UPDATED 18:30 EDT / OCTOBER 22 2019

AI

Mobile app offers single source of truth for IBM executives as AI tools become more robust

IBM Corp. has built an extensive artificial-intelligence practice with Watson and a portfolio of cognitive tools. The company has also taken major steps to drive AI and data analysis within IBM itself.

IBM has created an internal mobile app that leveraged Cognos Analytics and allowed its top executives to access critical data anytime and anyplace, according one of its information-technology leaders.

“It’s really about making sure we use data and AI to make appropriate decisions,” said Seth Dobrin (pictured), vice president of data and AI and chief data officer of cloud and cognitive software at IBM. “At any point, Ginni Rometty or Rob Thomas or Arvind Krishna can pull up and look in Enterprise Performance Management and understand where the business is.”

Dobrin spoke with Dave Vellante (@dvellante), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM Data and AI Forum in Miami, Florida. They discussed the launch of a new tool for enterprise automation and how one customer solved an eight-year problem through IBM’s dedicated AI solution (see the full interview with transcript here). (* Disclosure below.)

Automating end-to-end

IBM has continued its focus on the deployment of new AI tools for enterprise use, internally and externally. In June, IBM launched AutoAI with new features to automate enterprise tasks.

“It’s probably the only tool out there that automates the end-to-end pipeline but isn’t a black box,” Dobrin explained. “It actually kicks out code so your data scientists can take it and optimize it further. Its AI for AI.”

During the IBM event in Miami this week, a speaker from the global digital agency of Wunderman Thompson presented a use case for how the company leveraged the AutoAI tool. The firm had a problem with over 17,000 features in data sets that required painstaking work by data scientists to extract necessary information, according to Dobrin.

“This is probably one of the most impactful use cases of AutoAI for data,” Dobrin said. “They’ve been trying to solve this problem for eight years. AutoAI plus the Data Science Elite team solved this problem for them in two months.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM Data and AI Forum. (* Disclosure: TheCUBE is a paid media partner for the IBM Data and AI Forum. Neither IBM Corp., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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