps us keep the content FREE.

One click below supports our mission to provide free, deep, and relevant content.  

Join our community on YouTube

Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.

“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy

THANK YOU