This white paper explores best practices for creating AI-safe data pipelines in the biotech industry. It covers strategies for minimizing data errors, maintaining consistency, and optimizing AI and machine learning models in biotechnology. Published by PTP, it provides valuable insights for biotech organizations looking to implement reliable, AI-driven data solutions.
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Scientific Data Management: Best Practices to Achieve R&D Operational Excellence
Discover proven strategies to streamline scientific data management, ensure compliance, and accelerate R&D with scalable, AI-ready solutions.
10 Important Cloud Optimization Questions & Answers
by Gary Derheim What's Inside What is Cloud Cost Optimization? What Discounts are Available in the Cloud? Which Cloud Discount is Right? "Hidden" Costs of the Operating in the Cloud? Does Scalability have anything to do with Clous Cost Optimization? Justifying Cloud...
What Are the Most Common AWS Security Mistakes and How Do You Fix Them?
by Gary Derheim What's Inside Improper S3 Permissions Lack of Encryption IAM Users Direct Permissions Accidental Public AMI's Improperly Configured Cloudtrail Logging on All S3 Buckets IP Address Ranges in VPC Improper NACL Traffic Configuration Why Are These AWS...
5 Best Practices for Reducing your AWS Spending
by Gary Derheim What's Inside Find Unused Resources Utilize Heat Maps Right Size Computing AWS Reserved Instances Act Fast on Spot Instances Partner with PTP to Reduce Cloud Costs Managing costs on Amazon Web Services (AWS) is essential for any organization seeking to...