IBM Developer KSA

Today's enterprise IT landscapes are complex, with diverse integrations, on-prem and multi-cloud deployments, multiple gateways, and more. Gaining control over this complexity is critical to maintaining the agility necessary to succeed. Learn how a hybrid control plane can help you manage this complexity from a single place, even when execution is distributed among multiple environments.

With IBM's Hybrid Control Plane, enterprises can gain unified visibility and centralized control over multiple integration patterns — across on-prem, cloud, and hybrid environments—helping reduce silos, improve governance, and simplify operations.

Attend this webinar and learn how you can:

• Address issues faster - Streamline monitoring and troubleshooting, improving response times and reducing the burden on IT teams
• Accelerate time to value - Onboard and deploy integrations faster
• Manage across your entire ecosystem - Gain visibility and governance across third-party tools and platforms, supporting a vendor-neutral integration strategy

Description
NLIP (Natural Language Interaction Protocol) is a project defining an interoperable protocol for user-to-agent and agent-to-agent natural language interactions. In this talk, Tom will describe the goals of the NLIP project and then demonstrate a proof of concept agent network built using NLIP. One of the agents is an AllyCat instance that has been modified by giving it an NLIP server. By adding NLIP to the AllyCat server, it is immediately available to Chat Clients and other Agents, making it part of an expanding network of agents.

Speaker bio

Tom Sheffler is a computer engineer currently working towards interoperability of secure agentic systems. He is also a solution architect with UnifabriX - a maker of CXL memory pooling systems for memory-bound HPC applications. Previously, Tom built global web applications for managing and scaling genomics computations at Roche. As an entrepreneur, he founded the cloud-based video analytics company, Sensr.net, that provided a consumer solution for home security cameras. Tom was an early employee at Rambus where he worked on the architecture and verification of high-speed memory devices.