In a PTP “Lunch & Learn” session, Micah unpacks the essential building blocks of AI in life sciences — from defining intent and managing data to choosing compute tools like SageMaker, Bedrock, and S3 — helping biotech labs start strategically.
Need help with HPC in life sciences? PTP helps life sciences organizations design, optimize, and govern HPC environments in AWS so research teams can scale faster without losing control of cost, security, or performance. Contact PTP to discuss HPC architecture, cloud...
We’re excited to share the key insights from our LinkedIn Live series featuring Ethan Simmons, Managing Partner at PTP. Hosted by Jon Myer, this series dives deep into how AWS Marketplace streamlines cloud transactions, cutting procurement time significantly and...
NY TechWeek 2024 was an unforgettable experience aboard the AWS/PTP Harbor Cruise! The event was everything we envisioned and more. With the breathtaking New York City skyline as our backdrop, we had the opportunity to dive deep into conversations about...
Overview: PTP is highly regarded for its expertise and ability to facilitate operations in the cloud, especially within the biopharma and life sciences sectors. Their proficiency in AWS, cloud infrastructure, and networking—combined with their problem-solving...
Explore the innovative role of the Rational AI Architect in the life sciences industry with insights from Aaron Jeskey, Senior Cloud Architect at PTP. Learn how advancements in AI and engineering are breaking new ground and transforming the way we approach scientific research and development. Discover more at PTP’s blog post.
Discover the key aspects of mastering AI architecture in the life sciences industry with expert insights from Aaron Jeskey, Senior Cloud Architect at PTP. This blog post explores the innovative approaches and strategies used to leverage AI for scientific advancements.
Reliable research depends on making scientific data organized, discoverable, and reusable across the R&D lifecycle. This white paper explains how structured data management, FAIR practices, and governance improve efficiency, collaboration, and readiness for AI and advanced analytics.
