Industrialising Machine Learning: Data-Centric Machine Learning & ML Pipelines The Data Analysis Bureau Podcast

Business leaders rely on data and analytics to decide and accelerate business initiatives. It’s hard to make difficult decisions confidently when 65% of decisions made are more complex than they were two years ago, according to Gartner. Machine learning solutions can help your organisation uncover new insights and make more informed decisions by improving your ability to sift through alerts as well as identify threats and trends.  In this panel, you will learn how to build pipelines and AI systems, why data-centric machine learning can be valuable, and more.  Learn more about: - The need for data-centric machine learning that prioritises data quality and pipeline robustness - How to build pre-packed pipelines for specific industry use cases - How to build strong AI systems from modular, weak AI pipelines and components - Key technological and organisational challenges that impact the success of machine learning projects - And much more!  Speakers: - Eric Topham, CEO & Co-Founder at The Data Analysis Bureau - Rajdeep Biswas, Director, Advanced Analytics & Machine Learning at Microsoft - Nik Spirin, Co-founder & CEO at Metapixel AI