Live webinar

Databricks AI

Become a productive chatbot in 5 days

Thu, April 30
11:00 - 12:00
gratuitous

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.

  • Impulses from industry experts
    Short, practical presentations on data & AI in the energy sector
  • Interactive discussions
    Possibility to exchange between gears
  • Culinary experience
    3-course dinner with fine wines

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

Thank you

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These are your data experts in this webinar

Andreas Schiffer

Senior Data Engineer

Andreas specializes in developing scalable and efficient data solutions and has experience with both legacy technologies and the modern data stack — such as Snowflake, Databricks, dbt and Power BI. His focus is on process automation and data-driven decision-making processes, also in the context of GenAI. In this way, it enables companies to be more agile and future-proof.

Tobias Scheffner

AI Consultant

As an AI consultant, Tobias helps companies automate processes and design and implement tailor-made AI solutions. In doing so, he places particular emphasis on involving people in the process of change and development and developing solutions that create real added value for all stakeholders. In addition, he supports teams with training to make AI understandable and practical.

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