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Report

Optimizing Earnings Analysis Opportunities with AI-Driven Intelligence

Asset managers globally are at increasingly critical crossroads to navigate shifting market dynamics along with emerging generative AI technologies. The ability to harness real-time intelligence and differentiated insights is essential for investment managers to maintain a competitive advantage.

Earnings analysis plays a key role in research workflows and is often riddled by time-consuming, manual, and potentially short-sighted tasks. Generative AI presents opportunities to overcome these challenges and not only optimize workflows, but surface strategic insights that are critical to generating alpha.

In this report, learn how solutions like AlphaSense are purpose-built to streamline and enhance earnings analysis, ushering in a new era of earnings season intelligence.

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Enterprise Software: Assessing AI Adoption Trends

Generative AI is moving from isolated pilots to full-scale deployments, with adoption accelerating in areas like software development and IT service management.
Title slide: Enterprise Software: Assessing AI Adoption Trends, by Michelle Brophy and Sean Carmichael, featuring a computer illustration and AI logo.

From Promise to Performance: How AI Will Evolve in 2026

2025 was the year generative AI grew up, shifting from isolated experiments to integrated systems. What also emerged was a clearer picture of how AI will continue to mature in 2026.
Title slide: From Promise to Performance: How AI Will Evolve in 2026 by Sarah Hoffman, Director of AI Thought Leadership, with abstract tech graphics.

Most-Favored-Nation Policy: Implications for European Drug Launches

The U.S. shift toward most-favored-nation (MFN) drug pricing is forcing pharmaceutical firms to rethink their pricing models and launch strategies in Europe.
U.S. Most-Favored-Nation Drug Pricing Policy: What Does It Mean for Europe? by Sara Mallatt and Sean Carmichael, with a stylized map of Europe.

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