The Causal AI Conference is back in London

London 24th September 2024

What’s cAI24?

cAI brings together experts in Causal AI, including business leaders from renowned brands, data scientists, leading researchers, and academics driven by a shared passion for shaping the future of Causal AI.

Featured speakers

Discover insights from top AI experts at our Causal AI Conference. Engage with industry leaders, researchers, and innovators shaping the future of AI.

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Aleksander Molak Causal ML Tutor / Causal Bandits Host University of Oxford / Causalpython.io

Aleksander (Alex) Molak is an independent consultant, researcher and educator specialized in causality. He’s the author of a best-selling book Causal Inference and Discovery in Python and the host of the Causal Bandits Podcast

Darko Matovski Founding CEO causaLens

AI scientist turned tech entrepreneur Dr Darko Matovski is known for his pioneering work in Causal AI – a new category of intelligent machines that reason like humans and understand cause-and-effect relationships. He is the co-founder and CEO of causaLens, a $50M venture-backed scaleup headquartered in London.

Maria Axente Head of Public Policy & Ethics PWC

Maria is an acknowledged AI ethics and policy expert. As PwC’s Head of AI Public Policy and Ethics, she is responsible for integrating ethical and policy considerations into the company’s AI strategies, promoting partnerships with key stakeholders, and leading PwC’s engagement in public policy debates and initiatives. Previously she was PwC Responsible AI lead, pioneering the adoption of ethical AI practices for the UK firm and its clients.. Additionally, Maria champions AI for children and human-centric AI.

Ciarán M. Gilligan-Lee Head of Causal Inference Lab & Senior Research Manager Spotify

Ciarán is passionate about making fundamental advances in Causal Inference, translating them into practical & useful tools, & applying them to important problems in modern society. He is the Head of the Causal Inference Lab at Spotify & and holds an Honorary Associate Professorship at University College London. I have a DPhil (PhD) in Computer Science from University of Oxford, specialising in Causal Inference & Quantum Computing.

Clara Fabiola Oliva VP, Data Analytics, Artificial Intelligence & Customer Insight TIM

Clara is an experienced manager, leading a team that implements qualitative and quantitative research (focused on using customer, sales, brand) in order to measure customer perceptions and satisfaction. Clara manages a mixed technical team, composed of data scientists, data analysts and big data specialists, in order to obtain useful insights out of raw data. She is an executive MBA graduate with a financial and statistical academic backround.

Christopher Barth Head of Data & Analytics Bergfreunde

With nearly 20 years of experience in data, analytics, and CRM, Christopher Barth is a seasoned professional passionate about understanding the intricacies of business operations. His career began in consulting, where he honed his skills and gained extensive experience. Christopher then transitioned to a senior leadership role at HUGO BOSS headquarters, where he was instrumental in building a centralized team focused on customer data & analytics, CRM, and Performance Marketing. Currently, he leads the centralized Data & Analytics team at Europe’s leading Outdoor eCommerce retailer, driving the organization towards a data-driven future.

Session highlights

Explore key takeaways from our Causal AI Conference sessions. Dive into groundbreaking research, innovative applications, and expert discussions shaping the AI landscape.

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causaLens: Accelerating Data Science Productivity with AI Agents

Darko MatovskiFounding CEO, causaLens

Bergfreunde: “Decoding eCommerce” – Why Causal AI adds unique value to managing business performance at Bergfreunde.de

Christopher BarthHead of Data & Analytics, Bergfreunde

Croud: How to be better at marketing with causal AI

Fernanda HinzeData Scientist, Croud

Aleksander Molak: Causality Upside Down

Aleksander MolakCausal ML Tutor / Causal Bandits Host, University of Oxford / Causalpython.io

Spotify: Counterfactual reasoning and what it’s good for

Ciarán M. Gilligan-LeeHead of Causal Inference Lab & Senior Research Manager, Spotify

BBVA: Causality in a real use case in banking

Clara Higuera Cabañes & Javier Moral HernándezLead Data Scientist, BBVA & Senior Data Scientist, BBVA

Why attend

Join the Causal AI Conference to gain cutting-edge insights, network with AI pioneers, and discover the latest advancements transforming the industry.

For data scientists

Elevate your causal AI expertise at cAI24

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The opportunity to showcase your own Causal AI projects and receive valuable feedback from peers
Network with a global community of data scientists passionate about Causal AI
Discover cutting-edge tools and frameworks for Causal AI implementation
Participate in hands-on workshops and tutorials

For business leaders

Unlock the power of causal AI to drive business growth

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Learn from the world’s largest organizations already successfully using Causal AI
Attend executive roundtables and panel discussions you won’t find elsewhere
Strategic insight into leveraging Causal AI for competitive advantage
Explore the most powerful Causal AI solutions and tools to drive business value

Last cAI conference was a blast

cAI24 San Fransisco recap

cAI brings together experts in Causal AI, including business leaders from renowned brands, data scientists, leading researchers.

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attended by leaders

“As I imagine it is for other attendees like myself, causal ML is a new technology/approach that has resistance within my organization. The high level overview that was focused on causality (as opposed to machine learning in general) gives me talking points to better evangelize within my organization.”

“Excellent speakers and content. Very smoothly organized.”

I’ve found the Causal AI conference stimulating, above all. It was a pleasure to meet so many people across different industries that share a common interest in Causal AI. I was lucky to have a lot of interesting conversations, too.

Nathalie James Blume, Ph.D. Principal Data Scientist, Mutual of Omaha

I think it’s an interesting mix of the data scientist and academic ‘stuff’ and the business leader applications. I think this conference could really grow, with multiple days and tracks.

Scott Evans Principal Scientist AI-Machine Learning, GE Vernova

I think this conference brings together experts from various verticals and fields of work. It’s been a great experience to hear from everyone about the applications of Causal AI.

Nalanda Matia Sr. Director, Econometrics Solutions, Dun & Bradstreet