In this meeting capabilities of our ai attack platform were explored, focusing on its AWS implementation. Here’s a brief summary of what wecovered:

Introduction to Bedrock API:

•Detailed overview of the core component that powers our platform.

Product Exploration:

•Insight into the various products we offer, enabling you to develop your own solutions on AWS.

•How to leverage our built-in expertise to enhance your projects.

Hands-On Demonstration:

•Practical showcase of how to effectively utilize these tools in your workflows. 

In this session, we explored the LLMOps Template, created to streamline large language model (LLM) development and deployment at Siemens.

The session covered the template's key functionalities and the benefits it offers to Siemens users.

•The versatility of the tool was demonstrated, showing how it can simplify LLM-powered projects, from the initial development setup tooperational deployment.

•We also showcased the support our team can provide to help you leverage the LLMOps Template effectively.

The session was about Siemens KPI Forecast, a tool that simplifies KPI prediction without requiring advanced data science skills.
Highlights:

•User-Friendly Interface: Transform historical data into predictions easily, without coding.

•Foundation Models: Demonstrated their impact on time series analysis and forecasting.

•API Integrations: Seamlessly integrate forecasting tools with your existing systems.

•New Feature: Large Language Models that explain forecast results in plain language.