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Showing posts with label Gartner. Show all posts
Showing posts with label Gartner. Show all posts

Tuesday, September 7, 2021

Gartner Hype Cycle for Emerging Technologies, 2021

The hype cycle is a branded graphical presentation developed and used by the American research, advisory and information technology firm Gartner to represent the maturity, adoption, and social application of specific technologies. The hype cycle claims to provide a graphical and conceptual presentation of the maturity of emerging technologies through five phases. Learn about Understanding Gartner’s Hype Cycles 

The following is the Hyper Cycle for Emerging Technologies in 2021. 


On the Gartner hype cycle for emerging technologies, 2021, the three overarching trends that will drive organisations to explore emerging technologies such as Non-Fungible tokens (NFT), Sovereign cloud, data fabric, generative AI, and composable networks to help secure competitive advantage are engineering trust, accelerating growth, and sculpting change.



This radar includes three different overarching trends include:

  • Interfaces and Experiences include technologies that are fundamentally changing the way we interact with the world.
  • Business Enablers are technologies and trends that impact enterprises by changing practices, processes, methods, models and/or functions.
  • Productivity Revolution is driven by the confluence of multiple technologies and trends that has resulted in solutions that help organizations quickly, accurately, and, in greater volume, classify, predict, and solve problems that humans cannot.
Read the entire article at Gartner Blog Network

Thursday, March 4, 2021

Magic Quadrant for Data Science and Machine Learning Platforms -2021


Gartner has released it's magic quadrant for Data Science and Machine Learning. It is important to note that Microsoft, AWS and Google are clustered to the Visionaries quadrant, not in the Leaders quadrant. 

In the Microsoft platform, the core products considered in this Magic Quadrant is Azure Machine Learning. The supporting products for Azure Machine Learning consist of Azure Data Factory, Azure Data Catalog, Azure HDInsight, Azure Databricks, Azure DevOps, Power BI and other components.