Industry Challenges: Life sciences organizations – including pharmaceutical companies, biotech firms, medical device manufacturers, and research institutions – operate at the intersection of innovation and regulation. They handle highly sensitive data such as drug formulas, clinical trial results, genetic information, and patient health records. Protecting intellectual property is paramount, as a leak of R&D data can undermine years of effort and give competitors or bad actors an unfair advantage. At the same time, life sciences are heavily regulated: labs and manufacturers must comply with stringent FDA regulations (like 21 CFR Part 11 for electronic records), Good Practice standards (GLP, GCP, GMP), and often data privacy laws (HIPAA for any patient-related data, GDPR for global trials, etc.). The IT infrastructure in this field must support complex workloads – e.g. running simulations, storing petabytes of genomic data, or managing IoT-equipped lab instruments – all while maintaining accuracy and uptime. Additionally, collaboration is key: scientists might be spread across universities, partners, or countries, requiring secure ways to share data and research results. Downtime in a research or production environment can delay critical discoveries or disrupt supply chains, and any regulatory non-compliance can halt product approvals or lead to fines.