AI taking over the enterprise, one vendor feature at a time

#AI taking over the enterprise, one vendor feature at a time  via @CIOdive

  • Box is an example of this, lowering the machine learning bar for entry by introducing image recognition technology on its platform.
  • Last month, Box announced the incorporation of Google Cloud Vision technology, which uses machine learning image recognition technology to catalogue images into different categories.
  • While it has quickly become apparent that the industry can get close to more advanced machine intelligence — if not full AI eventually — “we kind of leapt straight toward what are all the vast implications for this technology,” Levie said.
  • Joke’s about Elon Musk’s AI fears aside, the rapid addition of advanced computing into the technology sector has also highlighted the limitations companies are facing.
  • Though many organizations could stall the impending shift to the cloud, the potential for AI technology acts as yet another motivator for companies to make the migration.


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Continue reading “AI taking over the enterprise, one vendor feature at a time”

What It Will Take for Us to Trust AI

What It Will Take for Us to Trust #AI #IBMWatson

  • AI systems must be built from the get-go to operate in trust-based partnerships with people.
  • We also expect AI systems to pervasively support the decisions we make in our professional and personal lives in just a few years.
  • Bias could be introduced into an AI system through the training data or the algorithms.
  • Trust of AI systems will be earned over time, just as in any personal relationship.
  • But most experts believe that by thoroughly testing these systems, we can detect and mitigate bias before the system is deployed.

Ethics and accountability.
Continue reading “What It Will Take for Us to Trust AI”

What It Will Take for Us to Trust AI

  • AI systems must be built from the get-go to operate in trust-based partnerships with people.
  • We also expect AI systems to pervasively support the decisions we make in our professional and personal lives in just a few years.
  • Bias could be introduced into an AI system through the training data or the algorithms.
  • Trust of AI systems will be earned over time, just as in any personal relationship.
  • But most experts believe that by thoroughly testing these systems, we can detect and mitigate bias before the system is deployed.

Ethics and accountability.
Continue reading “What It Will Take for Us to Trust AI”