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WHITE PAPER
Mahesh Kshirsagar
CTO – Analytics & Insights, TCS
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For safe, secure, and sustainable AI, enterprises must learn to gainfully manage the three dimensions of AI —righteous, reliable, and restrictive — as an integral part of AI and data governance. However, AI and data governance have overlapping aspects, and none can be considered in isolation. Plus, they are part of the larger IT governance. We identify the critical aspects of AI governance, and elucidate how this approach will have to continuously evolve as enterprises periodically review the three dimensions, to secure more benefits from their AI solutions.
For righteous AI, we recommend 4Bs:
For reliable AI, enterprises need to prevent data bias, data poisoning and model stealing. The right handling of data should not be focused just on managing regulatory compliance, but should also be driven by self-discipline or restrictive AI.
Sovereign Cloud: Ensuring Control, Compliance, and Sustainability
Maximize Business Value with an AI-driven Hybrid Cloud Strategy
Embracing Modern Workplaces with AI-powered Companions
Quantum Sensing in the Oil and Gas Industry
No matter where you are on your cloud journey, we can help you get maximum value from it.
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