How AI Is Built

#3 Duncan Blythe on AI Inside Your Database, Real-Time AI, Declarative ML/AI

Apr 19, 2024

Learn how SuperDuperDB simplifies AI integration into databases, enabling real-time computation for instant data updates. Explore the benefits of embeddings and classifications, future plans for AI-powered databases, and the framework for configuring AI workflows. Discover the challenges in computing embeddings, handling text chunks, declarative machine learning, real-time feature calculation, and advancements in model deployment.

36:04

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Quick takeaways

SuperDuperDB allows direct application of AI processes to data stores

Real-time computation of embeddings/classifications keeps data deployment current

Deep dives

Bringing AI Processes Directly to Your Database

Implementing AI directly in your database empowers various applications to insert data and separate computation processes. This approach allows real-time data deployment from multiple sources, enabling the computation of embeddings or classifications reacting to incoming data. Application developers benefit from always updated data with inference points for real-time search functionalities.

Efficient Database Configuration for Text Extraction and Analysis

04:21

Introduction

4min

Challenges and Considerations in Computing Embeddings for Data Storage

21min

Challenges and Solutions in Handling Text Chunks and Vectors in a Database

4min

Declarative Machine Learning in Databases and Recommendation Systems

2min

Real-Time Feature Calculation and Model Building Functionalities

2min

Advancements in Model Deployment and Project Contribution

4min

If you've ever wanted a simpler way to integrate AI directly into your database, SuperDuperDB might be the answer. SuperDuperDB lets you easily apply AI processes to your data while keeping everything up-to-date with real-time calculations. It works with various databases and aims to make AI development less of a headache.

In this podcast, we explore:

How SuperDuperDB bridges the gap between AI and databases.
The benefits of real-time AI processes within your data deployment.
SuperDuperDB's framework for configuring AI workflows.
The future of AI-powered databases.

Takeaways

SuperDuperDB enables developers to apply AI processes directly to their data stores
The platform supports real-time computation of embeddings or classifications, keeping the data deployment up to date
SuperDuperDB provides a framework for configuring AI processes that work in close combination with the data deployment
The platform supports a variety of databases, including operational and analytical databases
SuperDuperDB aims to simplify AI development by abstracting the data layer and infrastructure

Duncan Blythe:

SuperDuperDB:

Nicolay Gerold:

Chapters

00:00 Introduction to SuperDuperDB

04:19 Real-time Computation and Data Deployment

13:46 Bringing Compute and Database Closer Together

29:30 Declarative Machine Learning with SuperDuperDB

35:09 Future Plans for SuperDuperDB

SuperDuperDB, AI, databases, embeddings, classifications, data deployment, operational databases, analytical databases, AI development, data science

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How AI Is Built

#3 Duncan Blythe on AI Inside Your Database, Real-Time AI, Declarative ML/AI

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Bringing AI Processes Directly to Your Database

Simplifying AI Deployment with Database Integration

Enhancing Data Interaction and Search Efficiency

Flexibility in AI Model Deployment and Management

Efficient Database Configuration for Text Extraction and Analysis

Remember Everything You Learn from Podcasts