The term "algorithms" has several meanings, from machine learning models to tools of Wall St traders. Then there's the classic computer science definition: a set of instructions for solving problems. Think "simulated annealing," "evolutionary computing," or "LRU cache." These are the sort of algorithms we'll explore today.
Feb 17
Bridging Technology and Business: Operationalizing AI
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
38m 26s
Feb 3
Beyond the Model: Building Scalable, Responsible AI Systems
Dushyanth shares his journey into AI, the challenges of building complex pipelines, and how to integrate responsible and ethical practices into machine learning workflows.Key Highlights:Scaling AI Systems: How to design and deploy pipelines that handle real-time inference, multim ... Show More
27m 47s
Jan 6
Beyond Checklists: Evaluating Conversational AI
In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools.Carlos shares why traditional checklist-based e ... Show More
22m 52s
Jun 2022
Using AI to Supercharge Data-Driven Applications with Zilliz
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
20 m