The Digital Storm Weekly Podcast

Many organizations still treat AI as an IT initiative.
Balazs Fejes believes that's exactly why so many AI programs fail.
In this episode of Digital Storm Weekly, we sat down with Balazs Fejes, CEO & President of EPAM Systems, to discuss why AI is forcing organizations to rethink leadership, operations, workforce design, and enterprise transformation.
One of his strongest messages:
AI is not transforming IT. It is transforming the business itself.
According to Balazs, AI initiatives stall when they remain isolated inside technology teams. Successful transformation requires active involvement from CEOs, CFOs, and business leaders because AI changes how organizations operate—not just the tools they use.
Some key insights from Balazs:
• AI transformation must be owned by the business, not just IT • Leadership engagement determines whether AI scales or stalls • Organizational culture remains the biggest barrier to adoption • AI requires redesigning business processes—not automating existing ones • Companies must move beyond pilots and begin enterprise-wide implementation • Talent development is the foundation of successful AI transformation • Change management matters just as much as technology
What makes Balazs' perspective valuable?
As CEO of EPAM Systems, he has led one of the world's largest engineering organizations through enterprise AI transformation while helping global companies redesign how they build, operate, and scale in the AI era.
If you're a CEO, CIO, board member, or business leader trying to move AI beyond experimentation into measurable business impact, this conversation is worth your time.
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🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲
🔗 YouTube: https://www.youtube.com/watch?v=o5k0E3LlVGk&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT
🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast
🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116
🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d
🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/
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👉 Love my content?
Dr Joerg Storm: https://www.linkedin.com/in/joergstorm/
Lucas Storm: https://www.linkedin.com/in/lucas-storm/
Paul Storm: https://www.linkedin.com/in/paul-storm/
🔗 Subscribe now: https://drstorm.substack.com/subscribe

Most AI conversations focus on tools, models, and productivity.
Dr. Patrick Simon focuses on something else entirely:
Who captures the value.
In this episode of Digital Storm Weekly, we sat down with Dr. Patrick Simon, former Senior Partner at McKinsey and now a technology investor, to discuss how AI is reshaping corporate strategy, competitive advantage, productivity, and global economic power.
This conversation goes far beyond AI implementation.
It explores how leadership, organizational culture, incentives, and strategic positioning will determine which companies thrive—and which fall behind—in the AI era.
Some key insights from Patrick:
• AI is changing value chains, not just business processes • Strategy increasingly starts with understanding what AI makes possible • Leadership courage matters more than perfect data • AI-driven productivity gains can create enormous enterprise value • Culture, incentives, and execution matter more than vision alone • Europe risks falling behind due to excessive regulation and technology dependence • Companies must play to win, not simply protect what they already have • The biggest AI opportunity is creating competitive advantage, not just efficiency
What makes Patrick’s perspective valuable?
He spent over two decades advising CEOs and boards at McKinsey on large-scale transformations before moving into venture investing, where he now evaluates emerging technology companies and AI-driven business models firsthand.
If you are a CEO, board member, founder, investor, or business leader trying to understand how AI is changing competition and value creation, this episode is worth your time.
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🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲
🔗 YouTube: https://www.youtube.com/watch?v=o5k0E3LlVGk&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT
🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast
🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116
🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d
🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/
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👉 Love my content?
Dr Joerg Storm: https://www.linkedin.com/in/joergstorm/
Lucas Storm: https://www.linkedin.com/in/lucas-storm/
Paul Storm: https://www.linkedin.com/in/paul-storm/
🔗 Subscribe now: https://drstorm.substack.com/subscribe

Most AI conversations focus on tools, models, and productivity.
Dr. Patrick Simon focuses on something else entirely:
Who captures the value.
In this episode of Digital Storm Weekly, we sat down with Dr. Patrick Simon, former Senior Partner at McKinsey and now a technology investor, to discuss how AI is reshaping corporate strategy, competitive advantage, productivity, and global economic power.
This conversation goes far beyond AI implementation.
It explores how leadership, organizational culture, incentives, and strategic positioning will determine which companies thrive—and which fall behind—in the AI era.
Some key insights from Patrick:
• AI is changing value chains, not just business processes • Strategy increasingly starts with understanding what AI makes possible • Leadership courage matters more than perfect data • AI-driven productivity gains can create enormous enterprise value • Culture, incentives, and execution matter more than vision alone • Europe risks falling behind due to excessive regulation and technology dependence • Companies must play to win, not simply protect what they already have • The biggest AI opportunity is creating competitive advantage, not just efficiency
What makes Patrick’s perspective valuable?
He spent over two decades advising CEOs and boards at McKinsey on large-scale transformations before moving into venture investing, where he now evaluates emerging technology companies and AI-driven business models firsthand.
If you are a CEO, board member, founder, investor, or business leader trying to understand how AI is changing competition and value creation, this episode is worth your time.
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🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲
🔗 YouTube: https://www.youtube.com/watch?v=0pLAr2wN-Tw&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT
🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast
🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116
🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d
🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/
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👉 Love my content?
Dr Joerg Storm: https://www.linkedin.com/in/joergstorm/
Lucas Storm: https://www.linkedin.com/in/lucas-storm/
Paul Storm: https://www.linkedin.com/in/paul-storm/
🔗 Subscribe now: https://drstorm.substack.com/subscribe

AI sounds impressive in boardrooms.
But on a racetrack, bad AI decisions fail immediately.
In this episode of Digital Storm Weekly, recorded directly from the European Le Mans Series in Barcelona with United Autosports, we brought together leaders; Jeff Austin — CEO, ID8 Global, Haider Al-Seaidy — CCO, Cyferd, and Kevin Auchoybur — Managing Director, IPA to explore what happens when AI enters high-pressure operational environments where speed, precision, and decision quality actually matter.
This conversation goes far beyond AI hype.
It explores how embedded AI, real-time workflows, governance, and defensible innovation frameworks are reshaping enterprise decision-making itself.
Some key insights from the episode:
• Most organizations still struggle to define clear AI ROI • Racing compresses decision-making into minutes instead of quarters • AI should augment critical decisions, not fully replace humans • Real enterprise value comes from workflow integration, not isolated tools • Innovation without evidence creates invisible value leakage • Explainability and governance are becoming non-negotiable • Legacy systems and sunk-cost thinking are slowing AI adoption • Companies over-focus on AI stories while under-building operational foundations • The future belongs to organizations that move fast without sacrificing trust
One of the strongest points made during the episode:
“If it works in racing, it’s going to work in the corporate world.”
Why?
Because racing exposes whether intelligence is actually usable under pressure.
If you are a CEO, COO, CIO, operator, or enterprise leader trying to understand what real-world AI adoption actually looks like beyond pilots and dashboards, this episode is worth your time.
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🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲
🔗 YouTube: https://www.youtube.com/watch?v=0pLAr2wN-Tw&list=PLIUBbSI0VTk1JbL_8U7AciTe-6nCLKaKT
🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast
🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116
🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d
🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/
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👉 Love my content?
Dr Joerg Storm: https://www.linkedin.com/in/joergstorm/
Lucas Storm: https://www.linkedin.com/in/lucas-storm/
Paul Storm: https://www.linkedin.com/in/paul-storm/
🔗 Subscribe now: https://drstorm.substack.com/subscribe

Enterprise software is no longer just being upgraded.
It is being fundamentally reinvented.
In this episode of Digital Storm Weekly, we sat down with Mike Sutcliff, CEO of Thoughtworks, to discuss how AI/worksᵀᴹ is reshaping the software development lifecycle through reverse engineering, spec enrichment, autonomous agents, and AI-native architectures.
This conversation goes far beyond coding assistants and automation.
It explores how AI is changing the economics of software itself — from build and maintenance to modernization and enterprise operations.
Some key insights from Mike:
• Traditional software maintenance models are economically broken • AI-native software lifecycles can dramatically reduce technical debt • Reverse engineering + spec enrichment + spec-to-code changes modernization entirely • AI agents can accelerate enterprise software transformation at unprecedented speed • Maintenance contracts may eventually disappear through self-evolving systems • Enterprise AI success depends on architecture, governance, and engineering discipline • Agentic systems are powerful but still highly immature and risky without controls • The future of enterprise technology is continuous evolution, not periodic replacement
What makes Mike’s perspective valuable?
He has led digital transformation at global scale across Accenture Digital, AI startups, and now Thoughtworks — one of the companies that helped shape modern agile software engineering itself.
If you are a CEO, CIO, engineer, founder, or enterprise operator trying to understand where enterprise AI is actually heading, this episode is worth your time.
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🎧 𝗟𝗶𝘀𝘁𝗲𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗵𝗲𝗿𝗲
🔗 YouTube: https://www.youtube.com/channel/UC56OPvjqyxXfwj3lfNHNG0Q
🔗 Amazon Music: https://music.amazon.com/podcasts/a8ccad06-05d4-45e9-9f69-a4b6eacd77c7/the-digital-storm-weekly-podcast
🔗 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-digital-storm-weekly-podcast/id1867227116
🔗 Spotify: https://open.spotify.com/show/779CC9Nn8coXth0tNjlt2d
🔗 RSS: https://rss.com/podcasts/the-digital-storm-weekly-podcast/
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👉 Love my content?
Dr Joerg Storm: https://www.linkedin.com/in/joergstorm/
Lucas Storm: https://www.linkedin.com/in/lucas-storm/
Paul Storm: https://www.linkedin.com/in/paul-storm/