Episode Title: Digital Identity: Can the UK Get It Right This Time?

Podcast Host: Paddy Dhanda

Guest: David Birch, Author and Global Authority on Digital Identity

Episode Summary: Paddy Dhanda is joined by David Birch to explore the UK's renewed push for a national digital identity scheme. They discuss why the previous attempt failed, how technology and public attitudes have changed, and what a successful, privacy-preserving infrastructure could look like today.

Key Topics Covered: ✔️ Why the Blair-era ID scheme failed✔️ The difference between identification, authentication, and authorisation✔️ How cryptographic credentials can reduce fraud and friction✔️ The role of banks in identity infrastructure✔️ How AI will reshape identity and customer interaction

Resources & Links: 🔗 David Birch’s books: Identity is the New Money, The Currency Cold War, Money in the Metaverse🎧 Listen on Substack: qaltd.substack.com▶️ Watch on YouTube: QA Podcast Playlist🎧 Spotify: Listen here🍎 Apple Podcasts: Listen here

Episode Title:A Year of Tech Failures - and What They Can Teach Us

Podcast Host:Paddy Dhanda

Guest:Charlotte Jee, News Editor at MIT Technology Review

Episode Summary:In this episode, Paddy is joined by Charlotte Jee to explore MIT Technology Review’s annual list of the worst tech failures. From astronauts stranded in space to AI image generators gone rogue, the episode dives into the most memorable missteps of 2024 — and what they reveal about the state of modern technology.

Charlotte shares behind-the-scenes insights into how the list is compiled, the common patterns behind tech failures, and why humility, simplicity, and user empathy are more important than ever.

Key Topics Covered:

✔️ Boeing’s Starliner disaster and the fragility of modern tech ✔️ AI slop, shrimp Jesus, and the dangers of unchecked generative tools ✔️ CrowdStrike’s outage and the ripple effects of a single update ✔️ Why 80% of cloud features go unused - and what that says about product design ✔️ The growing disconnect between tech creators and users

Notable Quotes:

🔹 “Tech loves repeating the same mistakes - and we love pointing them out.” 🔹 “AI will always hallucinate. That’s not a bug - it’s the product.” 🔹 “We’re building faster than ever, but not necessarily better.”

Resources & Links:

🔗 Read the MIT Technology Review list: MIT Technology Review  🎧 Listen now on Substack, YouTube, or your favourite podcast platform.

Episode Title:

Why Most Companies Still Struggle with Data

Podcast Host:

Paddy Dhanda

Guest:

Amma Ainsley, Strategic Account Executive at Databricks

Episode Summary:

In this episode of When Technology Goes Wrong, host Paddy Dhanda is joined by Amma Ainsley from Databricks to explore one of the most common and costly tech failures of our time: the failure to make the most of data. Despite the hype around AI and data-driven decision making, many organisations are still stuck with outdated tools, siloed teams, and a lack of data literacy.

Amma shares her insights on how Databricks helps organisations overcome these challenges, the importance of data governance, and how generative AI is reshaping the future of analytics.

Key Topics Covered:

✔️ Why data maturity varies so widely across organisations

✔️ The role of data literacy and organisational culture

✔️ How Databricks unifies data without moving it

✔️ The impact of generative AI on analytics and decision-making

✔️ Advice for leaders looking to become more data-driven

Notable Quotes:

🔹 “If you want to thrive and survive in the current economy, you need to be good at data.” – Amma Ainsley

🔹 “You can have the best technology, but if the culture isn’t ready, it won’t work.”

Resources & Links:

🔗 Learn more about Databricks: https://www.databricks.com

🎧 Listen now on Substack, Spotify, YouTube, or your favourite podcast platform.

Episode Title:

When Technology Goes Wrong: The Rise and Demise of Helix – The First Big Dark Web Cryptocurrency Mixer

Podcast Host:

Paddy Dhanda

Guest:

Geoff White, investigative journalist, author of Rinsed, and host of The Lazarus Heist

Episode Summary:

In this episode of When Technology Goes Wrong, host Paddy Dhanda is joined by investigative journalist Geoff White to expose the story of Helix – the first major cryptocurrency mixer on the dark web. What began as a tool for privacy quickly became a hub for laundering billions in illicit funds.

Geoff, author of Rinsed and presenter of the BBC podcast The Lazarus Heist, explains how Helix operated, how its creator Larry Harmon profited from criminal activity, and how law enforcement finally brought the operation down – with the help of a Google Glass selfie.

Together, they explore the murky intersection of privacy, innovation, and criminal exploitation in the digital age.

Key Topics Covered:

✔️ What crypto mixers are and how Helix became the go-to tool for criminals✔️ How law enforcement traced Larry Harmon using blockchain forensics and Google Glass✔️ The ethical debate around privacy tools and their misuse✔️ The role of regulators and the challenges of policing the dark web✔️ Lessons for tech leaders, developers, and policymakers

Notable Quotes:

🔹 “It’s the ultimate. It’s a white glove privacy service.” – Geoff White🔹 “Every tech innovation opens up new space for money launderers to do their work in.”

Resources & Links:

🎙 The Lazarus Heist podcast – BBC Sounds📘 Rinsed by Geoff White – available on Bookshop.org, Amazon, and audiobook platforms🌐 More from Geoff White – geoffwhite.tech

🎧 Listen now and discover how a seemingly clever privacy tool became a global criminal enabler. If you enjoy the episode, please subscribe, rate, and review to support the show.

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Episode Title: When Technology Goes Wrong: The Shiseido Data Breach and the Rise of Fake Companies  Podcast Host: Paddy Danda  Guest: Graham Barrow, financial crime specialist, co-host of The Dark Money Files, and co-founder of Risk Alert 247 

Episode Summary: In this gripping episode of When Technology Goes Wrong, host Paddy Dhanda is joined by financial crime expert Graham Barrow to uncover the shocking ripple effects of data breaches. What begins as a leak of employee data quickly escalates into a sprawling web of fraud, with over 2,000 fake companies created using stolen identities. Graham shares how his obsession with uncovering fake companies led to the discovery of this massive fraud network—and why the UK’s company registration system is a goldmine for criminals. 

Together, they explore the vulnerabilities in corporate systems, the human cost of data breaches, and what needs to change to stop it. 

Key Topics Covered:  ✔️ How stolen HR data was used to create thousands of fake companies  ✔️ The role of Companies House   ✔️ Why corporate bank accounts are easier to exploit than personal ones  ✔️ The psychological and financial toll on victims  ✔️ What tech leaders and regulators must do to protect data  

Notable Quotes:  🔹 "You can create a company without anybody looking at the details." – Graham Barrow  🔹 "Criminals aren’t interested in stealing data—they’re interested in what the data can do for them."  🔹 "There’s always a victim. White-collar crime isn’t victimless."  

Resources & Links:  🎙 The Dark Money Files Podcast  🔍 Risk Alert 24/7   

🎧 Listen now to uncover how a single breach can spiral into a nationwide fraud epidemic. If you enjoy the episode, subscribe, rate, and review to support the show. 

Episode Title: When Technology Goes Wrong: The Missed Opportunity in Financial Services with David Pool 

Description: In this episode, Paddy Dhanda is joined by David Pool, Portfolio Director for Data and AI at QA, to explore the unique challenges facing the financial sector, in the data revolution. 

From Alpha data to the Internet of Things, and from fintech disruptors to legacy system inertia, this conversation dives deep into how financial institutions can—and must—adapt to stay competitive. 

What You’ll Learn: 

What “alpha data” is and why it matters 

How fintechs are leapfrogging traditional banks 

The role of AI and data storytelling in financial services 

Why personalisation is the new battleground 

How legacy systems are holding back innovation 

The dangers of “pilotitis” in AI projects 

Guest: David Pool – Portfolio Director for Data and AI at QA 

Host: Paddy Dhanda – Head of Product Discovery and Agile Practices at QA 

Episode Title: When Technology Goes Wrong: The 2020 A-Level Algorithm Fiasco

Podcast Host: Paddy Dhanda

Guest: Tom Chatfield, philosopher of technology and author of Wise Animals

Episode Summary: In this episode of When Technology Goes Wrong, host Paddy Dhanda takes a deep dive into the 2020 A-Level algorithm fiasco—a moment when imperfect technology impacted thousands of students across the UK. Paddy is joined by acclaimed philosopher of technology, Tom Chatfield, to unpack how an algorithm designed to grade students led to controversy, public backlash, and an eventual government U-turn.

Together, they explore the unintended consequences of algorithmic decision-making, what this story tells us about the relationship between humans and machines, and the critical lessons organisations can learn about implementing AI-driven systems.

Key Topics Covered:✔️ The 2020 A-Level grading system and its flaws✔️ How the algorithm disadvantaged certain students✔️ The balance between fairness, bias, and human oversight✔️ How technology influences education and decision-making✔️ Lessons organisations can take from this story

Notable Quotes:🔹 "Fairness is not just about a statistically sound result—it's about perception and human judgment." – Tom Chatfield🔹 "When technology is deployed without accountability, we risk making decisions that harm real lives."

Resources & Links:📖 Wise Animals by Tom Chatfield – Wise Animals – Tom Chatfield 🎧 Tune in now and explore the intersection of technology and fairness! Don’t forget to subscribe, rate, and review if you enjoyed the episode.

Episode Title: When Technology Goes Wrong: How OneCoin Fooled Millions

Podcast Host: Paddy Dhanda

Guest: Jamie Bartlett, investigative journalist, author and host of The Missing Crypto Queen

Episode Summary:In this episode of When Technology Goes Wrong, host Patty Danda sits down with investigative journalist Jamie Bartlett to uncover the shocking story behind OneCoin—the multi-billion-dollar Ponzi scheme disguised as the future of cryptocurrency. Jamie, the creator of The Missing Crypto Queen podcast, shares his in-depth research into the scam’s mastermind, Dr. Ruja Ignatova, who disappeared in 2017 and remains on the FBI’s Ten Most Wanted list.

Together, they unravel how OneCoin spread globally, why investors were convinced it was the next Bitcoin, and the crucial lessons about trust, technology, and financial scams.

Key Topics Covered:✔️ How OneCoin became a worldwide sensation✔️ Dr. Ruja Ignatova’s rise and disappearance✔️ Why regulators failed to stop the scam✔️ The psychology behind financial fraud and FOMO✔️ Lessons for tech leaders and investors

Notable Quotes:🔹 "Every major scam is an old trick disguised with new technology." – Jamie Bartlett🔹 "Trust in a product often comes from trust in the person selling it—whether deserved or not."

Resources & Links:🎙 The Missing Crypto Queen podcast – BBC Sounds - The Missing Cryptoqueen

🎧 Listen now and uncover one of the biggest financial frauds in history! If you enjoy the episode, subscribe, rate, and review to support the show.

🎙️ Episode Title: "What’s Holding the UK Back from AI Leadership?"

👤 Guest: Simon Lambert, Chief Learning Officer, Microsoft UK Leads strategy for digital skills and learning culture, driving initiatives like Microsoft’s Get On campaign and AI skilling partnerships.

🧠 Episode Summary: In this episode, host Paddy Dhanda explores the UK's ambition to become a global AI leader in conversation with Microsoft UK's Simon Lambert. They unpack the UK’s AI Action Plan, the critical role of AI literacy, and how tools like Microsoft Copilot are reshaping productivity. Simon shares insights on leadership, lifelong learning, and the evolving human-agent workplace dynamic.

💡 Key Topics Covered:

·       The UK’s AI Action Plan: infrastructure, adoption, skills, investment

·       Microsoft’s £2.5B investment in UK data centres

·       The Get On campaign and AI skilling goals

·       AI literacy for all - not just technologists

·       Leadership’s role in modelling curiosity and enabling learning

·       The rise of “agent bosses” and hybrid human-agent teams

·       Copilot use cases in healthcare, telecoms, and personal productivity

📌 Notable Quotes:

“AI skills are going to be a non-optional thing for people.” “Learning is a permanent requirement of work.” “If knowledge is power, then learning is a superpower.” — Jim KwikResources: Check out Microsoft’s Work Trend Index for 2025.