Bias in AI isn’t just a technical glitch - it’s one of the hardest problems in machine learning today. While many organisations treat it as a regulatory checkbox, the reality is that unchecked bias can damage trust, weaken systems, and cost businesses far more than they realise.

In this episode, host Joshua sits down with Raluca Crisan - data scientist, co-founder, and CTO of Etiq, to explore the real challenges of bias in AI, and what it takes to build systems that are ethical, robust, and genuinely useful.

Recognised as Women in AI Europe 1st Prize (2020) and named among the 100 Women in AI Ethics (2021), Raluca brings a rare perspective on how bias, adoption, and ethics intersect in real-world AI. In this conversation, she shares practical lessons on tackling bias, the pitfalls of “big data” buzzwords, and what the rise of copilots and agents means for the future of hiring.

In this episode, you’ll learn:

• Why bias in AI is more than a “checkbox” issue and how to address it meaningfully.
• The biggest adoption problem most AI testing tools overlook.
• How to balance commercial pressure with purposeful, ethical outcomes.
• What recruiters and data leaders need to know about new AI roles.
• The hardest part of doing something new in AI today from a founder’s perspective.

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In this episode I am joined by Dr Shorful Islam, co-founder and CEO of Be Data Solutions.

With over 20 years of experience in the data and AI industry, Dr. Islam has been applying machine learning since his Psychology PhD—before “data science” became mainstream. Since then, he has helped global companies develop data strategies and build predictive models that drive business growth.

He specialises in building data functions across organisations such as ITV and Wunderman and is the author of Data Culture, a book on integrating data as a fundamental organisational component.

Beyond his leadership at Be Data Solutions, Dr. Islam founded Subatomic Analytics and advises multiple startups on data and AI. His career includes roles as Chief Data Scientist at Tribal Worldwide, Managing Director at Stream Intelligence, and Managing Partner at Wunderman, along with leadership positions at adam&eveDDB/DDB and ITV. He also brings experience from the NHS and local government.

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On Episode 27 James Miller, Data & Digital Transformation Director at Anmut joins the discussion to talk about Maximizing the Value of your data. 

James has 25+ years’ experience in the data space. He has led data teams and built propositions at FTSE 50, 100 & 250 organisations, all the way to start-ups. On Episode 27 James Miller, Data & Digital Transformation Director at Anmut joins the discussion.

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Today we are joined by Wasim Mushtaq, With nearly two decades of leadership in financial services, Wasim has driven operational excellence, strategic transformation across global banks and innovative startups. He is the Founder & CEO of 1CG, Strategic Partner to Birdie, Advisory Board Member to Bankability and the Operational Excellence Society.

Josh and Wasim explore topics such as Leadership Strategy, leveraging AI and Operational Excellence, Transformational change, and a focus on Super Apps within the finance space.

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Today we are joined by Inez Hogarth, Managing Director of Data Understood, Inez has extensive experience across diverse industries such as Insurtech, health, and publishing, Inez has a proven track record of turning data into actionable insights that drive growth. She has supported award-winning digital projects and played a pivotal role in shaping public sector initiatives during crises like COVID-19.

Josh and Inez talk through the importance of , Digital and AI transformations, debunking common digital myths to shifting the focus from delivery speed to a culture of continuous learning.

Get ready for an inspiring conversation with Inez as we explore the vital intersection of humans and AI, and discover how you can drive meaningful change in your organisation!"

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As the data industry has grown in both size and influence over the last two decades, the role of the data leader has evolved to match this trajectory.

With many organisations now employing Chief Data Officers, should CDOs be, firstly, business leaders who can align data strategies with organizational goals and drive value? 

With many existing or aspirant CDOs following a data technology path in their careers to date, are they able to ensure that their voice is heard when organizational objectives are decided at a strategic level or are they more suited to the operational execution of these strategies?

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