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Applied AI: Tracking Trends Across Earnings Season

Artificial intelligence is reshaping how companies operate, decide, and grow — and organizations across every sector are applying AI in real time. The Applied AI Tracker from AlphaSense provides a data-driven view into how leading companies are deploying AI across core operations, enterprise decisioning, and AI-native products and platforms, with a clear focus on measurable productivity gains and financial impact.

This exclusive resource aggregates insights directly from earnings calls and conference transcripts to benchmark company-specific outcomes and assess where AI investments are translating into operating leverage through 2026 and beyond. For investors, strategists, and business leaders, the tracker delivers critical intelligence on how AI execution, not experimentation, is driving the next phase of enterprise productivity, earnings growth, and competitive advantage.

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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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