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

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

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

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Creating Value at Scale with AI in Pharmaceuticals By Tomislav Ilicic

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Enhanced Large Language Models as Reasoning Engines By Anthony Alcaraz

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From RAG to RAR By James Duez

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Essential Soft Skills for Data Scientists By Sandro Saitta

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Data Quality in Relation to Algorithmic Bias By Gareth Hagger-Johnson

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Common-Sense Leadership By Claus Villumsen

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

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

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Challenges and Opportunities in Clinical Trial Registry Data By Philipp Diesinger

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Why Generative AI Projects Fail By Colin Harman

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

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Industry Case Study: Merck By Walid Mehanna

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Artificial Intelligence for Artificial Languages By Francesco Gadaleta

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The 5 Use Cases for Enterprise LLMs By Colin Harman

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Data Science City: Warsaw

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Could Rust Be the Future of AI? By Francesco Gadaleta

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

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

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AI at Continental By Filipa Castro

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

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Using Open Sourced LLMs in Language By Bartmoss St Clair

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

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

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

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Are Large Language Models the Ultimate Database? By Francesco Gadaleta

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Measuring the Effect of Change on Physical Assets By Colin Parry

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

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AI the World Can Trust By James Duez

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Scalable Data Management in the Cloud By Jacques Conradie

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With LLMs, Enterprise Data is Different By Colin Harman

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The Path to Responsible AI By Julia Stoyanovich

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The Biological Model By Pat McQuillan

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The AI Revolution vs the Mobile Revolution By Rex Woodbury

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The Dawn of Synthetic Data By Philipp M Diesinger

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

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

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Data Science City: London

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ChatGPT By Francesco Gadaleta

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

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

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Start Up: Interview with Tanmaiyii Rao

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

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

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

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

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

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Interactive Insights: When Generative AI Meets Analytics BY Martijn Bauters

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LLMs, ELMs And The Semantic Layer By Tarush Aggarwal

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Evolution of Data Platforms: Francesco Gadaleta

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

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

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Anna Litticks: Automisation Means Change

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

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

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Heidi Hurst: A Guide To Satellite Imaging

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

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

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Detecting Financially – Vulnerable Customers At Scale: Rebecca Vickery

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

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

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

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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.

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

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

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