ZS

Labeling delays can slow clinical trial supply chain performance.

Learn how to build smarter clinical supply operations: https://bit.ly/49vlFtG

Join ZS at Databricks Data + AI Summit to see how technology and data leaders build trusted data foundations on Databricks to scale AI responsibly across the enterprise: https://bit.ly/49DBTkt

AI doesn’t fully address the complexities of building a SaaS platform in house.

Instead of deciding whether to buy or build the software they need, leading organizations are now choosing a hybrid approach. They’re using AI to automate processes enabled by vertical SaaS platforms to deliver operational efficiencies and accelerate business outcomes.

Here are the benefits: https://bit.ly/3SfZemc

Marketing mix modeling (MMM) was built for a slower, more stable world. Today’s environment demands faster decisions, greater transparency and systems that learn continuously.

Agentic AI is transforming MMM from a retrospective reporting tool into a real-time decision system—one that combines data, structured reasoning and human judgment to improve outcomes and scale expertise across organizations.

Find out how leading teams are redesigning MMM: https://bit.ly/4xaHZTE

AI investments don’t fail loudly in commercial pharma. They fade into the background.

When insights never reach the field, ex*****on doesn’t change. That’s why leading GCCs are pushing intelligence directly into sales and marketing workflows: so strategy actually shows up in day-to-day work.

Here’s how they’re closing the ex*****on gap: https://bit.ly/4vh7AZ2

Your brand can lose the deal before the first click. In AI search, competitors can be named, compared and endorsed in the generated answer while you’re invisible.

This GEO framework shows how to baseline your presence, reduce citation risk and build a continuous capability that compounds: https://bit.ly/4dTFQTc

Emerging pharma companies need technology foundations that can support launch needs today and scale with the business tomorrow.

On this podcast, leaders discuss how biopharma teams can make early platform decisions, balance AI ambition with readiness and build technology roadmaps that help teams move from insight to action.

The conversation also explores how platforms like ZAIDYN® can help embed trusted intelligence into everyday workflows.

🎧 Listen now: https://bit.ly/43HtZ62

AI can speed up clinical drafting—but that’s not the end goal.

The shift is to a data-centric model, where documents are a byproduct of structured clinical knowledge.

Here’s what’s working in AI-assisted clinical authoring today: https://bit.ly/4dEkZo7

AI has yet to improve decision quality for most Medicare Advantage plans. Faster analysis and better data haven’t changed how plan design decisions get made.

Teams still rely on episodic reviews and fragmented inputs while bids lock in high-stakes choices around benefits, enrollment and profitability.

Here’s how to use AI to shape decision-making: https://bit.ly/4a2vvDn