Unlocking AI’s Value in Asset Management with Databricks and DataArt

Asset managers have invested heavily in AI—but most remain stuck in pilot mode. This whitepaper explains how Databricks and DataArt help firms move from experimentation to measurable enterprise value through trusted data foundations, governed pipelines, and scalable AI that delivers transparent results for boards, regulators, and clients.

Download the 2025 Whitepaper to Learn How To:

  • Build a trusted, unified data foundation on Databricks to eliminate silos and accelerate analytics
  • Implement compliance-grade governance, lineage, and auditability embedded directly into data pipelines
  • Scale from 4–6 week pilots to enterprise-wide AI adoption using a structured Readiness → Pilot → Scale → Outcomes methodology
  • Deploy AI/ML for investment research automation, risk optimization, attribution transparency, and client engagement
  • Strengthen trust with boards, regulators, and clients through explainable, high-quality, real-time insights
  • Leverage DataArt’s modular accelerators, domain expertise, and Databricks-native engineering to reduce operational cost and increase speed to value

Why This Matters Now

  • Data fragmentation across market, portfolio, and client systems limits scale.
  • Compliance expectations (SEC, FCA, ESMA) now require full lineage and explainability.
  • Poor data quality costs firms an estimated $12.9M annually.
  • Siloed AI initiatives fail to reach production without reliable data and governance.
  • Boards are demanding results, not proofs of concept.

Who It’s for

A practical guide for:

  • CTOs, CIOs, Heads of Data & AI
  • Chief Risk & Compliance Officers
  • Heads of Investment, Research, and Client Reporting
  • Enterprise Architecture & Modernization Leaders

Brought to You by DataArt & Databricks

DataArt and Databricks provide the technology, accelerators, and engineering expertise to help asset managers build data platforms that scale and AI models that regulators trust.

The strategic alliance enables:

  • End-to-end data + AI implementation
  • Modular governance & quality frameworks
  • Production-ready MLOps
  • Financial-domain delivery models backed by 20+ years in capital markets

Get the Whitepaper

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