Book My Seat!

Hands-on knowledge from top Graph AI minds! Learn from Workshops, Masterclasses, Presentations & Networking sessions.

Graph-Based Data Science: Hybrid AI meets data science process

A talk by Paco Nathan
Managing Partner, Derwen, Inc.

15 April 2021, 06:20 PM

Book your place as an attendee, but don't forget to get the tickets for each talk!

By submitting your email you agree to the terms
Book my place

Categories covered by this talk

About this talk

Python offers excellent libraries for working with graphs: semantic technologies, graph queries, interactive visualizations, graph algorithms, probabilistic graph inference, as well as embedding and other integrations with deep learning.

However, most of these approaches share little common ground, nor do many of them integrate effectively with popular data science tools (pandas, scikit-learn, spacy, pytorch), nor efficiently with popular data engineering infrastructure such as Spark, RAPIDS, Ray, Parquet, fsspect, etc.

This talk reviews kglab – an open source project that integrates most all of the above, and moreover provides ways to leverage disparate techniques in ways that complement each other, to produce Hybrid AI solutions for industry use cases.  

We'll show an example of how to build and leverage a personal knowledge graph using just a small amount of Python.

Have you got yours yet?

Our All-Access Passes are a must if you want to get the most out of this event.

Check them out

Paco Nathan

Known as a "player/coach", with core expertise in data science, natural language, machine learning, cloud computing; 38+ years tech industry experience, ranging from Bell Labs to early-stage start-ups.

Proudly supported by

Your logo could go here!

If you'd like to get your brand in front of attendees contact us.