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How the EU AI Act is Reshaping Medtech in EMEA

The quick-pace rollout of AI and genAI has caused both excitement and controversy. While this technology has revolutionized once tedious, time-consuming processes (i.e. drug discovery, R&D, massive data analysis, vaccine development), skeptics question how these algorithms are generating results—and whether or not they can be trusted.

To put parameters around the use of AI in healthcare and quash qualms of potential prejudicial bias or privacy risks associated with it, the EU recently introduced the Artificial Intelligence Act (AI Act). Having been passed this May by the Council of the European Union, the AI Act is pushing medtech leaders to not only question how these stipulations affect tools already in circulation within healthcare systems, but what it means for a future where AI is at the root of the industry.

In this report, discover:

  • The aims of the AI Act, its stipulations, and the risk classifications it proposes for medical devices
  • How the AI Act interacts with pre-existing regulations Medical Device Regulation (MDR) and the In Vitro Diagnostic Regulation (IVDR)
  • A future outlook on what medtech leaders can expect in a post-AI Act era

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Top AI Use Cases for Venture Capital Firms

In this report, discover how venture capital teams are leveraging AI for decision-grade intelligence that distills signal from noise in a crowded environment.
A blue graphic titled "Top AI Use Cases for Venture Capital Firms" featuring an upward trending arrow, a stack of money, and a globe.

Top AI Use Cases for Law Firms

As generative AI compresses traditional billable hours and reshapes client expectations, elite law firms are fundamentally changing how they operate. Discover the top use cases that are transforming how elite law firms are winning mandates and driving business development in the AI era.
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The 2026 State of AI for Business and Finance

Among AI-engaged leaders and decision-makers, adoption is close to universal this year, and the daily payoff is real. Accuracy has become the No. 1 feature buyers want in an AI tool — ahead of privacy, output quality, and speed.
The 2026 State of AI for Business and Finance, From Adoption to Accountability.

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