Test

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Across
  1. 2. Combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.
  2. 4. A type of data processing, inspired by biological neurons, that converts between complex objects (such as audio and video) and tokens suitable for conventional data processing.
  3. 6. A style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using internet technologies.
  4. 8. A discipline for proactively and holistically leading enterprise responses to disruptive forces by identifying and analyzing the execution of change toward desired business vision and outcomes.
  5. 10. Defined as the ability to track the state and performance of software applications over time. It is a comprehensive approach for collecting data on software systems that can then be used to gain insights into system health, observability problems, and potential improvements.23 Feb 2023
  6. 11. The process of achieving the expected benefits or value from wireless technologies and services, such as increased productivity, improved efficiency, enhanced communication, and greater convenience.
  7. 12. A part of a distributed computing topology where information processing is located close to the edge, where things and people produce or consume that information.
  8. 13. A technique used in lean manufacturing (i.e., just-in-time) environments to reduce process cycle time by managing flow.
  9. 15. A digital currency that is the most prominent of the family of cryptocurrencies.
  10. 16. The integration of security into emerging agile IT and DevOps development as seamlessly and as transparently as possible.
  11. 17. Provides end-users (customers, partners or employees) with a set of core features plus access to independently created mini-apps.
  12. 18. A graphical depiction of a common pattern that arises with each new technology or other innovation
Down
  1. 1. A business-driven, disciplined approach that organizations use to rapidly identify, vet and automate as many business and IT processes as possible
  2. 3. The discipline of designing and building toolchains and workflows that enable self-service capabilities for software engineering organizations in the cloud-native era.
  3. 5. An emerging data management design for attaining flexible, reusable and augmented data integration pipelines, services and semantics
  4. 7. A storage architecture designed to hold data extracted from transaction systems, operational data stores and external sources. T
  5. 9. This approach includes practices and technologies for software design, development, automation, operation and analytics, and uses these to create a superior user experience and to reduce system failures that impact business performance.
  6. 14. A collective virtual 3D shared space, created by the convergence of virtually enhanced physical and digital reality.