AI Deployment Summit - October 23, 2025



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Welcome to Registration for: AI Deployment Summit

2026 TRENDS:

Intelligence as Infrastructure

Generative AI - Claude Code - Intelligent Automation - Private AI
Code Automation & Testing - Data Orchestration - Vector Databases

Title: AI Deployment Summit
Speakers: IBM, NetApp Instaclustr, Glean, OutSytems, Boomi
Date: February 12, 2026 (A Virtual Summit - 10am PT / 1pm ET)
Glean IBM Outsystems NetApp Boomi

 

Attend Online and Learn

AI Deployment Summit - will address top AI and automation technology trends set to shape the enterprise landscape in 2026 - and beyond.

  • AI Coding Agents - From Chatbots to Code Teammates
    AI systems like Claude Code and ChatGPT are redefining how enterprise software is built. Learn how AI coding agents move beyond Q&A to writing, refactoring, testing, and maintaining production code - securely embedded into enterprise workflows, repositories, and governance models.
  • AI-Driven App Lifecycle - Backlogs to Continuous Delivery
    AI-native development platforms collapse the traditional SDLC. Discover how agentic AI accelerates design, coding, QA, security scanning, and deployment, enabling teams to eliminate app backlogs and ship production-ready software faster across cloud, web, and mobile environments.
  • Vector Databases - Unlock Value of Unstructured Data for AI
    Modern AI development depends on context. Learn how vector databases power code intelligence, RAG pipelines, and enterprise knowledge retrieval, allowing AI agents to reason over source code, documentation, tickets, and unstructured data-without manual preprocessing.
  • Intelligent Automation - Rules-Based Apps Now Can 'Think'
    AI transforms automation from rule-based execution to reasoning systems. Explore how AI-powered agents enable dynamic workflows, contextual decision-making, and self-optimizing processes - modernizing RPA and BPA for real-world enterprise complexity.
  • AI Platforms & Development - From Pilots to Production
    Most enterprises recognize AI's potential but struggle to operationalize it. Hear from experts on enterprise-ready AI platforms that support open models, secure APIs, observability, and governance - designed to move teams from experimentation to scalable deployment.
  • AI-Assisted Code Generation - Beyond Drag-and-Drop
    Low-code evolves into AI-generated software. See how AI agents design workflows, generate integrations, write business logic, and adapt applications in real time - dramatically expanding who can build, customize, and maintain enterprise systems.
  • Edge AI & Distributed Intelligence - Real-Time Execution
    AI-powered applications are moving closer to the data. Learn how edge AI enables real-time inference, local decision-making, reduced latency, and improved resilience, supporting intelligent operations across factories, retail, healthcare, and infrastructure.
  • AI-First Observability, AIOps & MLOps - Self-Managing Systems
    As AI builds and runs software, observability must evolve. Discover how AIOps and MLOps deliver full-stack visibility, automated remediation, model monitoring, and self-healing systems, protecting performance, reliability, and business outcomes at scale.