When Cisco started working on a unified analytics platform, the company was more concerned with finding the right people to do the work than with the data they were using, Cisco’s vice president of strategy, Rajat Mishra, said at the VB Summit in Berkeley, California today. “I wish I could tell you we had a […]
When Cisco started working on a unified analytics platform, the company was more concerned with finding the right people to do the work than with the data they were using, Cisco’s vice president of strategy, Rajat Mishra, said at the VB Summit in Berkeley, California today.
“I wish I could tell you we had a very analytical approach to this problem,” he said in an onstage interview. “The truth is much messier.”
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The management approach Cisco took nicely mirrors one classic method of training a machine learning algorithm: Start with a small data set, then add more data.
“Instead of focusing on data, we actually focused on the people,” Mishra said. “And we found one small group in our business who was willing to work on this new approach.”
The network systems company moved from that small team to a handful of executives as it pushed the effort further.
“What started with the one executive started a mini snowball effect,” Mishra said.
An early player in the world of IT, Cisco launched as a networking company more than 30 years ago. Now it’s getting serious about artificial intelligence.
Cisco acquired a number of AI and machine learning startups in the last year, including MindMeld, AppDynamics, and Perspica. AppDynamics and Perspica both specialize in machine learning software tools for IT professionals; MindMeld’s technology focuses on conversational interfaces.
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