The AI with Maribel Lopez (AI with ML)
The AI with Maribel Lopez podcast interviews leading thinkers, experts and innovators on the latest trends in Artificial intelligence areas such as agentic AI, generative AI, AI security, AI ethics and governance. Maribel Lopez is a technology industry analyst, keynote speaker and founder of the Data For Betterment Foundation and Lopez Research. The podcast shares advice, strategies and techniques on how to use AI solutions such as conversational AI, computer vision and automation to make businesses more efficient. New episodes are released every week on Wednesdays.
The AI with Maribel Lopez (AI with ML)
IBM Think 24: A Discussion on AI Governance with AWS and IBM
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Episode Summary: In this episode, recorded live at the IBM Think event in Boston, Maribel Lopez moderates a panel on AI governance with key figures from IBM and AWS. The discussion revolves around the current state and future of AI governance, the challenges and opportunities it presents, and the role of innovation and regulation in shaping responsible AI adoption.
Speakers:
Maribel Lopez, Lopez Research
Karthik Bharathy from Amazon SageMaker
Heather Gentile from IBM Watsonx.Governance
Kush Varshney from IBM Research.
Key themes:
This panel discussed the necessity for organizations to manage data across hybrid multi-cloud environments while ensuring robust governance is discussed. Gentile highlighted the strategic importance of AI governance for organizations aiming to align AI adoption with their ethics, culture, and values.
The panel discussed how companies are shifting from siloed AI projects to enterprise-wide governance frameworks driven by generative AI innovations as well as the need to closely follow changes in the regulatory landscape. Bharathy discusses the collaboration between AWS and IBM Watson to integrate governance tools with AI and ML workflows. This integration aims to simplify risk management and regulatory compliance for customers using generative AI. Collaboration between AWS and IBM is seen Varshney shared insights on ongoing research in AI governance, particularly in addressing issues like hallucination in generative AI and developing algorithms for regulatory compliance.
