Heather Dawe, Chief Data Scientist, UST On Scaling Responsible AI For Real Business Impact скачать в хорошем качестве

Heather Dawe, Chief Data Scientist, UST On Scaling Responsible AI For Real Business Impact

Description with Timestamps Scaling Responsible AI: From Public Sector Foundations to Enterprise Impact In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge speaks with Heather Dawe, Chief Data Scientist, UK and Head of Responsible AI at UST, about what it truly takes to move AI from experimentation to measurable, trustworthy business outcomes. Drawing on over two decades of experience across government, healthcare, and enterprise environments, Heather offers a grounded, practical view of how AI maturity is built over time, not through hype but through discipline, governance, and people-centric leadership. Heather begins by tracing her journey from a mathematics background into software engineering and large-scale systems at IBM, followed by roles in retail technology and eventually a pivotal shift into government statistics. At a time when “data science” did not yet exist as a formal discipline, she combined statistical modeling with computational systems to solve real-world problems. This foundation became especially significant during her decade-long tenure in the UK’s National Health Service, where she built and led the first data science team in the UK public sector. Her work involved processing millions of rows of sensitive healthcare data to develop risk-adjusted indicators, including hospital mortality metrics, with explainability embedded directly into the models. This early exposure to high-stakes decision-making shaped Heather’s deep commitment to responsible AI. She explains how working with sensitive health data made fairness, transparency, and accuracy non-negotiable, long before ethical AI became a mainstream conversation. These principles now guide her enterprise work at UST, where she helps organizations balance AI innovation with risk management, governance, and long-term trust. The conversation then shifts to a challenge many organizations face today: AI pilots that look impressive but fail to deliver sustained value. Heather emphasizes that AI should never exist for its own sake. Instead, leaders must tie AI initiatives directly to business strategy, define measurable KPIs, and continuously demonstrate return on investment. She explains how value measurement creates a virtuous cycle, enabling organizations to justify further AI investment while avoiding stagnation at the proof-of-concept stage. The episode concludes with personal reflections on leadership, diversity, and advice for the next generation of AI leaders. Heather encourages aspiring data professionals to bring their authentic selves to work, arguing that diversity of thought is essential for innovation and ethical decision-making. Why This Conversation Matters Right Now: • Enterprises are struggling to scale AI beyond pilots • Responsible AI is now a board-level concern • Measuring value is critical to sustained AI investment • Leadership and culture determine AI success as much as technology. Who Should Watch: • CIOs, CTOs, and Chief Data Officers • AI and data science leaders scaling enterprise AI • Business leaders seeking measurable AI ROI • Professionals interested in responsible and ethical AI About the Guest: Heather Dawe is Chief Data Scientist, UK and Head of Responsible AI at UST. With over 25 years of experience across government, healthcare, and industry, she is a recognized leader in responsible AI, enterprise data strategy, and ethical technology adoption. Heather has appeared on major media platforms, spoken at global forums on AI ethics, and continues to advocate for diversity in STEM and the responsible use of AI at scale. 🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSub 🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com ---------------------------------------------- Stay connected with TechDogs: LinkedIn:   / techdogs-inc   Facebook:   / techdogsinc   Instagram:   / techdogs_inc   Twitter: https://x.com/TechDogs_Inc Pinterest:   / techdogs_inc