Life Sciences insights
33 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.
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.
Seeing the Full Picture: How Sensor Fusion is Transforming Operations Across Industries
Discover how WWT's sensor fusion architecture — combining camera-based computer vision, LiDAR and IoT data — is delivering more accurate, resilient and actionable operational intelligence across industries, from manufacturing and logistics to retail and healthcare.
Matching the 'Clock Speed of AI' with Softchoice CEO Andrew Caprara
Softchoice CEO Andrew Caprara explains why AI transformation must be CEO-led, and strips the hype away from AI agents, describing them as simply data, a set of rules and connections into existing systems. He argues small and mid-market companies are often better positioned than large enterprises to move quickly, since they carry less legacy technical debt and fewer layers of decision-making, but only if they start with one workflow rather than attempting an enterprise-wide transformation.
Top-tier Pharma Achieves OT Cybersecurity Across Plants Globally
WWT deployed a global OT cybersecurity solution for a top-tier pharmaceutical company. Our efforts achieved visibility of IT and operational technology (OT) assets, plus vulnerability detection across plants globally.
The Fragmentation Trap: Why Funding Enterprise AI Pilots Fail to Compound
Enterprise AI adoption has scaled rapidly, but value realization has not kept pace. Nearly 88 percent of organizations now use AI in at least one business function, yet 60 percent report little or no material value from their investments. The gap is not caused by poor tool selection; it is caused by strategic fragmentation, where parallel experiments consume resources without producing compounding value. This article examines why fragmentation happens, what an Agentic AI strategy contains, and how to translate published benchmarks into a defensible business case.
Global Pharmaceutical Company Accelerates Comparison of SASE Solutions
WWT helped the company execute a proof of concept as it prepares for a divestiture.
LLM Powered Clinical Trial Matcher
The recruitment of patients for clinical trials presents significant challenges for pharmaceutical companies, often delaying drug development, increasing cost, and lead to study failure. This lab explores how AI applied to anonymized health records enables efficient trial matching—at single, bulk, and multi-trial levels—reducing time, improving accuracy, and enhancing access for researchers, providers, and patients.
Global Pharmaceutical Company Saves Six Months and 14% on Network Infrastructure Build
Learn how WWT's seamless teamwork and collaboration reduced costs and allowed the business to hit critical timelines while supporting their digital transformation.
LLM Clinical Trial Matcher Demo
This demo walks though WWT's lab on LLM Clinical Trial Matcher. The recruitment of patients for clinical trials presents significant challenges for pharmaceutical companies, often delaying drug development, increasing cost, and leaded to study failure. This lab explores how AI applied to anonymized health records enables efficient trial matching—at single, bulk, and multi-trial levels—reducing time, improving accuracy, and enhancing access for researchers, providers, and patients.
Pre-Visit Planning Tool Demo
Empowering clinicians with better data visibility while improving communication and experience for patients.