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EM360 Podcast

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by EM360Tech

5.0(5 reviews)
364 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇬🇧
59

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
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Quality87
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Engagement76

Podcast Overview

Explore how tech is shaping the future of business and share best practices for implementing these innovations. With expert interviews, in-depth analysis, and practical advice, you'll stay ahead of the curve and make informed decisions for your enterprise. Join us to debunk myths, dive into the latest trends, and cut through the AI noise with “Tech Transformed.” Tune in and transform your understanding of technology and its potential.

Language

🇺🇲

Publishing Since

2/16/2021

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59

Podcast Authority

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FairBased on show quality, social media presence, reviews, charts, and more
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Quality87
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YouTube0
Engagement76
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Recent Episodes

Episode thumbnail for Can AI Modernise Legacy Systems? What Leaders Need to Know

July 27, 2026

Can AI Modernise Legacy Systems? What Leaders Need to Know

<p>AI is changing the conversation around legacy modernisation, but successful transformation demands far more than powerful models and automated code generation. It requires engineering discipline, governance, and a clear-eyed view of where AI genuinely adds value and where it doesn't.</p><p>On a recent episode of <a href="https://em360tech.com/podcasts/tech-transformed" rel="noopener noreferrer" target="_blank">Tech Transformed</a>, host <a href="https://www.linkedin.com/in/christinastathopoulos/" rel="noopener noreferrer" target="_blank">Christina Stathopoulos</a>, founder of Dare to Data, sat down with <a href="https://www.linkedin.com/in/shodhansheth/" rel="noopener noreferrer" target="_blank">Shodhan Sheth</a>, Enterprise Modernisation Platform and Cloud Lead, and <a href="https://www.linkedin.com/in/alessio-eros-f-585275b0/" rel="noopener noreferrer" target="_blank">Alessio Ferri</a>, Lead Software Engineer, both part of <a href="https://www.thoughtworks.com/?utm_source=em360tech&amp;utm_medium=digital-advertising&amp;utm_campaign=lmod_rp-gl-pspt_em360_2026-07&amp;utm_term=podcast" rel="noopener noreferrer" target="_blank">Thoughtworks'</a> Global Legacy Modernisation Service Development Team, to unpack exactly that.</p><h2>Legacy Modernisation With AI</h2><p>The conversation around AI in legacy modernisation is often muddied by marketing noise. As Sheth puts it, "value and hype can coexist". Overpromising doesn't automatically mean a technology is worthless. The real question for technology leaders is whether AI meaningfully improves the cost-time-value equation for a specific problem.</p><p>This will always start with problem-solution fitness: has someone already solved a comparable challenge with AI, and does the proposed use case genuinely fit that pattern? As Sheth notes, "most things can be judged by cost, time, and value", which is a simple but effective filter for cutting through the noise.</p><h2>Rethinking Legacy Modernisation</h2><p>Generative AI is inherently probabilistic, while enterprise software has always relied on deterministic, predictable behaviour. Ferri unpacks this tension by separating two very different use cases: using AI to build systems, and embedding AI within operational systems.</p><p>When AI writes code, inconsistency is manageable; developers review, test and refine the output before it ships. Production systems are a different matter entirely, where unpredictable behaviour carries real operational risk. As Ferri explains, "AI in production requires different guardrails than AI for building."</p><p>The practical answer is controlled use. AI might suggest alternative products in a marketplace, for instance, while deterministic rules still guarantee that only in-stock items are ever shown. This lets AI add value within a firm, enterprise-grade constraints.</p><h2>Why AI Alone Won't Modernise Legacy Systems</h2><p>Technology is only part of the story. Sheth is clear that modernisation is fundamentally about change, and change is hard, especially across large enterprises with tangled, interconnected systems. Tasks that resist automation are often the hardest, like upskilling teams, explaining complex trade-offs, and winning buy-in; these cannot be solved with code alone. These human and organisational factors are routinely underestimated. Where the impact of a change is broad, he also advises either aligning teams properly across the business or breaking the change into smaller, more manageable pieces, a strategy that reduces resistance and smooths the path to adoption.</p><p>If you would like to learn more about this, visit <a href="https://www.thoughtworks.com/?utm_source=em360tech&amp;utm_medium=digital-advertising&amp;utm_campaign=lmod_rp-gl-pspt_em360_2026-07&amp;utm_term=podcast" rel="noopener noreferrer" target="_blank">Thoughtworks</a> or connect with both <a href="https://www.linkedin.com/in/shodhansheth/" rel="noopener noreferrer" target="_blank">Sheth</a> and <a href="https://www.linkedin.com/in/alessio-eros-f-585275b0/" rel="noopener noreferrer" target="_blank">Ferri</a> on LinkedIn.</p><h2>Takeaways</h2><ul><li>Applying AI to modernise complex enterprise systems.</li><li>Distinguishing hype from practical AI applications.</li><li>Balancing probabilistic AI with deterministic enterprise software.</li><li>Organisational and leadership challenges in AI modernisation.</li><li>Building control, traceability, and abstractions in AI workflows.</li><li>Advice for CIOs and CTOs on AI adoption.</li></ul><br/><h2>Chapters</h2><p>00:00 Introduction to AI and Legacy Modernisation</p><p>01:18 Meet the Experts: Shodhan and Alessio</p><p>02:47 Distinguishing Hype from Value in AI</p><p>05:51 The Tension Between Probabilistic and Deterministic Systems</p><p>10:13 The Human Element in Modernisation</p><p>17:12 AI's Role in Enterprise Transformation</p><p>19:26 Distinguishing Hype from Value in AI</p><p>22:13 Probabilistic vs Deterministic Systems</p><p>27:45 People and Processes in Modernisation</p><p>29:03 Lessons in AI for Legacy Modernisation</p>

Episode thumbnail for CX Is Now AI's Proving Ground

July 21, 2026

CX Is Now AI's Proving Ground

Host Ravit Jain interviews Sneha Iyer, AI leader at Observe.ai, about why customer experience is AI's proving ground and how to navigate its complexities.

Episode thumbnail for How Multi-Die Designs and AI Are Reshaping the Industry

July 14, 2026

How Multi-Die Designs and AI Are Reshaping the Industry

Host Dana Gardner interviews Synopsys Executive Director Shekhar Kapoor about how multi-die designs and AI are reshaping semiconductor engineering and validation.

364 total episodes available with 125 transcripts

Recent guests on EM360 Podcast

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Sneha Iyer

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Shekhar Kapoor

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Graeme Gordon

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Meghna Punhani

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Eric Tschetter

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Darin Patterson

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Cathal McCarthy

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Dan Leiva

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Mihir Nanavati

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Kailin Noivo

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Rohit Nathany

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Lee Greene

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Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is EM360 Podcast?

Explore how tech is shaping the future of business and share best practices for implementing these innovations. With expert interviews, in-depth analysis, and practical advice, you'll stay ahead of the curve and make informed decisions for your enterprise.

Join us to debunk myths, dive into the latest trends, and cut through the AI noise with “Tech Transformed.” Tune in and transform your understanding of technology and its potential.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 10 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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