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

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