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Building a Career-Transforming Playbook: Creating Your Strategic & Holistic Vision for AI - Pt 1

October 15, 2024
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online
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Europe
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14:00-15:30
GMT 0
ROUNDTABLE

PEOPLE SHAPING THE CONVERSATION

Sarah Tijou
Senior Vice President
Panelle
Leila Nouri
Director of Product Marketing
Domino
Natalia Konstantinova
Architecture Lead in AI
BP
Magdalena Jonczak
VP Strategy and Digiral
Liberty Global
Prasunamba Kalsi
Director - Insurance Data Science
WNS
Rachana Dongre
Head of Digital Innovation and Strategy
Unilever
Georgia Skouma
Director, data & Privacy
Deloitte
Garima Jane
Data Director
Adidas
Pallavi Kumar
Head of Change Management - Group Data & Analytics
Dankse Bank
Emma Verhagen
Global AI & IT Director
Unilever

AGENDA

Overview

Data science is changing the world, and CDAOs must keep up. They play a central role in transforming their enterprises by creating new AI operating models, processes, and technical approaches that delight customers, create a competitive advantage, and produce new revenue streams.

They serve as change catalysts, revolutionising their organisations and careers. To develop a comprehensive AI and data analytics strategy, CDAOs require support in posing incisive questions that yield actionable insights and solutions to key AI challenges. But where do they start?

Join Domino for this Panelle Roundtable, which will explore this. Discover how to build a cohesive, holistic, Inclusive AI and data analytics strategy by posing thought-provoking questions that reveal forward thinking, real-world learnings and solutions to the top AI challenges.

The conversation

  1. What data challenges are you currently facing with your organisation’s AI operating models, processes, and technical approaches?
  2. How can the power of data, married with AI, transform your company? And how can you smartly experiment faster?
  3. How can you create a more inclusive and equitable data ecosystem while also promoting your product to a broader audience?
  4. In what ways are biases ingrained within your AI algorithms, and how can you systematically root them out to ensure fairness and equity?
  5. What innovative approaches can make your data collection methods more inclusive and representative of all demographics?
REGISTER YOUR INTEREST
Building a Career-Transforming Playbook: Creating Your Strategic & Holistic Vision for AI - Pt 1

AGENDA