From Rejected CV to Job Offer - Data Science Festival

Build the Right Side Project: Break Into & Level Up Your Skills in Data Careers

Beyond the Dashboard: Building Executive Presence as a Data Professional - Data Science Festival

How to Take the Step into a Career in Data and AI - Data Science Festival

The Hiring Manager’s Playbook: Ask Us Anything - Data Science Festival

The AI Skills Shift: What Will Matter in the Next Five Years? - Data Science Festival

CV Masterclass: What Recruiters Really Look For - Data Science Festival

Navigating Career Growth in a Changing World - Data Science Festival

The Great Data Engineering Reset: From Pipelines to Agents and Beyond

Agentic Systems in Practice: Applying AI to Investments

Beyond Benchmarks: A Practical Framework for Measuring Success for Enterprise-Scale LLM Solutions

Personalization Models for Email Subject Lines and Send Times

Competitor Response Planning Suite - Turning Threats into Strategic Advantage

Revolutionizing Stock Markets with AI

Enhancing Data Quality for AI Success

It’s Not Just the Ad: How Meta Learned to Rank Everything Around It

The Mathematics of Transformers and Large Language Models - Data Science Festival

Guardrailing LLMs in High Stakes Workflows - Data Science Festival

Panel: How do you integrate GenAI agents into legacy insurance systems without breaking the business

Processing Thousands of Sensitive Documents for Retrieval - Data Science Festival

Data Science Festival 2026

Privacy by Design: What 99% Data Reduction Actually Looks Like

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