Clara Durodié

Technology Strategist in AI, CEO of Cognitive Finance Group, Author of 'Decoding AI in Financial Services', Member of IEEE Global Initiative on Ethics of Autonomous Systems & Guest Lecturer at Oxford, MIT & LBS

Decoding AI in Financial Services: Business Implications for Boards and Professionals

Decoding AI in Financial Services: Business Implications for Boards and Professionals

How to hire Clara Durodié

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Clara Durodié's official speaker topics are listed below:

  • Boards and AI strategy: modern governance
  • Cybersecurity and AI: fighting fire with fire
  • Artificial intelligence in plain English
  • Trust with Algorithms - what is it and how to build it
  • Trust by design - how to start right
  • What is good, robust high-quality AI?
  • AI Ethics: a business case in financial services
  • The meaning of Trust with Technology
  • Redefining Trust with AI in financial services
  • AI in finance function - use cases and areas for improvement
  • AI and Data Ethics in financial services
  • Thinking strategically about automation
  • Linear vs Exponential automation
  • Use cases of applied artificial intelligence in financial services
  • Future uses of AI/ML and business strategy impact
  • Global trends in AI adoption
  • Leading AI companies, cloud, and the AI stack delivery
  • How to pick the winners when selecting AI vendors - criteria for selection
  • Alternative data and AI: value and timing
  • Trends in natural language processing, data strategy, and deep learning
  • Asset management: Distribution solutions and customer engagement with AI
  • Wealth management & private banking and AI solutions
  • Back office automation with AI and where RPA sits in all of this
  • Behavioural finance and AI
  • Why is it important to understand Intelligence: human and artificial
  • The need for Trust in financial services and how technology addresses it
  • Cybersecurity and a safer world with AI
  • Preventing Fraud in Payments with AI
  • Importance of AI Ethics and responsible design
  • Personalisation at scale: AI use cases in private banking
  • Philosophy of technology
  • Data ethics and integrity
  • The macroeconomics of AI: key considerations
  • Data privacy and AI
  • Data commercialisation: use and abuse
  • AI in asset management: how to benefit from AI adoption
  • Government AI strategy for financial services
  • Regulators and AI sandboxes: staying ahead
  • What's an AI and what’s not - implications for your operational model
  • What AI can and cannot do for asset management
  • Fixed Income and AI: operations, default, and scenario analysis
  • AI Ethics in financial services: what do we need to know?
  • What is AI, why now, and what’s in it for financial services?
  • AI and workforce impact: same people with new skills
  • Where to start with AI?
  • Central Banks and Deep Learning applications
  • Labour markets and AI: will wages still be relevant?
  • AI and operational resilience in financial services
  • Retraining your workforce: where to start
  • 2024 - Published 2nd edition of 'Decoding AI in Financial Services'
  • 2022 - Japanese translation of 'Decoding AI in Financial Services' published
  • 2020 - Keynote speaker at Money 2020, SIBOS, Innovate Finance Global Summit
  • 2019 - Author of 'Decoding AI in Financial Services: Business Implications for Boards and Professionals'
  • 2019 - Joined inaugural Oxford AI teaching team
  • 2018 - Guest Lecturer at University of Oxford, MIT, and London Business School
  • 2017 - Advised the World Economic Forum’s 4th Industrial Revolution Centre
  • 2017 - Member of European Union AI Alliance
  • 2017 - Chair, Non-Executive Directors Board’s special committee on AI Adoption
  • 2016 - Founded Cognitive Finance Group, strategic advisor on AI in financial services
  • 2014 - Published academic research at intersection of neuroscience, AI, and investment management
  • 2014 - Leadership roles in European asset and wealth management