What we’re about
We aim to provide resources for Web professionals to meet new people, exchange ideas, learn new things, and have a little fun. This group is primarily for social and networking events, and we promote events from other area groups.
Be sure to check the website for a full list of events and other resources. https://tech404.io
Join us on Slack at https://tech404.github.io
Upcoming events
2
- Network event
•OnlineFrom Black Box to Glass Box: Observability for Scalable AI Systems
Online26 attendees from 11 groupsAs AI systems continue to scale, observability has become an essential component for success. This webinar explores two key dimensions: data observability, which focuses on monitoring and improving the quality of data that drives AI systems, and AI observability, which provides transparency and accountability for model performance and decision-making.
Learn practical strategies for building "glass box" AI systems where insights are clear, issues are easy to diagnose, and scalability is seamless.
Key Takeaways:
- Understand Data Observability: Learn how to implement monitoring systems to ensure high-quality, reliable data pipelines for AI systems.
- Explore AI Observability: Discover tools and techniques for monitoring AI models, ensuring they are transparent, unbiased, and explainable.
- Bridge the Gap: Integrate data and AI observability practices to achieve robust, scalable, and trustworthy AI deployments.
Panelists to be announced soon
Register Here4 attendees from this group - Network event
•OnlineNot Just for Engineers: What Agentic Data Management Unlocks
Online1 attendee from 11 groupsMost conversations about automating data workflows center on the engineering stack—but that’s only part of the story. The real payoff comes downstream, where data scientists, analysts, and business leaders need fast, reliable access to data to make informed decisions. In this session, the Matillion team will demonstrate how an agentic system like Maia shifts repetitive data tasks into autonomous execution, freeing up teams to focus on high-impact analysis and modeling.
We’ll walk through how this shift reduces backlog, accelerates time-to-insight, and increases trust in the data that drives both machine learning pipelines and executive dashboards. Through real-world examples, attendees will see how agentic workflows empower the entire data organization—not just engineering.
Key Takeaways:
1️⃣ Workload Lift for Analysts & Scientists: How automation reduces manual prep and speeds up modeling cycles
2️⃣ From Backlog to Business Value: How agentic orchestration gets more data into production, faster
3️⃣ Organizational Trust in Data: Why agentic systems improve confidence in the data used for decision-making
4️⃣ Cross-Functional Impact: How these changes improve collaboration between data engineering, analytics, and leadership teams
PANELISTS TO BE ANNOUNCED SOON
Register here1 attendee from this group
Past events
379
