O nas
Enterprise AI isn't about demo day — it's about deployment day.
We're a community for practitioners building, deploying, and scaling AI inside enterprises. Not proofs-of-concept that gather dust. Not buzzwords. Not slideware. We're here to tackle the hard problems: integration, deploying, governance, monitoring, security, ROI, and the messy middle between pilot and production.
We regularly invite tech leads, engineers, data scientists, and decision-makers from enterprises to:
- Learn from practitioners who've shipped AI at scale
- Share the hard-earned lessons — what broke, what worked, what they'd do differently
- Showcase real solutions to real enterprise problems
You belong here if you're:
- A developer, engineer, or data scientist building AI into enterprise systems
- A tech lead or architect designing AI infrastructure and pipelines
- A tech decision-maker evaluating, adopting, or governing AI in your organization
- Anyone who wants to move beyond the hype and learn what actually works in production
If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai
Nadchodzące wydarzenia
2
Google AI Deep Dive (Ep 6) - Platform Engineering on GKE using Gemini
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
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.
The AI Deep Dive Series is a hands-on virtual initiative designed to empower developers to architect the next generation of Agentic AI. Moving beyond basic prompting, this series guides you through the complete engineering lifecycle using Google’s advanced stack.
You will master the transition from local Gemini CLI environments to building intelligent agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP), culminating in the deployment of secure, collaborative Agent-to-Agent (A2A) ecosystems on Google Cloud Run. Join us to build AI systems that can truly reason, act, and scale.Workshop: Platform Engineering on GKE using Gemini
Speaker: Olivier Bourgeois (Google)Venue:
Virtual, join from anywhereMore virtual sessions:
- Dec 9th: AI Webinar - Durable Execution for Agents. RSVP
3 uczestników
AI Webinar (Diagrid and AWS) - Durable Execution for Agents
·OnlineOnlineImportant: Register on the event website to receive the joining link. (rsvp on meetup will NOT receive anything).
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.
Welcome to the AI Deep Dive Series (Virtual) with Diagrid and AWS. Join us for deep dive tech talks on AI, GenAI, LLMs, Agentic AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.
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.Tech Talk: Agents That Won’t Quit: Durable Execution on Amazon Bedrock AgentCore
Speaker:- Mark Fussell, Co-founder & CEO, Diagrid
- Yaron Schneider, Co-founder & CTO, Diagrid
- Jean Malha, Principal Specialist Solutions Architect, AWS
Abstract: Amazon Bedrock AgentCore gives agents secure, isolated compute, managed identity, memory and access to Bedrock models. Agents that run multi-step tasks over minutes or hours depend on external models, tools and APIs, where timeouts, rate limits, errors and redeployments are a normal part of operating at scale. These agents require durable execution. This session adds Diagrid Catalyst as the agentic durable execution layer on AgentCore, so agent runs complete reliably and every step is verifiable.
With durable execution, an agent interrupted mid-task, by a failed tool call, a timeout or a redeploy, resumes from its last completed step, without re-running completed model calls or tool calls. With verifiable execution, every step is cryptographically signed and traceable to the agent that ran it, producing a tamper-evident record that auditors and risk teams can check. You keep your existing Strands, LangGraph or Mastra code, run on AgentCore and Bedrock, and add one Diagrid package.
Who should attend
AI engineers, architects and platform teams building agents on AgentCore and Bedrock, especially teams in regulated industries such as financial services and healthcare that need an auditable record of agent actions.Venue:
Virtual, join from anywhereMore virtual sessions:
- Dec 4th: AI Deep Dive with Google Ep 6. RSVP
2 uczestników
Minione wydarzenia
232
