AI Leadership & Strategy
AI seems to dominate every conversation in every business. As AI leaders develop and launch new capabilities and the market crowds with solutions, it can become difficult to track how best to evaluate their potential for your business and how best to integrate them into your workflows. In this track, experts will help start to untangle this complexity and effectively evaluate and implement AI tools into your organization.
Frameworks, Tools, and Applied AI
Developers building agentic applications, AI-enabled bots, or other software that integrate AI technologies and models will learn from experts on topics including how to leverage and customize LLMs and other generative AI techniques through retrieval augmented generation (RAG), engineering prompts that return effective results, how to make AI integration easier with frameworks such as LangChain, and how to integrate AI directly into the development workflow using AI co-pilots.
Data Access, Management, and Operations
Data engineers supporting AI training and application workloads both in local datacenters and in the cloud share their experience and best practices on topics including streaming data, managing and applying vector and similar databases, cleaning and preparing data for ingestion, maintaining and optimizing workflows using MLOps / AIOps best practices, and more.
Productizing AI
Product leaders who have successfully integrated AI share their experience developing and managing roadmaps that include AI technology, identifying and designing solutions uniquely suited for AI’s capabilities, the secure and ethical application of AI to customer data, and the considerations required when taking a new AI product to market.
AI Case Studies & Success Stories
Hear from technical experts and industry leaders who have successfully forged a path forward in their AI roadmap as they share their best practices, how they measure success, the personas and customer challenges they target, and how to best bring about real organizational change as AI is rolled out across the organization.
AI Security, Ethics, Governance & Compliance
The growing power of AI is impressive, but researchers continue to place strong guardrails around their models to keep them from being used nefariously. In this track, we’ll explore the security topics relevant for AI researchers and implementors, surfacing best practices and processes that will keep your data, your users, and your AI models and system safe from bad actors and inadvertent activities.