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Maximizing Investment Banking Resources with Generative AI

Experts are forecasting a strong return to dealmaking in 2025, following signs of a warm-up in 2024 and a shift from M&A levels at 20-year lows.

The investment banking industry has faced recent scrutiny over analyst workloads, and some firms have even instituted capped workweeks. With a resurgence in dealmaking, teams will be faced with balancing a demanding deal environment with limited resources.

In this white paper, discover how advancements in generative AI are transforming the dealmaking landscape, empowering analysts to capitalize on the technology and bring tremendous time-savings and sharper insights to their pitches.

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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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