Navigating the Future of AI in Banking
Webinar agenda
- Identifying Skills for AI and Generative AI: Exploration of current and future training needs essential for financial institutions to thrive in the AI era.
- Addressing Skill Gaps: Strategies to manage and bridge skill gaps for effective AI model management within financial teams.
- Future Training Needs: Anticipating how AI training requirements will evolve over the next 1-2 years and the implications for the workforce.
- AI vs. Traditional Model Validation: Comparison of skill requirements for AI models versus traditional model validation techniques.
- Continuous Training: Emphasis on the necessity of ongoing training programs to keep pace with rapid AI advancements.
- Effective Training Programs: Examination of successful AI training initiatives, with a focus on comparing centralized versus decentralized training solutions.
- Mitigating Fraud Risks: Training AI teams to proactively identify and mitigate risks posed by AI-powered threats.
- Practical AI Risk Management: Discussion on applying theoretical concepts to real-world scenarios for robust AI risk management.
- Governance and Reliability: Integrating technological solutions to ensure effective governance and reliability of AI models in finance.
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Webinar Speakers
Chandrakant Maheshwari
Christopher Smigielski
