Ayelet Ofarim | Principal Solutions Consultant & Scientific Business Development
CAS
Ayelet Ofarim is a Principal Solution Consultant at CAS. She specializes in understanding complex scientific, data, and innovation challenges and guiding the design of custom solutions that leverage CAS’s deep strengths in scientific data management, advanced indexing, and AI. Ayelet focuses on translating multifaceted client needs into tailored, data‑driven architectures that combine curated CAS content with domain expertise. Her work centers on shaping workflows that integrate structured scientific data with analytics and machine‑learning models, enabling outcomes that extend far beyond standard off‑the‑shelf tools.
Appearances:
Day 1: 27th May @ 14:40
Panel: Why Quality Data Isn’t Enough: Building the Architecture for Scalable AI-Ready Data?
- Why does event "high-quality" data often fail to produce reliable AI models?
- Is the real bottleneck for AI the lack of data, or is it a fundamental failure in our data governance and structuring foundations?
- Why are standard IT data models failing in pharma R&D?
- How do you build a sustainable data foundation for tomorrow’s AI when you are still struggling with "siloed" legacy data from a decade ago?
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