Kiran Bal
Employers on the program
- 2026Lloyds Banking Group2 talks
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Big Data LDN
- Gartner Data & Analytics Summit
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Leading Through the AI Era: The Skills, Mindsets and Strategies Shaping Tomorrow's Leaders as Lloyds Banking Group The rise of AI is transforming organisations at an unprecedented pace, placing new demands on leaders across every industry. Today's data and AI leaders are not…Show lessThe rise of AI is transforming organisations at an unprecedented pace, placing new demands on leaders across every industry. Today's data and AI leaders are not only responsible for driving innovation and delivering business value, they must also navigate complexity, build trust, inspire diverse teams and make decisions in an environment of constant change. Join Women in Data® on the Lightning Talk Stage for a series of thought-provoking talks from leaders who are shaping the future of data and AI within their organisations. Drawing on their own experiences, our speakers will share the lessons they've learned, the challenges they've overcome and the leadership approaches that have helped them thrive in a rapidly evolving landscape. Powered by: Women in Data® | |
| May 11, 2026 | Gartner Data & Analytics Summit 2026 (London) | Gartner Data & Analytics Summit | speaker | Ataccama: AI at Scale Starts at the Source: Building A Producer–Consumer Model for Trusted Data as Lloyds Banking Group AI raises the stakes for data quality and accountability, yet ownership often remains fragmented. Lloyds Banking Group faced this head-on. In this session,…Show lessAI raises the stakes for data quality and accountability, yet ownership often remains fragmented. Lloyds Banking Group faced this head-on. In this session, learn how they redesigned their model around a producer consumer framework, shifting from downstream fixes to trusted data at the source strengthening governance, reducing friction, and building a foundation for AI at scale. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex Whittles | 2 | — | 2026 |
| Andrew Ermogenous | 2 | — | 2026 |
| Andy Bell | 2 | — | 2026 |
| Bruno Aziza | 2 | — | 2026 |
| Dominic Orsini | 2 | — | 2026 |
| Don Murray | 2 | — | 2026 |
| Emma McGrattan | 2 | — | 2026 |
| Fawad Qureshi | 2 | — | 2026 |
| Gurpinder Dhillon | 2 | — | 2026 |
| Jennifer Jackson | 2 | — | 2026 |
| Juan Sequeda | 2 | — | 2026 |
| Kiran Shenoy | 2 | — | 2026 |
| Mahesh Kumar | 2 | — | 2026 |
| Nick Jewell | 2 | — | 2026 |
| Ole Olesen-Bagneux | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.