Skip to content
Resources > Reports

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.

Explore more

EMEA Outlook 2026: Navigating Inflation, Manufacturing Shifts and AI Adoption

The extent to which EMEA economies can tame inflation, manage weakness in the auto sector, and harness AI for growth will be key to their economic prosperity in the months to come. In this report, we explore how these themes will impact EMEA in the second half of 2026.
Report cover for 'EMEA Outlook 2026: Navigating Inflation, Manufacturing Shifts and AI Adoption' by Shelly Hagan, featuring a globe and an upward trend arrow.

Top AI Use Cases for Life Sciences Market Intelligence

Across life sciences functions, platforms like AlphaSense are streamlining the entire decision cycle. This report covers the top AI use cases that have transformed how the industry’s leading teams reach defensible answers.
Top AI Use Cases for Life Sciences Market Intelligence, with illustrations of a DNA helix, bar chart, and building on a blue grid.

Mid-Year AI Checkpoint: The Shift from Wow to Work

The first half of 2026 marked a turning point for AI. The focus shifted away from breakthrough demos to the harder questions of deployment, integration, and real-world impact. As AI became more deeply embedded in products, workflows, and business operations, organizations faced new questions around measurement, governance, workforce impact, trust, and control.
Mid-Year AI Checkpoint: The Shift from Wow to Work, by Sarah Hoffman. A graphic with a timeline, a sparkling marker, and an AIAIAI logo.

Transform intelligence
into advantage

Develop bold strategies, seize opportunities,
and lead with clarity and confidence.