Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner.

Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and deliver the narrative with impact!

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GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data.

Featuring:

Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Local Meetups - Great for first steps, local help and relationship building, job connections, involvement in local projects, etc. Mostly free!
- PyData
- TensorFlow
- PyTorch
- Deep Learning
- etc.
Large industry conferences - Great to see what some of the larger companies and innovative startups are doing with AI, application and infra focused, etc. Expensive.
Smaller, topical events or events focused on particular tools - Great if you are heavily invested in particular tech or a topic like NLP. In general you have to look around quite a bit to find these.
- TensorFlow dev summit
- Spacy IRL
- PyTorch developers conference
- AllenNLP Summit
- Applied Artificial Intelligence Conference
- DataSciConhttps://datascicon.tech/
- Etc.
Research conferences - Meant to be an outlet for original research. Great to see how research orgs/institutions are pushing the boundaries and doing groundbreaking things. Hard to get into and very academic.

Some conference talks from the Practical AI hosts:

Upcoming Events:

Register for upcoming webinars here!

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