Databricks AI
Become a productive chatbot in 5 days
Live webinar
Content of the live webinar
Successful AI needs clear strategic cornerstones: scalable architecture, strong governance, simple data integration, and measurable evaluation.
With these pillars, Databricks AI offers a central solution that eliminates hurdles between user and developer and makes chatbots available for your first use cases within just 5 days.
In our webinar, we will give you an overview of how Databricks enables companies to implement AI strategies and make results measurable. We show which architectural decisions are important, how teams work together efficiently and how to accelerate proof-of-value.
The webinar is aimed at decision makers who not only want to evaluate AI, but also want to implement it and need the right basis for doing so.
This is what you can expect:
- Find the right AI platform for your business: insights into scalability, governance, data integration, and evaluation
- How to a production-ready chatbot in 5 days: Setup, context and challenges
- AI Genie & Databricks One: Chatbots & no-code analysis for the entire team
- Mosaic AI in focus: agent framework, MLflow, vector search, model training

What is Microsoft Fabric?

Microsoft Fabric is a comprehensive, AI-powered all-in-one data and analytics platform that brings together various data sources and services, such as Power BI, Azure Synapse Analytics, and Azure Data Factory, into a unified environment. The platform is based on a software-as-a-service (SaaS) model, which makes it easy to implement and manage.
For companies, Microsoft Fabric offers a scalable and flexible solution to map the entire data journey from data creation to efficient use.
We are a Fabric Featured Partner!
This exclusive recognition is given to partners who can demonstrate outstanding expertise in using the Microsoft Fabric platform to deliver innovative data and AI solutions.
These are your data experts in this webinar

Andreas Schiffer
Senior Data Engineer

Tobias Scheffner
AI Consultant
Previously on BI & Breakfast Tableau
Missed it unfortunately? Here you can read about what we have already discussed and which topics we might want to expand on in the future.
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