Recruitment - Data Science Talent

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

Risk Mitigation and the Future of Large Language Models in the Enterprise Market By Damien Deighan

Start Up: Interview with Tanmaiyii Rao

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

Building a Feature Platform Guided by Your Ethos By Andreu Mora

How AI Is Driving the Eradication of Malaria By Arnon Houri-Yafin

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

LLMs, ELMs And The Semantic Layer By Tarush Aggarwal

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

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

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

Should You Reassess Your Candidate Assessment In The Wake Of CHAT GPT3? By Damien Deighan

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

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

Damien Deighan: Talks About The Current State Of Data Science Hiring

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

Mikkel Dengsoe: A highly Respected and Experienced Data Leader, Sheds Light on The Complex Relationship Between Team Size And Data Complexity