Webinar
Building trustworthy AI systems to drive bottoms-up enterprise-wide adoption
Eléonore Crespo
co-Founder & co-CEO
Olivier Pomel
Co-Founder and CEO
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Pigment is a leading alternative for strategic planning
Anaplan
Pigment natively integrates with over 30 business applications (ERP, CRM, HRIS, BI solutions and more).
Native integrations are limited to fewer than 10 business applications using the Anaplan Data Orchestrator.
Pigment is a natively sparse engine and workspaces are not limited in capacity.
Standard Workspace size is limited, and additional products may be purchased to manage larger volumes of data up to a limit of 720GB.
Data is shared across business functions without needing to manage imports between models.
Data imports must be set up and maintained to copy data across multiple models.
Data updates happen automatically, without end users needing to trigger a data refresh for real-time planning and visibility of changes.
End users must refresh their pages to see the effect of data updates by other users while working in the same model.
Data inputs can be made by end users while imports and data recalculations are in progress.
End users are prevented from making changes to the model while data imports, exports and susbtantial recalculations are in progress.
About this event
Hear from Olivier Pomel, co-Founder and CEO at Datadog, and Eléonore Crespo, co-Founder and co-CEO at Pigment, on how AI is transforming decision-making and how leaders can create transparency, enforce accountability, and build trust into AI systems that increasingly act on their own.
What you’ll hear about:
- AI-native observability, self-healing systems, AI decision transparency in this new era
- Trust, risk & reliability in AI Systems: false positives, black-box models, calibrating trust for mission-critical decisions
- Building AI-ready organizations: bridging AI engineers & data teams, guardrails for agentic AI, human vs. automated decisions
- Leadership & cultural transformation in an AI-accelerated Company
- Spotting real value vs. hype, enterprise opportunities & risks, and bets for 2030
