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From Data to Decisions: The Rise of Generative AI in Financial Strategy

Cprime

– A solid data strategy ensures that AI models are fed with accurate, comprehensive, and clean data, leveraging unstructured data for competitive advantage, and maintaining responsible data governance and ethical AI usage. What are the risk management and compliance considerations for GenAI in finance?

Finance 79
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Forrester’s AI Webinar Series: Navigate The Choppy And Exciting Waters Of Enterprise AI

Forrester - Business Intelligence

Navigate the choppy and always exciting waters of artificial intelligence (AI) with Forrester’s analysts.

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The Risk and Promise of AI

The Data Administration Newsletter

Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live. At the heart of this transformation lies data, the fuel that powers AI systems. How we manage this data can determine whether […]

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Weighing the Risks and Rewards of AI

The Data Administration Newsletter

I also participated in an executive dinner and roundtable to focus on artificial intelligence (AI). During the CDM Media’s September 2023 Houston CDO and CIO/CISO Summit, I joined a group of business and IT leaders across various industries to share perspectives and best practices.

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What Large Orgs Can Learn from Domo’s Security Experts

Domo

That improvement comes in the form of greater transparency and communication, allowing for individual choice, and more thoughtful data management practices generally. Q: Even large global organizations face inherent issues of IT and data governance. What could they do to be better?

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Exploring Data Provenance: Ensuring Data Integrity and Authenticity

Astera

For instance, when a sales dashboard shows a sudden revenue spike, data provenance identifies where the anomaly started, facilitating quick resolution and preventing faulty data from affecting decisions. Data provenance enables organizations to prove their compliance with these regulations.