A Beginner's Guide to AI

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
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🚀 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
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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.

✨ Unlock a Future Where AI Inspires Leadership—not Replaces It

In this episode, Dietmar Fischer speaks with Ja-Naé Duane and Steven Fisher, co-authors of the book SuperShifts, about what leadership really looks like in the age of artificial intelligence. Instead of framing AI as just another technology trend, the conversation explores AI leadership as a systemic and human challenge. Drawing on their work with global organizations and executives during and after the pandemic, Ja-Naé and Steven explain why the biggest shifts are not driven by tools, but by how leaders rethink decision-making, responsibility, and organizational design.

The episode traces the origins of SuperShifts back to Covid, when existing systems suddenly stopped working. Ja-Naé Duane shares insights from working with CEOs across Europe who were already using machine learning, but struggled to use AI to meaningfully support leadership decisions. Together, the guests unpack why AI-first leadership requires more than efficiency gains. It demands clear governance, ethical accountability, and a shared understanding of who owns outcomes when humans and machines collaborate.

A central theme of the conversation is human-AI collaboration and why leaders must move beyond optimizing outdated structures. Steven Fisher introduces a systems-thinking lens, arguing that organizations need new frameworks rather than incremental improvements. The discussion highlights how AI changes leadership roles, why trust and transparency matter more than ever, and how possibility itself becomes a strategic asset in the age of intelligence.

Key takeaways include practical insights into AI leadership, the importance of systems thinking, and why SuperShifts offers a roadmap for leading through uncertainty. This episode is for anyone who wants to understand how leadership must evolve as AI becomes embedded in decision-making, work, and organizational culture.

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➡️ Key Highlights
Understanding AI-First Leadership through the lens of SuperShifts
The pandemic's role in inspiring new leadership frameworks and agile mindsets
Blending human values with AI-powered decision-making
Why systems thinking, foresight, and possibility are essential tools for modern leaders

🧾 Quotes from the Episode
- “The most successful leader won’t be the one who predicts the future—but the one who shapes it.”

- “In the Age of Intelligence, possibility itself becomes the most valuable capital.”

- “Our role as leaders is to bring humanity into the algorithm, not replace it.”

👓 Chapters (experimental)
00:00 Introduction – What is SuperShifts?
05:12 From Pandemic to Paradigm Shift: How SuperShifts Was Born
12:45 AI-First Leadership: Reimagining How We Lead
20:30 Human-AI Collaboration: Balancing Ethics and Innovation
28:10 Systems Thinking and SuperShifts Framework
35:00 Applied Strategies: Leading in the Age of Intelligence

🔗 Where to Find Ja-Naé Duane and Steven Fisher
Dr. Ja-Naé Duane: Ja-Nae.IO
Steven Fisher — StevenFisher.IO

And here you'll find:
SuperShifts: Transforming How We Live, Learn, and Work in the Age of Intelligence

Music credit: "Modern Situations" by Unicorn Heads
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AI adoption is not only a technology shift, it is a leadership and culture shift. In this episode, Dietmar Fischer talks with Bala Muthiah about AI leadership, the psychology behind AI resistance in the workplace, and the practical steps leaders can take to turn curiosity into day to day usage.

Bala shares why the human aspect still decides outcomes, even when the tools feel magical. You will learn how leaders can reduce fear, build confidence, and guide teams through real AI upskilling strategy instead of one off trainings that never translate into workflows. The conversation also touches on industry differences, including why sensitive domains like healthcare raise the bar for responsible AI adoption, and what the rise of agentic workflows means for the future.

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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 AI is a leadership moment
02:12 AI leadership in 2026: pressure, performance, and opportunity
04:41 The real barrier: fear, skepticism, and AI resistance at work
07:45 Industry realities: healthcare, sensitivity, and responsible adoption
17:50 A practical framework: upskilling people and building confidence
34:49 The next wave: agentic workflows and what leaders should prepare for
41:43 Where to find Bala and closing thoughts

💬 Quotes from the Episode

- “And to me, it’s still human, meaning us, we are still humans, leaders are still humans. The human aspect still stays.”

- “Again, I’m coming back to the people, like, because that’s gonna be the unlock for you. Upskill your people with AI tools.”

- “AI being, like, the car, or being the internet, being the electricity.”

🌍 Where to find Bala Muthiah:

- On his website: balamuthiah.com

- His Speaker profile: sessionize.com/bala-muthiah/

- LinkedIn: linkedin.com/in/balaarjunan/

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