Building a Software Factory Your Team Actually Trusts

Calling all AI FinOps enthusiasts! Join us for an evening of live demonstrations, presentations, discussion, and Q&A. Dallas AI presents a developer-focused technical session with the Datacolor Ai team, entitled "Can Better Reasoning Make Smaller Models Perform Like Frontier Models?". Presenters: Saravana Omprakash\, Chief AI and Data Officer\|Co\-founder\, Datacolor Ai Colin Hare, EVP of Global Analytics & Growth Consulting, Circana Datacolor will provide demonstrations using their GSR (General Symbolic Reasoning) approach and real agentic/code-generation workloads. The session will engage the developers in exploring a broader architectural idea: as models become commoditized, how much intelligence should live inside the model versus in the system surrounding it? The session will be interactive and the audience will see the actual architecture, evaluation methodology, and results, and will be invited during the session to challenge the approach with workloads where they think it will fail. Session highlights: Frontier model vs. lower-tier model vs. lower-tier model + GSR How GSR decomposes a problem, creates an execution/reasoning plan, applies constraints, invokes the LLM and verifies the result Live or recorded execution traces showing where smaller models normally fail and how the reasoning layer changes the outcome Benchmark results across quality, tokens, cost and latency Real-world results where we have seen 40–70% lower model cost while maintaining comparable output quality Where this approach works—and, importantly, where it doesn't Technical Discussion Hosts: Protik Mukhopadhyay\, CEO\|Co\-founder\, Datacolor Ai Babar Bhatti\, Chief AI Officer\|Co\-founder\, Dallas AI

Building an AI agent prototype is easy; making it reliable, observable, secure, and production-ready is where the real engineering starts. Join us for the Agentic AI Foundation (AAIF) Dallas Chapter Launch. This edition is all about practical engineering—no hype. We are bringing together local AI engineers, platform architects, cloud practitioners, SREs, and developers to break down how real teams ship production-grade AI systems. 💡 What We’ll Cover: ⚙️ Production AI Agent Architectures & Enterprise Deployment 🤖 Multi-Agent Systems & Workflow Orchestration 🛠 Agent-to-Agent Protocol, & MCP (Model Context Protocol) Integration Who Should Join? Whether you are an AI/ML Engineer, Cloud Architect, DevOps/SRE lead, Startup Founder, Researcher, or Student, this meetup will deliver actionable insights and solid architecture patterns you can apply right away. Agenda 1:45 PM — Doors open & networking 2:00 PM — Welcome: AAIF Community Dallas 2:05 PM — AAIF Projects - Agent Architecture from protocol standards to production control planes 2:35 PM - Sayan Mukherjee (HEB) and Anirban Banerjee - Steps to Build Responsible Agentic AI Foundations 2:50 PM — Sirisha Karra (Google): Agent-to-Agent Protocol 3:35 PM — Jotsna Praveena: Agent Observability 4:10 PM — Wrap-up 4:30 PM — End! Speakers? Sayan Mukherjee - Data and AI Governance Leader, H-E-B Anirban Banerjee - Independent researcher Sirisha Karra - Sr Cloud Architect, Google Jothsna Praveena - Lead AI Engineer, Infosys Pramod B N - AI Engineer 📋 Prerequisites: No deep Agentic AI experience required! A basic understanding of Python, cloud platforms, or LLMs will help you get the most value. No prior Agentic AI experience is required. A basic understanding of Python, cloud platforms, or LLMs will help you get more out of the sessions. The livestream for this event is available at: https://stream.meet.google.com/stream/c0269f83-f6c5-4376-8712-87938984410a for all virtual participants. If you are interested in sponsoring this event,