Beyond Explainability: How Causal Thinking Builds Trustworthy Data Science

Self Hosted LLMs: Running Your Own Inference Infrastructure

How to Make Google Trends Data Actually Usable for Machine Learning

Context Graphs: The AI Brain

Human, Machine, Data, AI Symbiosis

What Recommender Systems Really Optimise For: Metrics, Feedback Loops and Echo Chambers

From Walk to Run: Advancing Experimentation Maturity at Scale

From Three Data Points to a Price: What Building a Hotel Pricing Engine Taught us About Demand

When the Data You Scraped Might Be the Data They Wanted You to See

Beyond Benchmarks 2 0: A Practical Framework for Measuring Multimodal and Agentic AI Success

Where is the Zebra? Agent Decision making As Constraint Satisfaction - Data Science Festival

LLMs You Can Trust: From Features to Data Quality - Data Science Festival

When AI Meets Quantum Computing - Data Science Festival

How to build a winning data career at the age of AI - Data Science Festival

Why your data platform will fail (and what to do about it) - Data Science Festival

Building Production Ready AI Agent Systems with AgentOps - Data Science Festival

Holdout Experiments: Patterns, Trade offs, and Lessons from Real Projects - Data Science Festival

The Fintech Data Product Playbook: From Idea to Impact - Data Science Festival

Conversation encoding: enhancing our understanding of text based conversations

Panel - Putting Agents to work: lessons from the frontline of Agentic deployment

Breaking and Fixing LLMs Live: Lessons From Real Attacks - Data Science Festival

From Strategy to Algorithms: Better Decisions with Human Data at Scale - Data Science Festival

Compound Engineering: How I Ship More by Writing Less Code - Data Science Festival

Modeling Ad Creative at Scale: From Representations to Ranking Impact at Meta

Applied AI at Work: Building and Training Agentic Systems - Data Science Festival

Sentiment Analysis Suite – Turning Online Conversations into Retail Intelligence

More Than Meets the Eye: Transforming User Events into Deep Context

Panel Discussion – Mind & Machine: How Product and DS Co-Design the Future of Trust

Evolution of GenAI: Building Compliant LLM Automations at Wise

On the Threshold of Greatness: Democratizing Model Optimization at Wise

Harnessing the Power of Generative AI for Intelligent Applications Generative AI for Intelligent App

Build Context Aware AI Agents with Amazon Bedrock AgentCore and Snowplow Signals

Optimizing EV Charging Stations: A Live Code-Along in Zerve

The Qualities That Great Data Scientists Share – and How to Assess Them

From ladders to lattices: the career framework your Data team can actually use

Beyond the Model: Inspiring Purpose and Belonging in Data Science Teams

Data Vibe Coding with AI: Prompting Strategies That Actually Work

Panel: How to Ace the Technical Interview: Insider Secrets from the Other Side of the Table

Panel: The Future of AI: Are We Really on the Path to AGI, or Do We Need a Quick Turnaround Now?

Your Next Step in Tech Inside the DSF Mentorship

Negotiate your offer with confidence

How to know if a data team is bankrupt: The questions you should be asking in an interview

Job Hunting: A Guide for the Neurodivergent

Panel: Comeback Stronger: Masterclass for Tech Career Returners

From Questions to Career: How Curiosity and Empathy Helped Me Find My Place

Beyond Code: Why Community Engagement Amplifies Your Career

Panel: How to Land the Interview You Want

Removing barriers: how you can unlock your potential and accelerate your career in AI and tech

DSF Career Day 2025

Globality vs Locality: Capturing Information at Different Scales in Retail Graph Networks

Deploying agentic GenAI systems to production

Analytics for RevOps Model Factory Approach

Euroleague Basketball Analytics with Python, Knowledge Graphs and Simulations

Unlocking Open Banking: From Underwriting to Retail Insights & Market Research

Career Trekking across the Data Landscape

Chaos to Clarity: Predictive Dashboards for Smarter Real Estate Decisions

Fundamentals of Building Generative AI Services

Advanced SQL – top tips for dealing with real world data

High quality experimentation at Deliveroo: The vision, implementation and reflection

Causal inference: how we are applying causal methods in retail data science, key tips and learnings