YoVDO

Spatial Data and AI - The Next Frontier in Technological Innovation

Offered By: Weights & Biases via YouTube

Tags

Artificial Intelligence Courses Entrepreneurship Courses Data Storage Courses Embeddings Courses Supabase Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of spatial data and AI in this insightful 59-minute podcast episode featuring Paul Copplestone, CEO of Supabase. Delve into Copplestone's unique journey from web development to agricultural innovation, and discover how his diverse background shaped his approach to building a successful tech company. Gain valuable insights into the challenges facing the AI and database industries, the future of spatial data and embeddings, and the importance of diverse perspectives in technological innovation. Learn about exciting use cases, the role of multimodal models, and innovations in data storage. Understand the significance of intellectual honesty in business, navigate company-building challenges, and explore the impact of global experience on technological advancements. Examine the future of AI and spatial data integration into digital systems, and uncover the potential of this next frontier in technological innovation.

Syllabus

What is supabase.com?
Exploration of exciting use cases
Challenges in the AI and Database Industry
Role of Multimodal Models
Innovations in Data Storage
Diverse Perspectives on Technology
The Importance of Intellectual Honesty
Building a Company and Navigating Challenges
The Impact of Global Experience
The Future of AI and Spatial Data
Integrating Spatial Data into Digital Systems


Taught by

Weights & Biases

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Artificial Intelligence for Robotics
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent