What we're about

This is a group for ML developers, data scientists and hackers. The goal of this group is to engage, learn and share. The topics would be be around Big Data and Analytics, data science, data engineering, ML algorithms, models and MLOps. We host tech talks, seminars, panel discussions, demos, hackathons and networking for all members.

Upcoming events (3)

Data talk: Insourcing vs Outsourcing Data Layer Operations

Link visible for attendees

Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022060210

We are hosting a series of tech talks on Kafka, data layers, you can join us online from anywhere:

  • June 16: Using Free And Open-Source Software Vs. Open-Core Software.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022061610
  • June 29: Workshop: Migrating from Confluent Kafka to Open Source Apache Kafka.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022062910
  • July 14: PostgreSQL Enterprise Features.
    RSVP: https://www.aicamp.ai/event/eventdetails/W2022071410

Description:
Data layer management is one of the key things that impact the ability of developers to do their jobs. And knowing the right approach for your team, along with your company, will have major effects in both the short and long term. Selecting the right one for the right reasons is important to achieve the goals you have.

What will you get out of this webinar?
In this webinar we will go over the pros and cons of Insourcing vs Outsourcing Data Layer management with regards to things such as expertise, cost, resilience, and growth for both approaches.

Who should attend?
This webinar is intended for developers looking to understand the benefits and when it is best to outsource the management of their data layer.

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 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 15, Conference: MLOps Summit (San Francisco)
🔷 Jun 16, Workshop: Build End-to-End Deep Learning Models
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka

Chief Data & Analytics Officers Spring (San Francisco)

Needs a location

Complimentary VIP ticket: please complete registration on the event website:
https://www.aicamp.ai/event/eventdetails/W2022061408

Description:
The premier in-person gathering for data & analytics leaders on the west coast (Venue: Hotel Nikko, San Francisco)

Exclusively designed for the cutting-edge data & analytics leader, focused on aligning data strategy with digital transformation, leveraging data analytics to increase business value, and spearheading a data-driven culture that utilizes data as an engine for growth.

Why attending?
- Network face-to-face safely and securely, and share knowledge with forward-thinking leaders from some of the most recognizable brands in the world
- Hear how your peers are accelerating business transformation towards a data-driven culture
- Refine your strategy to employ cutting-edge technologies such as AI and ML to provide increased business value

More AI/ML/Data tech events up coming (free 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

[In-person Conference] MLOps AI Summit

Needs a location

This is paid, in-person conference in San Francisco, please purchase tickets on the event website:
https://www.aicamp.ai/event/eventdetails/W2022061508

Description:
The premier in-person gathering for MLOps on the west coast.

Discover how to optimize the machine learning lifecycle & streamline your pipeline for better productionTopics we will cover:
- Machine Learning and Troubleshooting
- Automation and Anomaly Detection
- Collaboration and Architectural Practices
- Data Efficiency and Machine Learning Pipelines
- Machine Learning Workflows and Effective Training

Why attending?
- Network face-to-face safely and securely, and share knowledge with forward-thinking leaders from some of the most recognizable brands in the world
- Hear how your peers are accelerating business transformation towards a data-driven culture
- Refine your strategy to employ cutting-edge technologies such as AI and ML to provide increased business value

More AI/ML/Data tech events up coming (free join from anywhere):
🔷 May 31, Webinar: Reasonable Scale Machine Learning
🔷 Jun 7, Webinar: Zookeeper vs Raft: Stateful Distributed Coordination
🔷 Jun 7, Webinar: Built a Data Mesh Architecture
🔷 Jun 16, Workshop: Build End-to-End Deep Learning Models
🔷 Jun 20, Webinar: Run Spark In Large Scale On Kubernetes
🔷 Jun 29, Workshop: Migrating from Confluent Kafka to Apache Kafka

Past events (131)

Photos (149)