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Unleashing the Power of Data with Trusted AI

You're reading from  Unleashing the Power of Data with Trusted AI

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835467893
Pages 68 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Wendy Turner-Williams Wendy Turner-Williams
Profile icon Wendy Turner-Williams
LinkedIn
Wendy is a distinguished leader and innovator at the intersection of business, AI, data, and software. She has been instrumental in spearheading digital, cloud, and AI transformations across globally recognized brands, translating complex concepts into actionable strategies. As the founder and CEO of Culstrata-ai and TheAssociation.ai, Wendy has created platforms that not only provide AI and data professional services but also globally unite professionals across the fields of AI, data, ethics, privacy, robotics, and security in promoting an ethical, quality, and trustworthy AI future. Her leadership role as a CDAIO at Salesforce, Tableau, and other tech giants reflects her ability to realize substantial revenue and operational advancements.
See other products by Wendy Turner-Williams

Table of Contents (12) Chapters

Executive summary Introduction to AI and generative AI Modernizing the boardroom to steer data and AI Navigating the future of AI by bridging strategies Seven steps to ethical, quality, and trusted generative AI implementation Real-world AI success cases The future of generative AI in data and analytics The road ahead: Embracing the AI revolution
Key takeaways for board members and executives
Conclusion: Embracing the future of data and AI
About the author
Bibliography

Step 4: Understanding the risk landscape

In the ongoing journey to incorporate AI into your organizational structure, it’s vital to grasp the intricate web of risks it entails. Introducing AI without a comprehensive understanding of existing data management maturity and potential risk factors is akin to bringing in a poorly behaved AI entity.

Unique risks introduced by AI and potential mitigations

As with every advancement, AI has risks. As the tech giants battle for AI dominance, policymakers and regulators will try to keep up the pace. The recently released 14 and the15 are great regulatory starts, but they still ignore that data elephant in the room. Let’s explore some of the new risks that AI introduces and discuss how a Data by Design approach can mitigate these risks while preparing you for the data regulations to come.

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Authors (1)

Profile icon Wendy Turner-Williams
LinkedIn
Wendy is a distinguished leader and innovator at the intersection of business, AI, data, and software. She has been instrumental in spearheading digital, cloud, and AI transformations across globally recognized brands, translating complex concepts into actionable strategies. As the founder and CEO of Culstrata-ai and TheAssociation.ai, Wendy has created platforms that not only provide AI and data professional services but also globally unite professionals across the fields of AI, data, ethics, privacy, robotics, and security in promoting an ethical, quality, and trustworthy AI future. Her leadership role as a CDAIO at Salesforce, Tableau, and other tech giants reflects her ability to realize substantial revenue and operational advancements.
Read more
See other products by Wendy Turner-Williams

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Risks introduced by AI

Design approach to mitigate risk

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