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Beyond the Hype: Maximizing Knowledge Discovery with Today’s Generative AI

Following its breakthrough year, generative artificial intelligence (genAI) is expected to grow more than 20% annually, burgeoning to $207 billion in market volume by 2030. Increasingly, the C-suite is realizing that leveraging genAI is key to staying competitive and solving internal knowledge deficiencies.

With the amount of proprietary information and data procured by investment firms only increasing, knowledge sharing and accessibility is of paramount importance to executives. However, generative AI tools on the market continue to create challenges with their limitations and lack of reliability.

In our latest report, learn best practices for navigating the genAI ‘hype cycle’ and how firms are leveraging knowledge discovery and summarization capabilities to optimize their organizations.

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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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