MyDataModels cited as Sample Vendors In Gartner Hype Cycle

TADA augmented analytics software

Gartner designates MyDataModels as a reference company according to its Hype Cycle Gartner 2020 report.

MyDataModels is a rare Artificial Intelligence company to provide an efficient SaaS tool, TADA, based on hundreds of data items. TADA is easy to use, offers critical insights on the data at hand in minutes.

The Gartner Hype Cycle is a model that graphically represents the different stages of technology adoption. The aim is to illustrate how businesses can use technology in real-life business use cases to solve operational difficulties. In other words, how companies can apply technology to create value. The Hype Cycle provides an analytical methodology for estimating how a technology will mature over time and become usable and applicable. It provides benchmarks for deploying this technology in the context of precise and targeted operational goals.

On July 27, 2020, Gartner referenced MyDataModels in its Artificial Intelligence Hype Cycle report. On July 24, Gartner referenced the company in the Hype Cycle related to Emerging Technologies. On July 31, MyDataModels is referenced in Gartner’s Hype Cycle report on ‘Enterprise Information Management.’

MyDataModels is delighted and flattered by this recognition of its operational contribution to organizations in these three areas.

Gartner bases its rationale for this recognition on the TADA’s feature related to small amounts of data. Recent social and economic disruptions have highlighted the need to have access to easily usable tools that are resilient in all circumstances. This resiliency of use is the critical functionality highlighted by Gartner in TADA, the MyDataModels SaaS platform. Gartner explains that ‘Small Data’ techniques allow organizations to produce more resilient and adaptable models when major disruptive events impact our environment, such as pandemics.

This approach is ideal for using AI where there are no large data sets available. It allows us to get the operational benefits of AI with a very satisfactory accuracy without having enormous data sets available for training deep learning algorithms.

It also helps to save time and explore various operational scenarios. You can afford to test different combinations and prototype prediction models quickly, as frequently as you want, because you are faster. We consume less energy. We also save the financial costs of collecting, preparing, and labeling large data sets.

This recognition by Gartner comes three years after Alain Blanquart and Denis Bastiment founded the company in Sophia Antipolis. Their technological cornerstone is an evolutionary algorithm resulting from extensive research results, which is patented. MyDataModels offers a flagship tool: TADA, its SaaS Small Data platform. The company has succeeded in gaining the trust of a solid customer base, large accounts like Renault, Biogen, or Thales, and small companies. The Canadian Eureka program has selected MyDataModels for the effectiveness of its prediction tool. Its task is to predict the patients most at risk of developing severe forms of COVID. The company is also one of the winners of the Blue Guard program, in collaboration with Thales, to implement solutions to detect underwater terrorist threats.

In this context, Gartner’s referencing of TADA, the Machine Learning tool, is entirely in line with its market adoption and technological uniqueness. This referencing is an honor and a pride for the entire MyDataModels team who has worked tirelessly to provide its customers with an easy-to-use solution that helps them in their daily lives.

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