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Mindtech Launches Part Five of the Synthetic Data Series, Assessing Synthetic Data’s Place in Gartner’s Hype Cycle

SHEFFIELD, England–(BUSINESS WIRE)–Mindtech Global, developer of the world’s leading synthetic data creation platform for AI training, today revealed its view on where synthetic data sits on the “hype curve” .

In the fifth installment of the company’s comprehensive guide to synthetic data, VP of Product Management Chris Longstaff questions Gartner’s assessment that synthetic data has reached the “peak of expectations bloated”, fueled by technological advances as well as hype.

Longstaff believes this label is potentially misleading, as it discards the synthetic images that companies like Mindtech use to train merchant market visual AI models with other variants of synthetic data – synthetic audio data or synthetic infrared data. , for example – which are relatively nascent. .

He explained, “Gartner’s AI Hype Cycle brings together synthetic images, which are already used to train incredibly high-accuracy models that currently exist in commercial applications, with all these other types of evolving synthetic data that have not yet been proven. . It’s not really helpful – and it gives potential users the wrong impression of synthetic imagery and the readiness of the technology. »

You can read Part Five of Mindtech’s guide to synthetic data, providing practical advice for data engineers and real-world use cases for data training, here: https://medium.com/mindtechglobal/is-a-single-category-for-synthetic-data-in-gartners-hype-cycle-appropriate-38e2eb9892e5

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Mindtech Global www.mindtech.global

Mindtech Global is the developer of the world’s first end-to-end “synthetic” data creation platform for training AI vision systems. The company’s Chameleon platform is a step change in the way AI vision systems are trained, helping computers understand and predict human interactions in applications ranging from retail, smart home, health care and smart city.

Mindtech is headquartered in the UK, with operations in the US and the Far East and is funded by investors including thank you, Deeptech Laboratories, In-Q-Tel and appen.