A Beginner's Guide to AI

🎙️ In this episode of Beginner’s Guide to AI, Dietmar Fischer talks with Samantha Mehta, solutions engineering leader at AIRIA, about how companies can adopt AI without losing control. If your teams are already experimenting with ChatGPT and AI tools, the real question is not “Should we use AI?” but “How do we use it safely, visibly, and profitably?”

Samantha explains what enterprise AI security looks like in real life, including AI guardrails that can audit, block, redact, and replace sensitive data. She also unpacks AI governance and AI observability, because you cannot manage what you cannot see. A key theme is shadow AI and AI sprawl: people will use AI anyway, so organizations need sanctioned paths that reduce risk while accelerating adoption.

On the practical side, this conversation goes deep on agentic workflows. Samantha describes how agents become more than prompts through routing, actions, approvals, looping over documents like CSVs, and scheduled runs that create repeatable outcomes. From internal GPT alternatives to workflows that touch expenses, supply chain planning, and customer support, the episode is packed with grounded examples and a clear starting path.

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About Dietmar Fischer:
Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

Chapters
00:00 Welcome and why Samantha got into AI
01:26 What ARIA does: build, test, secure, deliver enterprise AI
02:19 Real use cases from simple internal GPT to complex workflows
08:27 How to start: guardrails first, then build your first agent
11:32 Agentic workflows explained: routing, actions, human in the loop
17:12 Why security and governance matter and why blocking fails
31:14 AI sprawl and shadow AI: monitoring and risk management
40:00 Wow use cases and the future: Blade Runner, change, and jobs
48:42 Where to find Samantha and ARIA

Quotes from the Episode
🪧 “I personally can’t think of a case where an LLM needs to know my social security number.”

🪧 “People are going to use it no matter what. If you don’t enable safe usage, they’ll still use it.”

🪧 “Agentic workflows are so much more than just ping an LLM and get a response.”

🪧 “I always say: build, test, secure, and deliver your usage of AI.”

Where to find Samantha:
➡️ LinkedIn: Samantha Mehta on LinkedIn
➡️ Company: look at what AIRIA does

Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.

AI is transforming the real estate industry — but what does that really mean for agents on the ground? In this episode of Beginner’s Guide to AI, host Dietmar Fischer sits down with Andrew Reville, founder of PeakAgent, to explore how artificial intelligence is reshaping the way agents work, market, and connect with clients.

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From the challenges agents face with lead generation to the opportunities of AI-powered tools, Andrew shares his journey from realtor to tech founder and reveals why the future of real estate belongs to those who embrace AI, not fear it.

🔑 Key Highlights
Andrew Reville’s journey from agent to AI entrepreneur

The real pain points of real estate agents — and how AI can fix them

AI tools for real estate agents 2025 and why they matter

How generative AI will transform real estate valuation and marketing

The future of property listings, client relationships, and agent workflows

💬 Quotes from the Episode
“We didn’t want to just build another AI tool — we wanted to solve real pain points for real estate agents.”

“The dream of being an agent often fades when the reality of chasing leads and endless follow-ups hits.”

“AI in real estate isn’t about replacing agents — it’s about giving them back the time and energy to love their job again.”

“I’ve spoken with dozens of agents, and the question I always ask is: what would make you fall back in love with being an agent?”

“Generative AI has the potential to completely change how we value, market, and sell properties.”

“The future of real estate belongs to agents who embrace AI, not fear it.”

⏱️ Chapters (experimental feature)
00:00 Welcome & Introduction of Andrew Reville
05:30 Andrew’s Journey: From Real Estate Agent to AI Entrepreneur
12:15 Discovering the Potential of AI in Real Estate
19:40 Building PeakAgent: Solving Pain Points for Agents
27:50 The Harsh Realities of Being a Real Estate Agent
36:20 How AI Can Help Agents Fall Back in Love with Their Work
44:45 Generative AI and the Future of Property Valuation
52:10 AI Marketing Strategies for Real Estate in 2025
59:00 Final Thoughts and Andrew’s Advice for Agents

🌐 Where to find Andrew Reville
🔗 Website: PeakAgentAI.com
🔗 LinkedIn: Andrew Reville
📸 IG: @peakagentai
🧑‍🦰 Personal IG: @andrew_reville
🚀 Paper&Purpose - help Andrew doing good deeds: www.paperandpurpose.me

✨ Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter!
🎶 Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.

Boobesh Ramaurai on the Future of Data and AI

In this episode, I sit down with Boobesh Ramaurai of LatentView to explore the future of data and AI—from his early days in analytics to today’s transformative AI landscape. Boobesh shares how curiosity led him into the world of analytics back in 2006, why execution is more important than ideas, and how data-driven decision making is reshaping businesses across industries.

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We dive into the real-world impact of AI, the challenges organizations face when adopting data strategies, and what it means to build human-centered AI with responsibility and ethics in mind.

If you want expert insights into AI in business, responsible AI implementation, and the future of data and AI, this conversation is a must-listen.

➡️ Key Highlights
Boobesh Ramaurai’s journey from analytics to AI leadership
How businesses can harness data-driven decision making with AI
Why execution beats ideas in the world of innovation
The growing importance of human-centered AI and responsibility
What’s next for the future of data and AI

🧾 Quotes from the Episode
“I always say that it is not the idea that really is valuable. It is the execution—that’s the magic and the secret sauce.” — Boobesh Ramaurai

“It was fascinating to see how people were using data and capturing data to answer business questions—that curiosity is what pulled me into AI.” — Boobesh Ramaurai

🔗 Where to find Boobesh Ramadurai
LinkedIn: linkedin.com/in/boobesh/
LatentView's Website: latentview.com

Tune in to get my thoughts, and don’t forget to subscribe to our Newsletter: 💌 beginnersguide.nl

Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.

🚀 In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Naga Santhosh Reddy Vootukuri (aka Sunny), a Principal Software Engineering Manager at Microsoft working on Azure SQL deployment infrastructure. Sunny shares his personal journey into AI, from early ChatGPT experiments in late 2022 to using AI tools in production workflows, and what actually changed his day to day work.

💡 You’ll hear how he thinks about GitHub Copilot inside Visual Studio, where it saves time, and where engineers still need to slow down and verify outputs. The episode also goes beyond coding into leadership and adoption: how managers can help teams use AI responsibly, and why showing outcomes and numbers matters more than hype. Sunny also connects the dots to the broader industry shift toward AI agents and structured tooling like GitHub Models and Docker’s evolving AI ecosystem.

✅ Key takeaways you can use immediately
Practical AI adoption for engineers and managers
GitHub Copilot productivity in real workflows, not demos
Why AI code can look correct and still be wrong, and how to respond
The rise of AI agents and what it means for everyday teams
How GitHub Models lowers friction for evaluating models and prompts
Why Docker is leaning into agent workflows and developer productivity

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About Dietmar Fischer:
Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

🎬 Chapters
00:00 Welcome and Sunny’s background at Microsoft and Azure SQL deployment
00:53 What pulled him into AI from ChatGPT experiments to real workflows
07:50 AI tools and jobs, building websites faster and empowering non devs
10:56 GitHub Copilot in Visual Studio, how it changes daily coding
19:40 The AI adoption gap, why many still do not use AI and the rise of agents
38:45 Docker Captain, GitHub Models, and building agent workflows without heavy setup
42:22 Trust, privacy, and the future facing questions to close the episode

💬 Quotes from the Episode
“I recently wrote an article also on Business Insider… how I can save, like, 60% to 70% of my time doing… repetitive tasks.”
“Lead by example and lead with numbers… show the actual data… this is how it really improved my productivity.”
“Earlier, AI also doing a lot of hallucination… it was generating all crappy code… you have to go and iterate multiple times.”

🔎 Where to find the Guest
Docker profile: docker.com/contributors/naga-santhosh-reddy-vootukuri/
GitHub: github.com/sunnynagavo
Speaker profile: sessionize.com/naga-santhosh-reddy-vootukuri/
Redgate community ambassador profile: red-gate.com/hub/community/ambassadors/ambassador/Naga-Vootukuri/
And of course LinkedIn 😉: linkedin.com/in/naga-santhosh-reddy-vootukuri-5a67a133/

Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.

AI Leadership for the Agent Era: Building Hybrid Organizations with Dominic von Proeck

AI is entering its operational phase. In this episode, Dominic von Proeck, Co-Founder of Leaders of AI, breaks down what AI transformation looks like when you stop collecting prompts and start building agent-powered teams.

We talk about why owner-led companies and the German Mittelstand can move faster than many expect, and why the most important capability is not technical wizardry but leadership: clear delegation, strong feedback loops, and critical thinking about every AI output.

Dominic shares how their organization runs AI assistants with real operational discipline, including onboarding, documentation, and even personality profiles, plus the emerging pattern of AI managers that lead other agents.

If you want practical guidance on AI agents in business, hybrid organizations, and adoption that sticks, this conversation delivers an unusually concrete operating model.

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About Dietmar Fischer:
Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com

Chapters
00:00 Dominic’s AI origin story and why AI transformation matters now
03:10 Mittelstand impact, demographics, and why owner-led firms can move fast
06:10 Adoption reality: AI at home vs at work and the companion effect
08:10 Leadership as the key skill for managing AI assistants and hybrid teams
14:10 The stack and the operating model: agent files, Airtable layer, self-hosting and n8n
17:05 Fear, pain points, and the real path to organization-wide AI adoption
24:00 2026 and the shift from prompts to agents, plus AI managers leading other agents
35:25 Matrix education, flow learning, and what ethical progress looks like
40:45 Where to find Dominic and Leaders of AI

Quotes from the Episode
“Prompting is 2025… in 2026, we should let the AI prompt.”
“One of the best antidotes to being afraid of anything is education.”
“To be honest, leadership skills.”

Where to find the Guest
Website: leadersofai.com
LinkedIn: linkedin.com/in/dominicvonproeck/
Programs: The MBAI program

Music credit: "Modern Situations" by Unicorn Heads
Hosted on Acast. See acast.com/privacy for more information.