Qualitative data for AI & ML:
insights from AstraZeneca, Elixir and ONTOFORCE

Join us for an engaging webinar on the significance of harmonized data in advancing AI and ML applications within life sciences. Hosted by industry experts from AstraZeneca, Elixir and ONTOFORCE, this thought leadership session promises to unveil the transformative power of clean data in driving innovation, enhancing predictive analytics, and informing critical decision-making processes.

The why and how of data quality in AI & ML. Lessons from AstraZeneca, Elixir and ONTOFORCE Webinar ONTOFORCE (1)

Agenda:

Learn more about the importance of managing high-quality core data assets, exploring the FAIR principles, and more, by Elixir.
Discover how knowledge graphs can facilitate seamless integration, analysis, and utilization of data for AI and ML-driven insights, by ONTOFORCE
Best practices from AstraZeneca in leveraging harmonized data for AI and predictive analytics
Q&A

Fill out the form to register

Speakers

Fabio Liberante

Programme Manager Data & Interoperability Platforms
ELIXIR

Bérénice Wulbrecht

VP Solution Enablement,
ONTOFORCE

Mathew Woodwark

Head of Data Standards and Interoperability, R&D Data Office
AstraZeneca

Who should join?

Senior profiles in research and IT, along with others that are interested in advancing data, AI, and new technologies in life sciences organizations.

Data scientists
Data managers
VP data and AI

Scientific researchers
Heads of research & development
Director data strategy & governance

Bioinformaticians
Director data science
Industry leaders and decision-makers

Explore other resources

Webinar

Qualitative data for AI & ML:
insights from AstraZeneca, Elixir and ONTOFORCE

Agenda:

Fill out the form to register