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Moving analytics to the cloud requires new approaches, skills, and architectures compared with analysis done in-house the traditional way.
Johnson Controls built its digital twin platform in Microsoft Azure to simulate building management operations.
CIO Mike Adams shares how the company has designed its digital and data platforms to put the customer at the center of its products, services, and digital ecosystem, underpinned by enterprise architecture.
Enterprises should abandon traditional ETL approaches and strategies and adopt future state architectures that distribute the data transformation burden.
With AI moving from pilots to production, enterprises must establish cross-departmental oversight strategies focused on data quality, compliance, ethics, and more.
The monetization of healthcare data has been a long-pursued goal for tech firms and healthcare enterprises. Newly formed data collaboratives are taking a fresh approach.
Business intelligence systems and strategies are being augmented with AI and machine learning to provide decision-making context and recommendations across the enterprise.
The installer of integrated building systemsu2019 first-ever CIO, Bhuvana Badrinathan, launched data capabilities to predict sales revenue using automated data ingestion and feature engineering.
For CIO Lisa Davis, the transformation to a product-focused operating model is key to realizing the health plan provider's digital health vision.
The defense contractor has empowered its data scientists with self-service capabilities and centralized modeling, says Matt Seaman, chief data and analytics officer of enterprise operations.
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