Andrei Neacsu

Part 2 of our Enterprise AI Integration Playbook turns vision into action: craft a living roadmap, rank high-impact use cases, embed risk guardrails, and set governance for scalable AI success.

Part 1 of our Enterprise AI Integration Playbook explains why AI readiness is mission‑critical, details adoption trends, and shows how to assess strategy, data, governance, talent, culture gaps.

Discover the ideal balance for software teams: development typically takes 40-60% effort, QA 20-30%, design 10-15%, and PM 10-20%. Learn how to adapt these industry benchmarks to your project needs.

Learn the critical KPIs that tie generative AI, edge computing, and quantum initiatives to real business value—covering adoption, latency, ROI, reliability, and strategic readiness for scalable impact.

Recovery Point Objective (RPO) defines the data you can afford to lose. Discover how it pairs with RTO, the backup and replication tactics that meet targets, and testing tips for ongoing resilience.

A data lake stores all your raw data—structured or not—in one scalable repository. This guide shows business leaders how lakes cut costs, speed analytics, fuel AI, and future-proof data strategy.

Learn how moving sequencing pipelines to AWS delivers on-demand HPC, limitless S3 storage, budget control, and secure global collaboration for faster discovery.

Genetic testing labs face staffing gaps as demand soars. Learn how robotics, digital tracking, and AI triage deliver faster, error-free workflows, stronger ROI, and happier, focused staff worldwide.

Discover how smart startups and CTOs slash AWS bills. From tagging and rightsizing to Savings Plans, Spot, and storage tiering, this hands-on guide shows practical steps to cut costs and scale wisely.

Petabyte-scale genomic data is overwhelming traditional lab IT. Learn why genetic testing labs adopt HPC clusters and cloud pipelines to accelerate analysis, slash costs, and stay competitive.