Digital transformation, Artificial Intelligence and Big Data are at the heart of 21st-century business discussions. Large groups have all embarked on their digital transformation, using Big Data to improve their business. But what about large organizations or small companies that only have Small Data to work with and do not have the opportunity to use it?
To date, machine learning tools are still primarily aimed at programmers and Data Scientists. To meet the needs of more people, MyDataModels created TADA, an automated machine learning software designed for small amounts of data. The company allows business experts with little or no programming or machine learning skills to automatically create and run their own predictive models from Small Data.
“We have removed major technological roadblocks within evolutionary algorithms to make them available for commercial use. For a long time, they were considered as a multi-purpose tool of data scientists and now the principles of evolutionary algorithms are at the heart of TADA. Thanks to TADA, domain experts and data experts can explore areas that are difficult for other Machine Learning algorithms, such as Small Data and embedded systems, especially for IoT.” Denis Bastiment, co-founder and CTO of MyDataModels.
See in action how to build and run predictive models with TADA.
