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Financial Services in 2025: Unified Data with More Proactive, Autonomous AI

Generative AI is transforming financial services by enhancing research and collaboration, risk management, customer engagement, and portfolio innovations. Firms are leveraging genAI to streamline workflows, improve decision-making, and automate complex processes. By unifying internal proprietary data with premium external datasets, financial institutions are unlocking real-time intelligence and predictive capabilities.

As AI becomes more proactive and autonomous, financial services firms can expect even greater efficiency, deeper insights, and more seamless risk management—fundamentally reshaping how they operate.

In this report, discover:

  • How genAI is enhancing research, risk management, customer engagement, and portfolio innovation in financial services
  • The role of unified data in driving AI-powered insights and decision-making
  • What to expect as AI shifts from assistive to autonomous, enabling proactive, real-time actions across financial operations and customer interactions

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How SuperAnalyst Surfaces M&A Intelligence

In this report, discover how SuperAnalyst from AlphaSense surfaces the facts, figures, and expert perspectives behind 2026’s defining M&A trends: mega deals, creative PE exits, AI as a deal catalyst, sector consolidation, and what it all means for 2027.
Graphic titled "How SuperAnalyst Surfaces M&A Intelligence" by Barb Tague, featuring a blue grid, curved wireframe geometric shape, and two puzzle pieces on a navy blue background.

How Family Offices Are Leveraging Trusted AI at Scale

While AI adoption is widespread among institutional investors, only 22% of family offices use AI with regularity. Data privacy and trustability largely remain barriers to adoption.
How Family Offices Are Leveraging Trusted AI, with an isometric line drawing of an office desk and chair.

Security, Privacy & Trust in the Age of AI

In this report, discover the foundational questions and principles that firms should be requiring of AI providers as they prioritize scaling trustworthy AI infrastructure.
Cover graphic titled Security, Privacy and Trust in the Age of AI, by Lawrence Sica, VP of Product Security, with line icons of a folder, an eye, a padlock, and a shield

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