The Enterprise AI Show
The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]
As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
The Enterprise AI Show
Multi-Cloud Security
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Show: 384
Description: Aaron talks with Harry Sverdlove (@TheSecureWord, Founder & CTO Edgewise Networks) about the evolution of security to embrace both a micro-services and multi-cloud world.
Show Sponsor Links:
- Datadog Homepage - Modern Monitoring and Analytics
- Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
- Liquid Technology - IT Value Recovery
- Try CloudLast Service, get a free t-shirt and chance at Amazon Gift Card
Cloud News of the Week
- Dropbox picks up HelloSign for $230M
- Bosch investing 4 billion euro to accelerate building out their autonomous car division
- Cisco has announced ACI extensions into AWS and Azure as a “data center anywhere” solution
- VC funding in 2018
Show Interview Links:
Topic 1 - Briefly Introduce yourself and tell everyone a little bit about your background.
Topic 2 - The topic of security historically has been a weakness for Brian and I, let’s start at the start and cover a few base topics first. What are some of the big challenges customers are facing today in hybrid and public cloud?
Topic 3 - I came from the “secure the perimeter” world back in the day. How has this concept evolved and does it still apply to operations today?
Topic 4 - Are we evolving into an anomaly detection mindset going forward? How does AI/ML assist (if at all) in this area vs. historical trends and pattern matching?
Topic 5 - As applications move to more cloud native architectures joined with a loose coupling of microservice, how does this change play into approaching the problem?
Topic 6 - Last question, what implications does multi-cloud present?
Feedback?
- Email: show at thecloudcast dot net
- Twitter: @thecloudcastnet and @theserverlesscast
FEEDBACK?
- Email: show @ the enterprise ai show dot com
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