What we're about
We’re excited to bring you the latest and practical technology on AI, Machine Learning, Deep Learning, Data Science and Big Data.
Due to the Covid-19, we have moved all our meetup events online: https://www.aicamp.ai/event/events
Our goal is to congregate with AI enthusiasts from all over Boston to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.
If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.
Thank you
Kelvin, Community Manager
*AI online learning/practicing platform:
https://www.aicamp.ai
*AI online community platform:
https://www.aicamp.ai/event/events
Upcoming events (1)
Please complete registration on the event website to receive join link:
https://www.aicamp.ai/event/eventdetails/W2022053116
Description:
Machine learning comes in many shapes and sizes but most of the conversation (around tools, techniques, division of labor) is dominated by a handful of companies, who do ML at a scale nobody else needs to. Of all the endless forms that companies outside of Big Tech can take, particularly interesting is a growing and underserved segment that is especially relevant for ML systems, known as reasonable scale companies, meaning reasonable along the axes of monetary impact, team size, data volume, and compute resources.
Jacopo and Hugo will discuss reasonable scale machine learning and what the majority of non-FAANG companies need to know in order to build out sophisticated ML functions, and we will also discuss what such machine learning actually looks like for businesses and practitioners alike, and what you can do to get started with reasonable scale ML today.
After attending, you’ll know:
- What types of companies can benefit from reasonable scale machine learning (hint: most);
- What types of data, tools, and talent you need in order to build a sustainable ML function;
- Barriers to entry for reasonable scale machine learning, how you can get started today, and industry trends that will help you in your ML journey.
The fireside chat will be followed by an AMA with Jacopo and Hugo at slack.outerbounds.co.
Speakers:
Jacopo Tagliabue is Coveo's Director of A.I., where they combine product thinking and research-like curiosity to build better data-driven systems at scale.
Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations
More AI/ML/Data tech events (free to join from anywhere):
🔷 May 24, Webinar: MLOps with Model Monitoring in Production
🔷 May 24, Conference: Chief Data & Analytics Officers, Insurance (NYC)
🔷 May 25, Webinar: Advanced Analytics & Insights More Actionable
🔷 Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination
🔷 Jun 7, Webinar: Built a Data Mesh Architecture
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka
- Scott D.
- Andrés C.
- Solomia L.
- 8 attendees
Past events (257)
- Apriln
- aminghafari
- Daniel P.
- 9 attendees
