Marcello La Rocca on Algorithms and Data Stru...

Key Highlights: Production-Scale LLMs: Deploying and scaling recommender systems powered by large language models. AI Infrastructure Challenges: Building reliable, high-performance search and ML platforms at global scale. MLOps & Model Optimization: Lessons learned from optimizin ...  Show more

Vaishali shares her experience leading global data teams, partnering with executive leadership, and building strategies that connect cutting-edge technology to real business value. We explore her insights on operationalizing AI, scaling analytics across enterprises, and overcomin ...  Show more

At its simplest, an algorithm is a sequence of step-by-step instructions designed to give a result. They are the building blocks of every computer program and are there to ensure every digital device gives the right results on request. For example, when we type a search query int ...  Show more

Theo is in the interviewer’s chair for this episode as Frank Liu from Zilliz joins the show to talk about how AI and machine learning are making it possible for developers to understand and extract more value from unstructured data such as text, audio, images, video, and more. Tr ...  Show more

When computers became commodity hardware and storage became incredibly cheap, we entered the era of so-call "big" data. Most definitions of big data will include something about not being able to process all the data on a single machine. Distributed computing is required for such ...  Show more

Matthew Finney is a Data Scientist and Strategy Consultant at Harvard. There, he develops AI decision systems to help large organizations make an impact on their most challenging business and mission problems.

On this episode, Matthew speaks with AfroTech's Will Lucas a ...