Analytics

Analytics | News, how-tos, features, reviews, and videos

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DC Water hunts lost water with analytics

Predictive analytics and AI are helping the District of Columbia’s water authority discover water main and sewer pipe breaks proactively.

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5 perspectives on modern data analytics

You can't navigate business challenges without the right instruments. Done right, analytics initiatives deliver the essential insights you need, as these five articles explore.

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Johnson Controls and Microsoft birth ‘digital twin’ for building management

Johnson Controls built its digital twin platform in Microsoft Azure to simulate building management operations.

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Analytics in the cloud: Key challenges and how to overcome them

Moving analytics to the cloud requires new approaches, skills, and architectures compared with analysis done in-house the traditional way.

Faisal Jameel, CTO, NJ Transit

NJ Transit leverages data for bus and rail transformation

NJ Transit CTO Faisal Jameel has launched a data-driven overhaul to transform how the third-largest public transit agency in the US serves its passengers.

Mike Adams, CIO, Brunswick

How Brunswick IT enables digital business

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.

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Rethinking data management for faster time to value

Enterprises should abandon traditional ETL approaches and strategies and adopt future state architectures that distribute the data transformation burden.

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AI governance: Reducing risk while reaping rewards

With AI moving from pilots to production, enterprises must establish cross-departmental oversight strategies focused on data quality, compliance, ethics, and more.

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What is data governance? A best practices framework for managing data assets

Data governance defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across the enterprise.

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3 analytics and AI trends that will dominate 2021

As enterprises continue to grapple with the pandemic, proving the ROI of analytics and AI, enabling intelligent automation, and leveraging data for diversity, equity, and inclusion will be critical.

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10 technologies that will disrupt business in 2021

From AI to serverless computing, these 10 disruptive technologies and trends are transforming the business landscape in the wake of the pandemic and beyond.

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Money for nothing: Making sense of data collaborations in healthcare

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.

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Decision intelligence: The new BI

Business intelligence systems and strategies are being augmented with AI and machine learning to provide decision-making context and recommendations across the enterprise.

Satya Jayadev, CIO, Skyworks Solutions

How Skyworks embraced self-service IT

CIO Satya Jayadev and his team are democratizing technology and creating a self-service model to empower business users.

Bhuvana Badrinathan, CIO, Convergint

Convergint builds data science team from the ground up

The installer of integrated building systems’ first-ever CIO, Bhuvana Badrinathan, launched data capabilities to predict sales revenue using automated data ingestion and feature engineering.

Lisa Davis, CIO, Blue Shield of California

Inside Blue Shield of California's IT operating model overhaul

For CIO Lisa Davis, the transformation to a product-focused operating model is key to realizing the health plan provider's digital health vision.

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Lockheed Martin accelerates data science with Domino Data Lab

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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What is data analytics? Analyzing and managing data for decisions

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so.

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