How Today's AI is like the Early 2010s
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The introduction of cloud computing brought about a significant change on how we use technology with our businesses. Let’s look at the historical parallels to today’s AI for the Enterprise. (Part 2 of 3)

SHOW: 828

**SHOW TRANSCRIPT: **The Cloudcast #828)

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• Panoptica, Cisco’s Cloud Application Security solution)

SHOW NOTES:

• Part 1: How Today's AI is like the Early 2000s) (Cloudcast Eps:826)
• Part 2: How Today’s AI is like the Early 2020s) (Cloudcast Eps.828)

WHAT SHAPED THE EARLY 2010s?

• 2008 financial crash and less money available for technology (uncertainty)
• Increased frustration with corporate IT organizations (too much “no”)
• The possibilities of mobile computing and socially connected societies (abundance)

EARLY CLOUD WAS ALL ABOUT BREAKING AWAY FROM CORPORATE IT

• It’s a new generation of computing, so the future winner is unknown.
• Many companies are trying to have centralized IT policies - one size fits all
• Data governance and legal liability is driving corporate policies (education needed)
• Consumer AI is widely available and applicable to some job functions
• Executives are starting to talk about “AI First” policies
• Cloud-native and Cloud-migrated were very different things, with different results

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