Life sciences companies are using AI to speed up drug discovery, accelerate commercialization timelines, and improve back-office functions. The strong AI market in the U.S. has allowed for collaborations between AI-focused tech companies, life sciences companies, and universities. However, limitations around centralized data availability have made for challenges with deploying technology for clinical and commercial purposes. Europe has unique advantages due to many countries having centralized health data stores, collaborative networks, and strong public funding for research. As we have seen increased investment for companies utilizing AI to improve patient outcomes, life sciences companies who can unlock cross-border collaborations in the AI space may have an edge to tap into capital markets.

As AI moves from early testing to everyday business use, companies on both sides of the Atlantic are facing major changes in how work is organized, managed, and carried out. Our panel brings together experts from Europe and the United States to explain the real challenges and opportunities that come with this shift.

Hosted by CLA (CliftonLarsonAllen) | Are you leaving money on the table? Organizations in all industries are finding meaningful savings through federal, state, and local tax credits and incentives — yet some businesses don’t claim the benefits they qualify for. Join CLA for a practical complimentary webinar that breaks down where opportunities exist, and how to take advantage of them. You’ll leave with clarity on a wide range of credits and incentives involving research, development, energy, workforce, and expansion. We’ll explain how to use them to help drive growth and enhance cash flow.

Hosted by Osborne Clarke | Application and enforcement of the EU AI Act are coming steadily closer, with key obligations for everyday business use cases set to apply later this year. The AI Act's impact goes well beyond pure "tech” companies. It will affect many organisations in a variety of sectors, such as manufacturing, retail, e‑commerce, logistics, healthcare, mobility, energy, financial services and professional services, including where AI is used “only” internally in areas like production, HR, marketing, customer service, risk and compliance.