The Agentic AI Podcast
Navigate the fast-moving world of AI agents, automation, and intelligent workflows with The Agentic AI Podcast. Hosted by Dave, a long-time voice and AI specialist with more than 20 years of industry experience, this podcast explores real-world AI deployments, autonomous agents, voice technology, operational automation, and the future of agentic systems.
Each episode breaks down practical use cases, emerging trends, business strategies, security challenges, and the lessons learned from deploying AI in real organisations. From AI voice agents and workflow automation to governance, compliance, and customer experience, the podcast focuses on what works in the real world.
If you are building AI systems, exploring autonomous agents, or looking to understand where AI is heading next, The Agentic AI Podcast keeps you informed, practical, and ahead of the curve.
📣 Get in Touch
Have a question about AI agents, voice technology, or automation for your business? Want to collaborate or appear on the podcast? Dave would love to connect.
- 📞 Book a Call: Schedule a 30-min chat
- 🔗 LinkedIn: Dave
- 💬 Text "Just ask Dave"
The Agentic AI Podcast
Cloud vs On-Premise for AI
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This episode exposes the uncomfortable truth: 90% of companies choose their AI infrastructure based on habit, not strategy — and it’s costing them millions.
The presenters unpack why both cloud and on-premise AI deployments are riddled with hidden risks and invisible costs. Cloud AI is often launched without proper security controls, leading to major vulnerabilities, foreign data processing, and long-term cost blowouts. Some organisations see their cloud bills triple by year three due to unexpected data-processing volume and “add-on creep.”
On the other side, on-premise AI is frequently underestimated — with power, cooling, hardware replacement, and specialist staffing pushing real costs 40% above expectations. Some data centres are literally spending more on cooling than on the AI itself.
The conversation highlights how industries like manufacturing are shifting to hybrid models, using cloud for speed and imaging workloads while keeping sensitive IP on-prem. But managing hybrid environments requires rare talent — engineers who understand cloud, on-prem, and security — often commanding $200k+ salaries.
The real breakthrough discussed is the rise of “intelligent hybrid AI systems.” These automatically route workloads between cloud and on-premise based on real-time performance, security, and cost analysis. Companies using this approach are cutting AI infrastructure expenses by 45% while improving security.
The biggest takeaway:
Choosing cloud or on-prem is no longer an IT decision — it’s a strategic business decision.
Companies that treat it as a technical checkbox are three times more likely to fail.
Those that plan properly, measure performance/security/cost together, and adopt intelligent hybrid models are winning.
The future isn’t Cloud vs On-Prem.
It’s adaptive, strategic, hybrid AI designed for performance, protection, and long-term efficiency.
📣 Get in Touch
Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.
- 🌐 Website: ai-voice.ai
- 📞 Book a Call: Schedule a 30-min chat
- 🔗 LinkedIn: Dave
- 💬 Text "Just ask Dave"
