From Data to Insights: Implementing Generative AI at Scale

Overview

Join us to delve into the world of Generative AI and its seamless integration into enterprise platforms that handle data on a massive scale. This event showcases the journey from facing implementation challenges to achieving successful deployment, with expert insights from Dynatrace's hypermodel AI Davis.

Ideal for those in the fields of Artificial Intelligence and Computer Science, this course provides valuable knowledge for scaling AI solutions effectively.

Syllabus

• Introduction to Generative AI
Overview of Generative AI technologies
Key concepts and use cases in enterprises
• Understanding Enterprise Data at Scale
Characteristics of petabyte-scale data
Data management strategies for large datasets
• Integrating Generative AI into Existing Platforms
Architecture of enterprise AI platforms
API integration and data pipelines
• Implementation Challenges
Technical challenges in scaling AI solutions
Data privacy and security considerations
• Insights from Dynatrace's Hypermodel AI Davis
Case study: AI Davis in action
Lessons learned from real-world deployments
• Successful Deployment Strategies
Best practices for Generative AI adoption
Metrics for evaluating AI system performance
• Advanced Generative AI Techniques
Machine learning models for Generative AI
Natural Language Processing (NLP) and image generation
• Managing AI at Scale
Monitoring and maintenance of AI systems
Continuous improvement and model updates
• Future Trends in Generative AI
Emerging technologies and innovations
Predictions for the future of AI in enterprises

---

Subjects

Computer Science