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PRIZM by DQLabs: The Self-Driving Platform for AI-Ready Data 1024 535DQLabs
    Webinar

    PRIZM by DQLabs:
    The Self-Driving Platform for AI-Ready Data

    Register Now

    April 29, 2026 | 11:00 AM EST

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    Why You Should Attend

    Know How PRIZM Enables
    AI-Readiness for Your Enterprise

    AI-Native
    Multi-Agent Architecture

    PRIZM deploys autonomous, role-driven AI agents that continuously profile, prioritize, analyze, and remediate data issues while reducing manual intervention.

    Unified Context
    Across Data Ecosystems

    PRIZM unifies observability signals, data quality metrics, lineage, usage, and business context into a single operational control plane.

    Criticality-Driven
    Prioritization

    PRIZM identifies business-critical data assets and prioritizes monitoring and remediation based on downstream impact and enterprise risk exposure.

    Built for
    AI-Ready Data at Scale

    PRIZM continuously evaluates data fitness for analytics, machine learning, and GenAI to enable trusted, scalable AI initiatives.

    Register Now

    Enterprise AI initiatives are accelerating, yet most data foundations remain manual, fragmented, and reactive, with agent overlays carrying forward legacy blind spots.

    In this Webinar session, discover why self-driving platforms require more than just tools or automation overlays. Learn how PRIZM by DQLabs, a self-driving data platform, introduces an AI-native control plane that understands context, learns patterns, autonomously evaluates trust, prioritizes risk, and resolves issues before they impact analytics or AI.

    Join Raj Joseph, Founder & CEO, DQLabs, as he shares how PRIZM is redefining enterprise AI readiness with AI-ready data foundations.

    What We’ll Cover

    • Why legacy data foundations fail AI-scale demands
    • The role of self-driving, AI-native control planes in enterprise data trust
    • How PRIZM enables trusted, AI-ready data by design
    Raj Joseph
    Raj Joseph

    Founder & CEO, DQLabs

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    Don't Miss An Exclusive Sneak Peek of PRIZM

    DQLabs offers PRIZM, which is an AI-native platform that unifies context, data observability, and quality into a single control plane that continuously understands data, evaluates its trustworthiness, and operates across the enterprise. PRIZM is used by enterprises to detect, explain, and resolve data issues before they impact analytics or AI systems and orchestrate resolution with minimal human intervention, while keeping humans in control through AI stewardship.

    Experience PRIZM’s Impact Across Data Roles

    Register Now

    • Chief Data Officers (CDOs)

      Senior leaders driving data strategy, trust, and AI readiness across the enterprise.

    • Data Governance Teams

      Teams defining data standards, policies, and enterprise-wide trust frameworks.

    • Data Stewards & Data Quality Practitioners

      Hands-on owners of data health, consistency, and domain-level trust.

    • Data Architects & Engineers

      Teams responsible for building, monitoring, and scaling reliable data pipelines and platforms.

    • Data Scientists & Analysts

      Practitioners who rely on trusted, high-quality data to deliver accurate insights, models, and business decisions.

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