What we’re about
We're a group of technologists / enthusiasts / curious people who discuss emerging trends, best practices, and implementation stories around Big Data solutions.
Upcoming events
8
AI Webinar Series - Building AI Agents From Prototype to Production
•OnlineOnlineImportant: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.
Description:
Welcome to the weekly AI Deep Dive Webinar Series. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
More upcoming sessions:
- Jan 21st: AI Webinar - Evaluating AI Agent Reliability
- Jan 7th: AI Meetup (Virtual) - Agent Systems and LLM Compression Deep Dive
Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers
6 attendeesAI Webinar Series - Evaluating AI Agent Reliability
•OnlineOnlineImportant: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.
Description:
Welcome to the weekly AI Deep Dive Webinar Series. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.
Tech Talk: Evaluating AI Agent Reliability
Speaker: Anupam Datta (Snowflake) | Josh Reini (Snowflake)
Abstract: Agents often fail in ways you can’t see. They could return a final answer while taking a broken path: drifting from the goal, making irrational plan jumps, or misusing tools. Was the goal achieved efficiently? Did the plan make sense? Were the right tools used? Did the agent follow through?
These hidden mistakes silently rack up compute costs, spike latency, and cause brittle behavior that collapses in production. Traditional evals won’t flag any of it because they only check the output, not the decisions that produced it.
This session introduces the Agent GPA (Goal-Plan-Action) framework, available in the open-source TruLens library. Benchmark tests show the Agent GPA framework consistently outperformed standard LLM evaluators, giving teams scalable and trustworthy insight into agent behavior
- 95% error detection (vs. 55% baseline methods)
- 86% accuracy in pinpointing where an error occurred (vs. 49% baseline methods)
- Human reviewers using the GPA framework caught 100% of the internal agent errors in the TRAIL/GAIA dataset.
You’ll learn how to inspect an agent’s reasoning steps, detect issues like hallucinations, bad tool calls, and missed actions, and leave knowing how to make your agent truly production-ready.
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics
More upcoming sessions:
6 attendees- Network event
Not Your Typical AI Webinar: 4 Practical Tips for Real Results
•OnlineOnline6 attendees from 11 groupsTired of AI sessions full of hype and light on substance? This webinar skips the buzzwords and gets straight to what works. Hear from a seasoned panel of analysts, data scientists, and business leaders as they share field-tested strategies for making AI actually deliver.
You’ll walk away with practical questions to ask before your next AI project launches, learn how to connect your data initiatives to real ROI, and avoid common traps that derail transformation efforts. With decades of combined experience helping organizations navigate the messiness of modern data and AI, this panel is here to cut through the noise.
Panelists:
📢 Stephen Assink, Technical Business Analyst
📢 Shaylee Davis, Data Scientist
📢 Josh Fairchild, Senior Technical Business Analyst
📢 Leah Severance, Director of Commercial Business Development
📢 Ramzi Ziade, Learning Engagement Manager
Key Takeaways:
1️⃣ Ask Smarter Questions: Learn the must-ask questions that separate successful AI projects from the ones that stall out.
2️⃣ Get ROI, Not Just Reports: Explore techniques to connect AI efforts to clear, measurable outcomes.
3️⃣ Bridge the Gaps: See how cross-functional collaboration between business, data, and learning teams unlocks value.
4️⃣Learn from the Field: Hear what’s actually working (and what’s not) from professionals who’ve been in the trenches.
Register Here - Network event
Beyond the Prototype: What It Takes to Build Enterprise-Grade AI
•OnlineOnline14 attendees from 11 groupsThe AI landscape is cluttered with impressive demos and promising proofs of concept—but turning those early wins into real, scalable impact is a different challenge entirely. This webinar dives deep into what it actually takes to evolve from experimentation to production in enterprise AI.
Join a panel of experts who have built and deployed AI at scale to explore the operational, architectural, and organizational requirements that separate enterprise-ready AI from pilot projects that never leave the lab. We'll cover how to navigate infrastructure decisions, design for governance and observability, and build systems that are robust, compliant, and built to last.
Key Takeaways:
1️⃣ From Idea to Impact: What separates successful enterprise AI deployments from stalled prototypes.
2️⃣ Architecting for Scale: Best practices for building AI pipelines that are modular, maintainable, and audit-ready.
3️⃣ Trust and Governance: How to bake in model observability, compliance, and responsible AI from day one.
4️⃣Collaboration Across Functions: Why cross-team alignment (ML, IT, data, product) is essential—and how to make it work in practice.
5️⃣ Lessons from the Field: Real-world insights from leaders who’ve scaled AI across industries.
Panelists to be announced soon.
Register here1 attendee from this group
Past events
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