Forrester’s AI Webinar Series: Navigate The Choppy And Exciting Waters Of Enterprise AI
Forrester - Business Intelligence
JUNE 7, 2024
Navigate the choppy and always exciting waters of artificial intelligence (AI) with Forrester’s analysts.
Forrester - Business Intelligence
JUNE 7, 2024
Navigate the choppy and always exciting waters of artificial intelligence (AI) with Forrester’s analysts.
Cprime
FEBRUARY 1, 2024
– 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?
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The Data Administration Newsletter
MAY 15, 2024
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 […]
The Data Administration Newsletter
OCTOBER 3, 2023
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.
Domo
OCTOBER 9, 2019
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?
Astera
MAY 14, 2024
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.
Analysts Corner
JANUARY 6, 2025
How will artificial intelligence and other automation technologies evolve? How will artificial intelligence and other automation technologies evolve? For example, professions related to the training and maintenance of algorithms, data quality control, cybersecurity, AI explainability and human-machine interaction.
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