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Enterprise GenAI: To Build or Buy a GenAI LLM?

Your business amasses an enormous, ever-growing amount of market data and internal research. But that data is so often unorganized—uncovered only by endless clicking through folders and an over-reliance on CTRL+F.

As generative AI promises to bring consolidation and findability to your organization’s research and data, leading C-Suites are considering genAI tools and large language models (LLMs) as a solution for this multimillion-dollar problem. But questions remain: Would your data remain secure? Will these systems deliver reliable, relevant information? And crucially, what are the implications of building your own LLM or buying and customizing a third-party genAI solution?

As you look for knowledge management solutions that make sense for your organization, our whitepaper ensures you understand the LLM build vs. buy conversation and key considerations for genAI at an enterprise scale.

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APAC Macro Briefing 2026: Risk Meets Opportunity

In this report, we show how resources and workflows available in the AlphaSense platform can help contextualize the APAC macro environment, exploring the key implications for corporate leaders and investors across sectors.
Title slide for "APAC Macro Briefing 2026: Risk Meets Opportunity" with a map of the Asia-Pacific region.

Top AI Use Cases for Private Equity

In this report, discover how private equity teams are leveraging AI to accelerate conviction with speed. With purpose built, AI-driven solutions like AlphaSense, teams are gaining a competitive advantage with custom workflows and unmatched content sets for the most differentiated deal intelligence.
Top AI Use Cases For Private Equity by Barb Tague, Financial Research Leader. Illustration featuring isometric buildings and currency symbols.

AI in Drug Development 2026: From Experimentation to Execution

Learn how AI is reshaping drug development in real time, turning AI execution into a key competitive differentiator.
Presentation slide titled "AI in Drug Development 2026: From Experimentation to Execution" by Sara Mallatt and Sean Carmichael, with line art of laboratory equipment.

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