Healthcare insights
152 results found
From $100,000 to $2 Million a Month: What AI at Scale Really Costs
WWT CFO and Chief Data Officer Tom Strunk and CIO Kevin Dana explain how organizational leaders can create AI cost visibility, govern variable consumption and connect rapidly growing token usage to measurable business outcomes.
Building a Modern, Elastic IT Infrastructure From Scratch for Elanco Animal Health to Streamline and Optimize M&A
During a global pandemic, Elanco and WWT worked collaboratively to design, build and integrate an end-to-end IT infrastructure with the ability to scale and meet the evolving demands of the highly competitive animal health market.
Eli Lilly & Company Chief AI Officer on Why Lilly Bet Big on On-Prem AI
Eli Lilly & Company Chief AI Officer Thomas Fuchs explains why the pharma giant built its own on-prem AI supercomputer, LillyPod, instead of solely relying on the cloud. Fuchs, who has built machine learning infrastructure since long before AI was mainstream, argues that owning compute at scale changes what's possible for medicine discovery, development, and delivery.
Pharma's AI Infrastructure Imperative
How pharmaceutical and other life sciences organizations can build GPU infrastructure that matches the scale of their AI ambition.
Department of Veterans Affairs - IT Modernization
World Wide Technology (WWT) supports the Department of Veterans Affairs (VA) with world-class technology solutions that provide the best experience for all Veterans, caregivers, and their families. This community page serves as your one-stop-shop for dedicated resources, articles, labs, reports and more.
How AI Is Rewriting Customer Expectations Across Healthcare, Utilities and Retail
Customer expectations are shifting faster than most organizations can respond. In this episode of the AI Proving Ground Podcast, leaders from healthcare, utilities and retail break down how AI is redefining what "good" customer experience looks like — and how their industries are rethinking service models, operational workflows and human touchpoints to keep pace with a new, AI-shaped standard.
Baptist Health
Welcome to the Baptist Health community page on the WWT Digital Platform. We look forward to strengthening our relationship. This private community has been created to improve collaboration and discussion between our organizations to drive business outcomes. Within this community, you will find links to articles, events, videos, workshops, and a broad collection of digital labs to support experimentation, education, and exploration.
Using Agentic AI to Collect Pharmacy Stock Information
Learn how WWT helped a healthcare client improve patient care by automatically collecting pharmacy stock information and surfacing this to doctors and hospital staff in an easy-to-use web dashboard.
WWT Industry Solution Experience (WISE)
WWT's Demonstration lab for industrial IT/OT collaboration
How WWT is Accelerating AI Adoption Across Every Major Industry
World Wide Technology's AI Proving Ground is where real AI work gets done. Explore how organizations across financial services, healthcare, manufacturing, energy, retail, and the public sector are using the AIPG to validate, test, and operationalize AI, before it ever touches production.
Fostering responsible AI: How WashU is building a smarter approach to risk and governance
When AI usage increased across departments, Washington University in St. Louis needed a way to manage it responsibly without slowing innovation. Learn how WWT helped the university assess its AI risk posture, align stakeholders and build a plan for a scalable governance framework.
NVIDIA Data Flywheel + Cisco Secure AI Factory
In this lab you will explore an NVIDIA Data Flywheel running on Cisco Secure AI Factory hardware with NVIDIA in WWT's AI Proving Ground. Built on the NVIDIA NeMo microservices platform, the flywheel automatically turns production traffic into evaluation and fine-tuning datasets, LoRA fine-tunes candidate models with NeMo Customizer, scores them against the incumbent with NeMo Evaluator, and deploys the winner as an NVIDIA NIM. Using a clinical coding application as the example workload, you will watch a 1-billion-parameter model close the accuracy gap on a 70-billion-parameter model at a fraction of the inference cost.
Sandbox Lab
•Intermediate
•7 launches