What’s holding asset management firms back from moving beyond AI and GenAI prototypes and truly scaling AI innovation? According to InterSystems the answer is clear: data readiness is the critical foundation.
Recent research from Cutter Associates, Harvard Business Review, and EY reveals that nearly 60% of asset management firms are prioritising AI and analytics to drive innovation. Yet, legacy technology, siloed data, and governance challenges are major roadblocks. In fact, 83% of senior leaders admit their AI adoption would be faster with stronger data infrastructure.
Gain insights into the asset management industry’s:
- Top challenges—like data quality, discoverability, and access—and how a modern, flexible data architecture paired with robust governance can unlock self-service analytics and real-time insights.
- Power of managed solutions and smart data fabric architectures, which allow firms to modernise rapidly, reduce technical debt, and empower teams to focus on high-value initiatives.
- Real-world results—one mid-sized asset manager cut time-to-market for new products by more than half and reallocated hundreds of hours to innovation—by partnering with InterSystems.
Download this industry insight to discover the strategies, technologies, and proven approaches that leading asset managers are using to accelerate AI adoption and gain a competitive edge.