Data and AI Governance through IDMC

This webinar is designed for data scientists, AI developers, chief data officers (CDOs), IT managers, data engineers, compliance and risk management professionals, and data stewards. The session begins by emphasizing the importance of data governance in AI, demonstrating how structured data management ensures the accuracy, integrity, and security of data used in AI models. The session then explores AI governance, addressing ethical considerations, frameworks, and standards to mitigate risks such as bias and accountability issues in AI systems. The webinar also covers key challenges, including regulatory compliance and managing bias, followed by a discussion on future trends such as increased automation and the evolving regulatory landscape in AI governance. Participants will gain a clear understanding of the importance of data and AI governance, with an emphasis on frameworks to mitigate risks like bias and regulatory non-compliance. Attendees will also learn about the interconnection between data governance and AI through a real-world case study and explore future trends and challenges. Additionally, the webinar will showcase how Informatica's tools can support the implementation of effective governance strategies, ensuring ethical and transparent AI outcomes.
Here is the agenda for this session:
  • Data governance and its importance in AI
  • AI governance & frameworks
  • Interconnection between data governance and AI
  • Case study and implementation through IDMC
  • Challenges in implementing data and AI governance
  • Future trends in data and AI governance
  • Conclusion
  • Q&A
     
Speaker and Speaker Details:
  • Anita Ayyagari, Senior Solutions Architect, CSA

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