Ep 677: The 3 Big Obstacles Holding AI Adoption Back
Everyday AI Podcast – An AI and ChatGPT Podcast
Using Machine Data to Unlock AI
Jeetu discusses machine time-series data, its growth, and how Cisco helps tie machine data to AI models for differentiation.
Jeetu Patel knows a few AI secrets.
As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap.
At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies.
So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks.
And naturally, Jeetu is gonna share it all with us.
The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu Patel
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Topics Covered in This Episode:
- Enterprise AI Adoption Rates & Challenges
- AI Workflow Automation Phase Explained
- Three Big Obstacles to AI Adoption
- Infrastructure Constraints for Enterprise AI
- Trust Deficit in AI Systems
- Data Gaps Impacting AI Success
- Measuring ROI on Enterprise AI Deployment
- Future Trends: Agentic AI and Original Insights
Timestamps:
00:00 AI Adoption Challenges in Enterprise
05:18 AI Adaptation: The Key Strength
08:56 AI Infrastructure and Trust Challenges
10:23 Building Trust and Harnessing Data
13:27 Unsatiated Demand Signals Growth
19:12 Proactive AI Model Safeguards
22:07 AI Strategy and Business Growth
26:09 Key Metrics for AI Success
28:10 Guardrails for AI Vulnerabilities
31:34 AI Unlocking Revolutionary Discoveries
Keywords:
AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprises
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