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Machine learning gartner hype cycle
Machine learning gartner hype cycle










Without further ado, here's the hype cycle chart. Gartner's emerging technology hype cycle distills more than 1,500 technologies into a list of must know tools. But the hype cycle is even better for tech buyers who need to know what buzzword bingo they're about to receive from vendors.

machine learning gartner hype cycle

Now the hype cycle report from Gartner is always good for debate. Organisations looking to sculpt change should consider composable applications, composable networks, AI-augmented design, AI-augmented software engineering, physics-informed AI, influence engineering, digital platform conductor tools, named data networking and self-integrating applications.Nonfungible tokens (NFT) have 2 to 5 years before plateauing after hitting a "trough of disillusionment" and active metadata management, composable applications and generative AI are in the same camp, according to Gartner's 2021 Hype Cycle for Emerging Technologies. The art is to anticipate and auto-tune to the needs of change. Sculpting change: Change is traditionally disruptive and often is tied to chaos, but organisations can use innovations to sculpt change and bring order to chaos. To accelerate growth, the following technologies should be explored: multiexperience, industry cloud, AI-driven innovation, quantum machine learning (ML), generative AI and digital humans. Once the innovation-led core is scaling, accelerated growth extends delivery and value. Organisations should balance technology risk with the appetite for business risk to ensure near-term objectives are attainable. The technologies to watch to engineer trust are sovereign cloud, NFT, machine-readable legislation, decentralised identity, decentralised finance, homomorphic encryption, active metadata management, data fabric, real-time incident centre and employee communications applications.Īccelerating growth: After the trusted core business is established, recovery and growth can happen. This foundation must consist of engineered, repeatable, trusted, proven and scalable working practices and innovations. However, it can also extend to building innovations as a resilient core and foundation for IT to deliver business value. Three themes of emerging technology trendsĮngineering trust: Trust demands security and reliability. “As organisations continue their focus on digital business transformation, they must accelerate change and cut through the hype surrounding emerging technologies,” said Melissa Davis, research vice president at Gartner. Hype cycle for emerging technologies, 2021 The hype cycle for emerging technologies is unique among most Gartner hype cycles because it distils insights from more than 1,500 technologies into a succinct set of “must know” emerging technologies and trends that show promise in delivering a high degree of competitive advantage over the next five to 10 years.












Machine learning gartner hype cycle