Discussion Highlights with Kenneth Bible, CISO @ U.S. Department of Homeland Security (recently retired)

*AI Impact: Ken shares how artificial intelligence, particularly Generative AI, impacts cybersecurity and data privacy.

*Collaboration: Partnerships between cybersecurity, privacy, and legal are crucial for addressing concerns that exist in both cybersecurity and civil rights communities.

*Zero Trust: What this means and how it applies to AI.

*Securing the AI Environment: Addressing challenges of securing where AI models are trained.

*Adopting AI Monitoring Tools: Observability and alerting mitigate against the risks of GenAI, LLMs, and machine learning.

*Opportunities for Productivity: Despite risks, embracing AI offers opportunities for productivity and efficiency improvements, particularly in mission critical areas.

*Story Time: Ken shares a story from his past about conceptualizing the tactical cloudlet, highlighting industry's response to military needs and the evolution of edge computing.

*Leadership and Legacy: Discussion around the importance of creating and fostering new leaders in the cybersecurity field.

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Discussion Points with Bjorn Austraat, Top AI Voice on LinkedIn

*Background as an “AI Veteran” - Bjorn’s background in AI, from early work in machine translation to contributions to IBM's Watson and roles at Wells Fargo and Truist.

*Elegant Simplicity - The importance of effectively translating between business executives and data scientists to improve project success rates and the idea of “Elegant Simplicity” to reduce unnecessary complexity and to enhance understanding and decision making.

*Communication in AI - Challenges of defining AI and the importance of creating a common language between technical and business teams for effective collaboration.

*The 4D Framework - Dollars, Data, Differentiation, and Deployability to evaluate AI ideas, prioritize, and scale across large organizations.

*Measuring the 4Ds - Standardizing measures for the 4Ds to make objective decisions about AI projects while reducing emotional bias.

*Model Governance and Communication - Using the 4D framework for governance and how effective communication is key to successful project management and regulatory compliance.

*Adapting to Generative AI Innovations - Reflections on the rapid advancements in Generative AI and the necessity for leaders to confidently navigate changes and innovations.

*AI Observability – MLOps, the importance of responsible AI, and how a monitoring and explainability layer through Fiddler.AI can be used

*Communication Strategies for Long-term Projects - Insights into maintaining engagement and relevance through strategic communication throughout the lifecycle of AI projects.

*Enterprise AI Strategy - Outlining the 5 main components of a comprehensive enterprise AI strategy, emphasizing the importance of considering the end-to-end model lifecycle.

*Build vs. Buy Decision Making - Thoughts on deciding when to build in-house solutions versus partnering or buying, based on the core relevance to the business.

Relevant links, posts, and articles referenced in the podcast:

Bjorn’s LinkedIn profile

The AI Nexus

AI Strategy in a box

Project sourcing, sifting, sequencing: 4Ds, Disruptive vs. Incremental Innovation, Horizon 1/2/3 thinking

Evident AI Index

Recommended Conference: Evident AI Symposium

Recommended Books:

Four Thousand Weeks - Time Management for Mortals

Save the Cat!

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I’m speaking at the Privacy Enhancing Technology Summit in NYC in May

Want a free ticket? Send me a message on LinkedIn and I’ll hook you up!

Thank you for reading our show notes.

Sending hugs and high fives!

Top Takeaways from Adhiraj Saxena, Privacy Enhancing Technologies at IMDA and Personal Data Protection Commission Singapore

• Help regulators understand how, why, and where sensitive data flows
• Use cases must be the driver of any PET-related discussions
• PET-based systems should have governance controls
• The community will work towards standards and best practices
• How fully homomorphic encryption, synthetic data, secure multiparty compute, and trusted execution enclaves are being used

Mastercard Case Study - IMDA PET Sandbox:
Preventing Financial Fraud Across Different Jurisdictions with Secure Data Collaborations


Meta Case Study - IMDA PET Sandbox:
Digital Advertising in a Paradigm without 3rd Party Cookies


Report on Key Insights:
Asia Tech x Singapore 2023 Roundtable on Privacy Enhancing Technologies


Conferences to attend:
Asia Tech x Singapore (ATxSG) in Singapore | May 2024



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