Feature Business intelligence (BI) is a set of strategies and technologies for analyzing business information and transforming it into actionable insights that inform strategic and tactical business decisions.
Feature The National Hockey League is leveraging data and analytics to measure the carbon footprint of its teams’ venues and glean insights into best practices for its sustainability goals.
Feature Six years into its robotic process automation journey, AT&T has implemented more than 3,000 bots, developed an automation center of excellence, and realized a 20x return on investment.
Feature Three years in, Johnson & Johnson’s Ajay Anand and Stephen Sorensen reflect their quest to deliver half a billion dollars of impact from intelligent automation at the pharmaceutical titan.
Feature After struggling with an on-premises data warehouse, the airlines has unlocked self-service reporting and the power of machine learning by migrating its data to the cloud.
Feature A new stadium and the data it produces have spurred the baseball team to transform its business operations, all thanks to a strategic overhaul of its data infrastructure.
Feature The consumer goods multinational company, with help from Microsoft, is adopting the industrial internet of things, digital twin, AI, and machine learning to transform manufacturing at scale.
Feature These five organizations are using natural language processing to better serve their customers, automate repetitive tasks, and streamline operations.
Feature The world’s largest airlines has turned to the cloud, leveraging AI, machine learning, and real-time analytics to minimize disruptions, streamline operations, and improve the travel experience.
Feature The manufacturer has put low-code development to work, melding sensor data and analytics to provide real-time visibility into asphalt processing tanks, enhancing safety and improving compliance.
Feature The scientific equipment and services provider is automating and digitizing sales and customer service workflows to expedite sales and better serve its customers.
Feature Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing, and monitoring data retrieval, storage, and distribution throughout the organization.
Feature With teams across the globe working in a variety of languages, the pharmaceutical multinational couldn’t afford a translation bottleneck, so it turned to natural language processing.
Feature CIO Kevin Rhode is modernizing the nonprofit medical group’s data management infrastructure and overseeing the integration of electronic medical records (EMRs) as DMG grows.
Feature Maryann Byrdak, the domestic hunger relief organization’s first CIO, is leading a technology transformation at the nonprofit with data and analytics at its core.
Feature Digital twin, AI, and predictive analytics help put fans behind the wheel of race cars in the NTT Indycar Series, including the iconic Indianapolis 500.
Feature More CIOS are turning to robotic process automation to eliminate tedious tasks, freeing corporate workers to focus on higher value work. But RPA requires proper design, planning and governance if it's to bolster the business, experts say.
Feature Jackson Health System’s Medical Record Surveillance and Record Sharing project scans medical records in real-time, matches them to partner organizations, and automates the medical record transfer, providing a productivity and efficiency boost.
Feature A lot of organizations continue to struggle with leveraging their data. To become data-driven, organizations need to commit to treating data as a product and to transforming their culture.
Feature Product lifecycle management (PLM) is a discipline for managing the lifecycle of a product, encompassing processes and software systems for tracking and improving every development phase, from product ideation to manufacturing to retirement.