Advice - Data Science Talent

Amsterdam – Data Science City: 7 Things About Amsterdam You May Not Know

ChatGPT By Francesco Gadaleta

What Is Causal Inference and Why Should Data Leaders and Data Scientists Pay Attention? By Graham Harrison

How I Became a Heroine in Tech – A Personal Reflection By Anna Litticks

Start Up: Interview with Tanmaiyii Rao

Digital Twins: The First Fruit of the Metaverse, Powered by Generative AI By Aakash Shirodkar

Embracing Neurodiversity: My Journey with ADHD and How Generative AI Propelled My Career in Data Science By Elle Neal

Charting the Evolution of Talent in Data Science at the Event Horizon of AGI By Lin Wang

From Humans to Hybrids: Preparing Your Workforce to Thrive in the Future By Philipp M Diesinger

Rapid And Budget-Friendly LLM Training Using Lora: Francesco Gadaleta

Interactive Insights: When Generative AI Meets Analytics BY Martijn Bauters

LLMs, ELMs And The Semantic Layer By Tarush Aggarwal

Evolution of Data Platforms: Francesco Gadaleta

Start Up: Interview With Tamanna Haque – Getting Into Data Science

Data Platforms – How Can The Right Data Platforms Streamline Your Organisation? Tarush Aggarwal

Anna Litticks: Automisation Means Change

Amsterdam – Data Science City: 7 Things About Amsterdam You May Not Know

How To Scale Data Science Pilots To Industrialise Your Data: Philipp M Diesinger

Heidi Hurst: A Guide To Satellite Imaging

Dr Anna Litticks: Things I Wish I knew Before Becoming a Data Scientist

Start Up – Ryan Kearns: How I Got Into Data Science

Detecting Financially – Vulnerable Customers At Scale: Rebecca Vickery

We Explore The Fascinating World of Reinforcement learning with One of The Experts in The Field: Francesco Gadaleta

Tarush Aggarwal: Tells us How he Got Started in Data Science at Salesforce And Wework

Skanda Vivek: Senior Data Scientist From Onsolve Talks About How he Transitioned From Academia to The Data Science Industry

Data Science City: Our First City Spotlight Highlights a Metropolis Rapidly Emerging as a Dominant Force in Data Science And AI on a Global Scale – Frankfurt.

Tam Tran: Shares Insights on How to Fix Common Cross-Validation Pitfalls

Genevieve Hays: Tells Data Scientists – If You Want to be Valued Then You Need to Ask The Right Questions