Ep. 253 Meeting the AI Implementation Challenge – Securely
About this episode
The episode discusses the challenges of implementing AI in agencies, focusing on infrastructure, budgeting, and planning.
Artificial intelligence is evolving so quickly that agencies often find it difficult to plan for future implementations. This week on Feds At The Edge , we dive into the importance of flexible infrastructure, realistic budgets, and thoughtful planning to successfully adapt to continuously evolving AI models. Sumit Puri, CSO and Co-Founder of Liqid, shares that while 86% of data resides on-premises, leaders also need to understand how the other 14% is being managed. He breaks down the key security, privacy, compliance, and performance considerations organizations should keep in mind. Ariana Tifft, Chief Data Scientist with the DoD Cyber Crime Center, explains how understanding existing resources and future requirements enables real-time planning and improved workload efficiency. Tune in on your favorite podcast platform to hear their insights, along with perspectives from experts at Optiv + ClearShark, on balancing what you have, knowing what you need, and maximizing results.
People in this episode
Guests: Sumit Puri, Ariana Tifft
Topics covered
- AI implementation
- security
- privacy
- compliance
- performance
- infrastructure
- budgeting
Keywords
- artificial intelligence
- data management
- workload efficiency
- real-time planning
- security considerations
- privacy compliance
- performance metrics
Mentioned in this episode
Organizations: Liqid, DoD Cyber Crime Center, Optiv, ClearShark
More episodes of Feds at the Edge
- Ep. 257 The Importance of Zero Trust Architecture
- Ep. 256 Maintaining Supply Side Risk
- Ep. 255 Responding to Ransomware
- Ep. 254 The Future of 6G
- Ep. 252 Addressing Security Holes in Air Gapped Environments.
- Ep. 251 How to Translate AI into Stronger Cybersecurity
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