The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Building an Autonomous Knowledge Graph with Mike Tung - #319

Nov 21, 2019

44:06

Creator website

Highlights

AI Chapters

Episode notes

Fostering Research Collaboration and Knowledge Sharing in AI

01:25

Effortless Data Extraction with Diff Bot

01:22

Building Knowledge Graphs: Lessons from Google and Microsoft

00:57

Introduction

2min

The Side Hustle of a Patent Lawyer

2min

The Importance of Data in Deep Learning

4min

Google and Microsoft's Knowledge Graphs

5min

The Benefits of Knowledge Graphs for Virtual Assistants

3min

How to Extract Data From Pages Using Machine Learning

3min

Machine Learning and Machine Learning in Search Engines

5min

How to Scale a Diff Bot

3min

The Evolution of a Machine Learning Research Company

3min

10.

The Future of Machine Learning

3min

11.

The Challenges of Knowledge Fusion

4min

12.

The Relationship Between Knowledge Base and Knowledge Base

4min

13.

How to Get Started With a Business Model Knowledge as a Service

2min

Today we’re joined by Mike Tung, Founder, and CEO of Diffbot. In our conversation, we discuss Diffbot’s Knowledge Graph, including how it differs from more mainstream use cases like Google Search and MSFT Bing. We also discuss the developer experience with the knowledge graph and other tools, like Extraction API and Crawlbot, challenges like knowledge fusion, balancing being a research company that is also commercially viable, and how they approach their role in the research community.