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How Investment Teams Maximize the ROI of Institutional Knowledge

In today’s fast-moving market, speed and accessibility to intelligence and research findings is paramount. Investment teams rely on proprietary intelligence and knowledge discovery to inform smart investment decisions.

However, the value of proprietary knowledge is often lost—difficult to locate and piece together from internal systems, and is also siloed across working teams. The result: duplicative efforts, wasted time, and lost insights. Organizations planning to invest >$50 million in AI and generative AI (genAI) over the next twelve months are 1.3 times more likely than their peers to see a return on their investment.

In this report, learn how organizations are prioritizing solutions for knowledge discovery and sharing. Solutions such as market intelligence platforms leveraging genAI are becoming an essential asset to enhance ROI with knowledge centralization.

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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.

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