In the Age of AI: How to Balance Flexibility, Control, and Business Value by Nikhil Srinidhi

Beyond Dashboards: How Central Decisioning Systems Will Redefine Business Intelligence by Piyanka Jain

Agentic AI: What is Context Engineering and Why Should Data Scientists and AI Engineers Utilise It for Unstructured Data? By Ahmed Al Mubarak

The New Intelligence: How AI is Changing the Battlefield Technologically and Ethically by Francesco Gadaleta

Challenging Assumptions About Productivity and Success by Anthony Newman

The Hidden Fragility of AI Agents: Why Vector Retrieval and Long Context Windows Aren’t Enough by Anthony Alcaraz

Enterprise Agility: is Data Democratisation the Missing Link? by Taaryn Hyder

The Co-pilot Fallacy by James Duez

2025 Releases – Book Recommendations by Nicole Janeway Bills

AI And Marketing: Do You Know What to Think About? By James Tumbridge and Robert Peake

Introduction to the Finite Normal Mixtures in Regression with R by Łukasz Gątarek

How GenAI Is Delivering Operational Efficiencies in Online Retail by Sascha Netuschil

Engineering Certainty: How Data and AI Are Rewriting the Rules of Clinical Trial Success by Philipp Diesinger, Robert Lindner, Gabriell Máté, Stefan Stefanov and Peter Bärnreuther

Tech’s Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything By Francesco Gadaleta

Build Less, Deliver More in Traditional Sectors by Tarush Aggarwal

Successful AI Strategies for Businesses in Traditional Sectors by Tony Scott

Improving AI in Healthcare by Detecting and Fixing Bias By Philipp Diesinger

Making or Breaking AI Products: The Overlooked AI Gap in Product Management By Henrieke Max

Biobase: Revolutionising Biopharmaceutical Data Integration and Decision-Making for Boehringer Ingelheim By Bettina Knapp

What To Do if the Logit Decision Boundary Fails by Łukasz Gątarek

Driving Innovation: How Female Foundry is Empowering Women Tech Founders and Shaping the Startup Ecosystem By Agata Nowicka

Bridging the Human-Tech Divide: AI Adoption in Enterprise By Rosanne Werner

Putting Nature on the Balance Sheet: The Future of Environmental Investment By Sonja Stuchtey

Women in Data & AI: Book Recommendations By Nicole Janeway Bills

Microsoft to AI Advisory: A Journey in Building Scalable & Responsible AI Strategies By Didem Un Ates

Applying Product Management Principles to RGA’s Data & AI Transformation by Maha Reinecke

How To Drive Successful AI Adoption in Enterprise By Anna Kopp

Dynamic Mode: Doing It All in the Whirlwind Space of AI By Tamanna Haque

Winning the Head, the Heart and the Herd for Data Culture By Stefanie Babka

AI NOW Conference: Revolutionising Professional Events By Charmaine Baker and Glenn Hapgood

Scaling AI with Open Banking: Building Trustly’s Machine Learning Platform By Gustavo Polleti

A Conversation on the Evolution of GenAI By Martin Musiol

Why Online Grocery Needs Advanced Technology By Gabriel Straub

Navigating AI Governance: A Practical Guide for Enterprise Leaders and Investors By Rohan Sharma

My Journey: From Electronics and Communication Engineer to Data Scientist By Jhanani Ramesh

From Probability to Precision: Rethinking AI for Critical Applications By Ben Taylor

How To Build an Open Source Community in Big Pharma By Guillaume Desachy

Maximising the Impact of Your Data & AI Consulting Projects By Christoph Sporleder

From Personalisation to Inspiration: How IKEA Retail is Pioneering the use of AI in Home Retail & Design By Shahin Shahkarami

Navigating Complexity: A Look at the Shifting Landscape of Clinical Development By Philipp Diesinger and his Team

Exploring the Future of Data and AI: Five Must-Read Books for Today’s Digital Leaders By Nicole Janeway Bills

Graph Foundation Models: The Next Frontier in AI for Business? By Anthony Alcaraz

AI vs The Planet: The Energy Crisis Behind the Chatbot Boom By Francesco Gadaleta

Editorial Intelligence: Comprehensive Approaches and Methodologies for Modern and Strategic Content Publishing By Ana Moya

Mixing Methodologies: Exploring the Power of Physics-Informed Neural Networks By Francesco Gadaleta

LLMs aren’t products By Ziad Al-Ziadi

The Growing Significance of Knowledge Graphs and GraphRAG in Improving Model Performance By Kirk Marple

16 Books to Transform Data into Wisdom By Nicole Janeway Bills

Understanding and Mitigating AI Security Threats in the Enterprise By Steve Orrin

AI Kingdom in the Desert: My Journey to UAE and Saudi Arabia By RuZe Liang

Embracing the Future of Design: AI’s Transformative Role in Creative Processes By Daniel Martinez

Planning as the Core Challenge in Agentic AI: Solving it with Reinforcement Learning By Anthony Alcaraz

Key Principles for Delivering AI Outcomes in Large Enterprises By Walid Mehanna

Using Semantics to Find Trends in Global Quality Data By Rex VanHorn

How SMEs Can Navigate the Data & AI Landscape By Frank Stadler

Creating Value at Scale with AI in Pharmaceuticals By Tomislav Ilicic

Enhanced Large Language Models as Reasoning Engines By Anthony Alcaraz

From RAG to RAR By James Duez

Essential Soft Skills for Data Scientists By Sandro Saitta

Common-Sense Leadership By Claus Villumsen

Davos 2024: Rebuilding Trust, Reclaiming Relevance and the Catalytic Effect of AI By Zana Aston

The Imperative of AI Constitutionalism: Building an Ethical Framework for a Brave New World By Sahaj Vaidya

Challenges and Opportunities in Clinical Trial Registry Data By Philipp Diesinger

Why Generative AI Projects Fail By Colin Harman

Fortifying Digital Frontiers: Wise’s Innovative Approach to Fraud Protection By Iaroslav Polianskii and Luca Traverso

Industry Case Study: Merck By Walid Mehanna

Artificial Intelligence for Artificial Languages By Francesco Gadaleta

The 5 Use Cases for Enterprise LLMs By Colin Harman

Data Science City: Warsaw

Could Rust Be the Future of AI? By Francesco Gadaleta

Rise of the Data Generalist: Smaller Teams, Bigger Impact By Tarush Aggarwal

Ethical and Sustainable Data By Sarah-Jane Smyth & Jasmine Grimsley

AI at Continental By Filipa Castro

Time Series Forecasting with Deep Learning in PyTorch (LSTM-RNN) By Zain Baquar

Using Open Sourced LLMs in Language By Bartmoss St Clair

Transforming Freight Logistics with Advanced Machine Learning By Luís Moreira-Matias

A Journey from Data Analyst to Data Science Leader By Rebecca Vickery

Navigating the Future of Ads: Large Language Models and Their Impact on Programmatic StrategiesBy Javier Campos

Measuring the Effect of Change on Physical Assets By Colin Parry

Leveraging Data for a Sustainable Competitive Advantage with GenAI By Michel de Ru

AI the World Can Trust By James Duez

Scalable Data Management in the Cloud By Jacques Conradie

With LLMs, Enterprise Data is Different By Colin Harman

The Path to Responsible AI By Julia Stoyanovich

The Biological Model By Pat McQuillan

The AI Revolution vs the Mobile Revolution By Rex Woodbury

The Dawn of Synthetic Data By Philipp M Diesinger

Data Science Platforms for Patient-Centred Drug Discovery By Benjamin Glicksberg

How Infusing Marketing with Data Science Can Lead to Better Marketing Decisions By Faisal Wasswa

Should You Industrialise your Data Science MVP? By Philipp M Diesinger

The Principles of an Effective Data-Driven Organisation By Pat McQuillan

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

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

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

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