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Federal Chief Data Officers must create data strategies that align with and support the Federal Data Strategy, their agency’s overall strategy and objectives, existing legislation, and external and internal guidance. And with the recent mandate for agency Chief AI Officers, CDOs must extend the scope of data governance, privacy controls, and risk management to encompass predictive and generative AI systems and processes.  This session will look at how a “Middle-Out Approach” to data strategy can achieve 360-degree alignment and provide the flexibility to accommodate emerging and fast-evolving opportunities like AI. The “arms race of AI” will soon reach an inflection point in organizations of every size and in every industry. At that point, the trustworthiness in AI systems will push the boundaries of responsible, explainable, and ethical AI.  CDOs must be conversant in AI Risk Management strategies so they can partner effectively with new Chief AI Officers required by the President’s recent Executive Order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.

Citizant’s Data and AI Strategy leaders will present approaches to these challenges that have been applied successfully at numerous Federal agencies. At the end of this session, attendees will have gained an understanding of:

• Citizant’s “Middle-Out Approach” to an Integrated, Flexible Data Strategy
• AI Risk Management Challenges and Drivers
• Risk Mitigation Strategies as part of AI Risk Governance

Speakers

Moderator: Alba Aleman

CEO, Citizant

Panelist: kartik dave

Data Analytics Solutions Leader, FDIC/Citizant

Panelist: andie srivastava

Senior Data Architect & Strategist, Citizant