Discover how to successfully integrate Generative AI into a platform, where an AI driven solution serves the largest global enterprises, handling petabyte-scale data collection and monitoring mission-critical applications.
This talk will explore the goals of the Dynatrace platform, its hypermodel AI Davis, the integration process of Generative AI, and the challenges and triumphs encountered on the path to General Availability (GA) release.
Join us to learn about implementing Generative AI at scale and see how we "drink our own champagne"!
This talk will explore the goals of the Dynatrace platform, its hypermodel AI Davis, the integration process of Generative AI, and the challenges and triumphs encountered on the path to General Availability (GA) release.
Join us to learn about implementing Generative AI at scale and see how we "drink our own champagne"!
Thomas Natschläger
Dynatrace
Thomas is the Lead AI/Data Scientist at Dynatrace, influencing the strategic direction and development of data science and artificial intelligence solutions.
He has profound background and deep practical experience in machine learning (ML) and artificial intelligence (AI) gathered from years of R&D to build ML/AI solutions in many different application areas ranging from predictive maintenance over risk-based software testing to forecast systems to generative AI application within the Dynatrace Software Intelligence Platform.
He has profound background and deep practical experience in machine learning (ML) and artificial intelligence (AI) gathered from years of R&D to build ML/AI solutions in many different application areas ranging from predictive maintenance over risk-based software testing to forecast systems to generative AI application within the Dynatrace Software Intelligence Platform.