DeepEval Explained Simply: Why Testing AI Outputs Matters
Large Language Models (LLMs) are increasingly being used to power AI applications across industries. As adoption grows, organizations need ways to evaluate output quality, consistency, and…
Technical Expertise
Faster Decisions Start With AI-Driven Clinical Review
Clinical trials generate more data than ever before. From EDC systems, laboratory data, clinical trial management systems (CTMS), and safety data to operational and real-world…
Why More Data Won’t Fix Your Star Ratings
By Priyal Patel, Asssociate Vice President, Healthcare Strategy & Solutions Health plans are losing Star ratings because insights arrive too late to change outcomes. AI…
AI Can Generate Your Designs Faster—But It Can’t Tell You Which Questions to Skip
Artificial intelligence has changed the economics of UX design. With tools like Figma Make, Copilot, and increasingly capable design assistants, teams can generate layouts, components,…
Building an AI Agent for Oracle HCM Journeys: What I Learned Along the Way
Some areas in Oracle are configured once and rarely touched again. Journeys are not one of those areas. They may require regular updates and additions as the organization grows,…
From Data to Trust: Powering Battery Passports through Databricks AI
As electric vehicles become a larger part of the automotive landscape, battery transparency is quickly evolving from a differentiator into a business necessity. Consumers want…
5 Takeaways from DAIS 2026 You Need To Know
by Nick Passero, Director AI Data & Analytics, Databricks Practice Lead Each year, the Databricks Data + AI Summit sets the agenda for enterprise data…
Accelerating Payables Invoice Processing with AI Adaptive Learning in Oracle Fusion
Oracle continues to invest heavily in embedded AI across Fusion Financials, and Oracle Payables Cloud is one of the areas where there are immediate, tangible benefits. With the introduction…
Scrunch and the Search We Didn’t Know We Were Missing
After a significant update to the Perficient website, we found ourselves in a familiar position. We had invested heavily in refining how we show up,…