Upcoming Events
Implementing Your AI Breakthroughs Effectively - The Infrastructure to your AI
November 6, 2024
Grab a coffee together with your IT Ops Manager, as we discuss different AI infrastructure environment options to suit your use case. Consider what processes are necessary, who will be involved, and what resources you already have to build a toolbox that integrates all the AI components together seamlessly. You don’t have to be an AI infrastructure expert to get started, so let’s explore how you’ll get your AI proof of concept implemented.
How to fix your biggest security hole
November 20, 2024
Are your users doing everything right to keep your systems secure? What we need is an access control system that is understandable, works on premises, in multiple clouds, object stores, file systems, relational databases and specialized hardware. This access control system must be able to be deployed incrementally, integrate with existing systems, simplify audits, and support formal verification of compliance. This session will describe how you can have all of that in a simple and understandable access control system.
Picking the right software for your AI Use Cases
December 11, 2024
Identifying and integrating the right software into your AI infrastructure to manage data pipelines, develop, and deploy AI/ML and GenAI models is no easy task. We’ll explore AI software solutions that can give your teams a competitive advantage, from prototype to secure deployment of your AI models, across your evolving AI use cases.
LL-Mesh – Democratizing Gen AI
December 18, 2024
LL-Mesh is a pioneering initiative by HPE aimed at democratizing Generative Artificial Intelligence (Gen AI). It empowers users to create tools and web applications using Gen AI with Low or No Coding. This approach addresses the technical challenges by simplifying the integration process. Join this session to learn how LL-Mesh platform allows for the creation of a "Mesh" of the Gen AI tools, providing orchestration capabilities through an agentic Reasoning Engine based on Large Language Models (LLMs).