This episode is brought to you by the Cloud Wars Expo. This in-person event will be held June 28th to 30th at the Moscone Center in San Francisco, California.
00:37 — Governance is not new—especially in the world of technology. But when it comes to AI, governance is an especially critical component.
00:55 — From one perspective, AI has created false narratives and concepts that feed into the uncertainty of using AI as a strategic tool. However, there are estimates that 80% of companies have increased their AI/ML budget for future strategic use.
01:19 — Many AI governance efforts fail to include compliance, cost, value, and auditing. This balance can be a challenge, as AI can learn and create new data which can fall outside of privacy or compliance standards.
01:48 — While there is recognition of AI having value as a strategic tool to identify actionable insights, there are also worries that AI data will fall outside of standards.
02:12 — This calls for concentrated efforts to understand the nature of how AI is being used as well as its purpose. Then, organizations can develop a corrected foundational governance model that’s unique to their company and industry requirements.
02:34 — As the pace of AI continues to rapidly grow, these models need to be scalable and flexible.
02:42 — If you’re using multiple different solution providers, they’re going to have their own sets of AI governance standards. So, what are your plans for AI governance for your organization?
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