The hyperscalers are joining forces to help customers fully migrate to the cloud — and place their data closer to Microsoft services to facilitate cloud-native development and AI experimentation.
AI and machine learning are bringing data-enhanced strategies and experiences to Spain’s top football league, which has spun out a tech subsidiary to offer platforms and services to the sports and entertainment industry.
As Topgolf Callaway Brands transitions from focusing on manufacturing golf equipment to integrating its apparel and technology acquisitions, digital transformation is helping drive its future.
Three years ago, pharmaceutical titan Johnson & Johnson set out to apply an intelligent automation approach to every aspect of its business.
Consumer goods giant is adopting the Industrial Internet of Things, digital twin, AI, and machine learning to transform manufacturing at scale.
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.
In 2022, visibility into the supply chain, accurately valuing data products, and leveraging data for sustainability and optimisation will be critical.
Digital twins are real-time representations of objects, processes, and systems that can help monitor operations and perform predictive maintenance.
MDM is a set of disciplines, processes, and technologies for managing data about entities, such as products and customers, around which business is conducted.
Zoho’s new AI-powered, self-service BI platform combines an enhanced version of its Zoho Analytics offering with its new Zoho DataPrep application.
The 104-year-old manufacturer of specialty trucks and military vehicles is leveraging data to optimise its business.
Data visualisation is the presentation of data in a graphical format to make it easier for decision makers to see and understand trends.
Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organisation and storage of data.
Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise.
Data architects visualise and design an organisation's enterprise data management framework, aligned with enterprise strategy and business architecture.
