San Francisco – October 2019

TAZI is recognized as a Sample Vendor of Adaptive ML by Gartner

TAZI AI has been recognized as a Sample Vendor of Adaptive ML by the world’s leading research and advisory company, Gartner Inc., in its August 2019 report: ‘Hype Cycle for Emerging Technologies, 2019’.

According to the report, “Adaptive machine learning (ML) is the capability of frequently retraining ML models when they’re online in their runtime environment, rather than only training ML models when they’re offline in their development and test environment.” Further, “The 2019 Hype Cycle highlights the emerging technologies with significant impact on business, society and people over the next five to 10 years. This year includes technologies that promise to deliver a global low-latency internet, create a virtual map of the real world and mimic human creativity.”

At TAZI, we provide not only the importance of variables in the machine learning system, but also interactive interfaces so that the business users can monitor their data, machine learning models, and data together with the models. They can also monitor different trends. Finally, business users are able to take actions right at the explanation interfaces.

Gartner subscribers can access the report here: https://www.gartner.com/doc/3956015

Gartner, Hype Cycle for Emerging Technologies 2019, Brian Burke & David Smith, 6 August 2019

Disclaimer:
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About TAZI

Founded by Caltech and MIT alumni and experienced couple Zehra and Tanju Cataltepe, TAZI’s core product is an automated machine learning platform which is being utilized in a number of industries, including insurance, finance and retail. TAZI’s products are changing the way AI is used in these businesses. Among other benefits, TAZI’s solutions stand out for the following reasons:

• TAZI is machine learning that can be used directly by business experts, not data scientists,
• TAZI can learn from heterogeneous streaming data, featuring continuous learning, and explainability,
• By drastically reducing the time it takes to build models, TAZI helps business experts in implementing enterprise-wide AI that leverages an ecosystem of models working together to benefit every aspect of the business.