Blogs

Moving AI from pilot to production requires more than a working model. Discover the five capabilities enterprises need to build reliable, scalable and valuable AI systems.

Moving AI from pilot to production requires more than a working model. Discover the five capabilities enterprises need to build reliable, scalable and valuable AI systems.

Prior authorization decisions depend on clinical evidence spread across FHIR feeds, claims records, scanned documents, physician notes and policy criteria. This article examines how a governed clinical data and AI foundation on Databricks can unify these sources, support evidence-grounded review and help payers make faster, more traceable and defensible decisions.

Moving AI from pilot to production requires more than a working model. Learn how trusted data, responsible AI, evaluation, operations and reusable capabilities help enterprises scale AI with confidence.

Learn how to optimize AI token usage through model selection, context management, caching and observability while protecting quality, reliability and business value.

Prediction tells organizations what is likely to happen. Mathematical optimization tells them what they should do next. Explore how operations research, optimization modeling, and AI-driven decision intelligence help enterprises transform predictive insights into optimal business actions through real-world warehouse optimization examples and practical Python implementations.

Organizations are increasingly moving from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC) to modernize their data integration environments. Discover the key migration phases, modernization opportunities, and best practices that help reduce risk while accelerating cloud adoption, strengthening governance, and improving operational efficiency.

Modern data pipelines are no longer simple ETL flows. They span ingestion, transformation, testing, optimization, reporting, and observability across complex cloud architectures. Managing these workflows manually is slow and error-prone.
This blog explores how AI can act as a co-engineer for data teams, automating repetitive tasks, improving pipeline reliability, optimizing query performance, and accelerating the path from raw data to actionable insights.

Enterprises often struggle not with a lack of data, but with a lack of reliable analytics. Fragmented systems, manual ETL processes, and inconsistent metrics delay decision-making and erode trust in reporting. This blog explains how a governed analytics architecture using Alteryx and Tableau can centralize data, automate pipelines, and deliver scalable, trustworthy insights. It outlines a practical blueprint for transforming reporting environments into operational decision intelligence systems.