Data and analytics leaders must analyze the evolution of existing and emerging trends to orchestrate and productize DSML”. The Hype Cycle for Data Science and Machine Learning, 2021 states “accelerated digitization is driving the urgency to productize experimental data science and machine learning initiatives. Quantum-based machine learning is also more than 10 years out.We are excited to share that Fiddler has been named a Sample Vendor for Explainable AI in two 2021 Gartner Hype Cycle reports-the Hype Cycle for Data Science and Machine Learning, 2021 and the Hype Cycle for Analytics and Business Intelligence, 2021. Digital humans are being talked about a good bit, but Gartner reckons the technology is more than 10 years away from productivity gains.That take is interesting given industry clouds are everywhere from multiple vendors. Industry clouds are just beginning on the hype cycle with a plateau reached in 5- to 10-years.Composable is going to be a key buzzword for applications and networks.Artificial intelligence's impact on generating code, augmenting design and innovation is all 5- to 10-years away.
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. Now the hype cycle report from Gartner is always good for debate. 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.