When Technology Goes Wrong
When Technology Goes Wrong
Podcast Description
When Technology Goes Wrong explores real-world tech failures to understand what happened and what we can learn, alongside the people involved and the experts who can help us unpack. From system outages to security lapses, each episode offers practical insights for building better technology - and using it effectively.
Hosted by Paddy Dhanda, Head of Product Discovery and Agile Practices at QA, the UK’s largest tech training provider. qaltd.substack.com
Podcast Insights
Content Themes
The podcast focuses on various topics related to technology failures, including data breaches, financial scams, and ethical dilemmas in tech. Examples include an examination of cryptocurrency mixers like Helix, the repercussions of data leaks leading to fake companies, and the controversial A-Level algorithm fiasco that affected UK students. Each episode aims to highlight lessons learned and the human impact of these technology failings.
When Technology Goes Wrong explores real-world tech failures to understand what happened and what we can learn, alongside the people involved and the experts who can help us unpack. From system outages to security lapses, each episode offers practical insights for building better technology – and using it effectively.
Hosted by Paddy Dhanda, Head of Product Discovery and Agile Practices at QA, the UK’s largest tech training provider.
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 Despite the hype around AI and data-driven decision making, many organisations are still stuck with outdated tools, siloed teams, and a lack of data literacy.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
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This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit qaltd.substack.com
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