Welcome to the Data Science Talent blog, where you’ll find regular posts and content on the things we think you want to read and hear about in the world of Data Science & AI.
You’ll also find useful information and guides that will help you enhance your professional profile and develop your skills and strengths.
We aim to create a community of Data Science and AI practitioners and provide them with the tools to succeed in this ever-changing sector.
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
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
From Humans to Hybrids: Preparing Your Workforce to Thrive in the Future By Philipp M Diesinger
Data Platforms – How Can The Right Data Platforms Streamline Your Organisation? Tarush Aggarwal
We Explore The Fascinating World of Reinforcement learning with One of The Experts in The Field: Francesco Gadaleta
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.
Mikkel Dengsoe: A highly Respected and Experienced Data Leader, Sheds Light on The Complex Relationship Between Team Size And Data Complexity
Genevieve Hays: Tells Data Scientists – If You Want to be Valued Then You Need to Ask The Right Questions
