Summary
In this conversation, Maribel Lopez and Jeetu Patel discuss the transformative potential of AI in business, the challenges organizations face in adopting AI, and the importance of security in AI applications. They explore the need for visibility, validation, and guardrails in securing AI, the rise of specialized AI models, and the future of AI agents in automating workflows. Patel emphasizes Cisco's commitment to innovation and the urgency for companies to embrace AI to remain relevant in a rapidly evolving landscape.

Takeaways

• AI is transforming business strategies across industries.
• CEOs are optimistic about AI but feel unprepared.
• Security practitioners face significant staffing shortages.
• AI can both complicate and simplify security challenges.
• Organizations must secure AI models and use AI for defense.
• Visibility, validation, and guardrails are essential for AI security.
• Specialized AI models can be more effective and cost-efficient.
• AI agents will enhance productivity and workflow automation.
• Cisco is innovating rapidly and operating like a startup.
• Companies must embrace AI to thrive in the future.

Chapters

00:00
The Exciting Intersection of AI and Business

02:47
Challenges in AI Adoption and Security

06:34
Securing AI: Visibility, Validation, and Guardrails

12:47
The Rise of Specialized AI Models

18:00
The Future of AI Agents and Automation

25:31
Cisco's Transformation and Innovation

31:10
Embracing AI: A Call to Action

Follow us at:

Jeetu Patel https://www.linkedin.com/in/jeetupatel/

Maribel Lopez https://www.linkedin.com/in/maribellopez/

In this episode, Maribel speaks with Shub Bhowmick, the CEO and Co-founder of Tredence on how its using AI internally and externally. Bhowmick also provides advice on what's important for enterprise buyers looking to leverage AI.

Takeaways

• The shift from proof of concept to proof of value is crucial for businesses.
• AI is enabling organizations to achieve more with fewer resources.
• Agentic solutions are becoming increasingly relevant in various industries.
• Internal innovations at Treatance are focused on developing interconnected AI agents.
• Organizations must prepare for a future where they need to do more with less.
• Crawl, walk, and run is a practical approach to AI implementation.
• Creating a robust monitoring and operations foundation is essential.
• Small language models can be more effective and cost-efficient than larger models.
• AI can significantly enhance productivity and creativity in the workplace.
• Health and personal well-being are important considerations in a fast-paced professional environment.

Sound Bites

• "Proof of value is the new proof of concept."
• "AI is enabling you to do more with less."
• "Agents are like smart interns, very analytical."
• "The speed of AI is moving much faster."
• "AI can 10x your productivity."
• "Crawl, walk, and run with AI implementation."
• "Small language models are the new thing."

Chapters

00:00
Introduction to Treatance and AI Trends

07:28
Emerging Use Cases in AI

11:46
Real-World Applications of AI in Business

18:33
Internal Innovations at Treatance

30:33
Advice for Organizations on AI Implementation

Summary

In this conversation, Maribel Lopez speaks with Markus Nispel about the integration of AI in networking solutions, particularly at Extreme Networks. They discuss the evolution of AI capabilities, the importance of data governance, and the role of AI in enhancing operational efficiency and security. Markus emphasizes the need for trust in AI systems and the potential of agentic AI to transform networking operations. The discussion also touches on the challenges of skill development and the future of AI in the industry.

Extreme Networks, trusted by tens of thousands of customers globally, delivers AI-native cloud networking solutions that seamlessly connect people, applications, data, and devices.

Info on Extreme Networks Platform One: https://www.extremenetworks.com/platform-one and an explainer video https://vimeo.com/1036922077/58472f1411?ts=0&share=copy.

Takeaways

• AI has been integrated into networking solutions for measurable business value.
• Data quality is crucial for effective AI implementation.
• Generative AI can significantly reduce the time for knowledge acquisition.
• Agentic AI combines various capabilities for enhanced networking solutions.
• Trust and transparency are essential for AI adoption in enterprises.
• AI can optimize security policy configurations and reduce attack surfaces.
• The orchestration of agents is vital for achieving automation in networking.
• AI's role in skill development is critical for new employees.
• The future of AI in networking will involve more autonomous systems.
• Continuous feedback loops enhance trust in AI systems.

Sound Bites

• "AI allows for a consistent support experience."
• "Data governance is critical for AI systems."
• "The orchestration of agents is key to automation."
• "Trust is essential for AI adoption in enterprises."
• "The future is dynamic with AI advancements."

Chapters

00:00 Introduction to AI in Networking

03:40 Evolution of AI Integration in Networking Solutions

06:54 Understanding AI's Unique Positioning in Networking

10:18 AI's Role in Skill Development and Knowledge Acquisition

13:02 Defining Agentic AI and Its Current Capabilities

16:54 The Importance of Orchestration in AI Systems

19:45 Addressing Trust and Resistance in AI Adoption

23:19 Demonstrating ROI from AI Implementations

25:29 Future of AI: The Rise of Agentic Systems