The success of AI projects depends on something that is often overlooked: effective data management.

In this TechTalk, we dive into the complex relationship between AI and data management and how these two disciplines can reinforce each other to drive operational efficiency and innovation in organisations.

AI and ML rely on multiple data sources. To use them effectively, companies need to address issues around data provenance, protection and quality. At the same time, AI models need to be carefully managed in the context of enterprise data lifecycle management. Conversely, AI plays an important role in scaling data management practices: Companies need to identify, catalogue and cleanse their data to ensure its relevance, value and security. AI can help automate and simplify data management tasks.

Join us to gain valuable insights and best practices for your own AI projects together with Dr Martin Hebach!

As Senior Solutions Architect at Informatica has Dr Martin Hebach over almost a decade of experience in the development and continuous evolution of cloud-based data management systems. This includes a special focus on analytics and reporting applications as well as robust data platforms, especially in the context of digital transformation initiatives. Martin Hebach has extensive expertise in IT management, enterprise architecture and consulting and has successfully worked with international companies and larger medium-sized enterprises in the financial, automotive and life sciences industries.

When: 19.10.23 - 10:00 AM - 11 AM