TAZI is recognized as a Sample Vendor of Responsible AI by Gartner

San Francisco – 1 July 2022

TAZI AI has been recognized as a Sample Vendor of Responsible AI by the world’s leading research and advisory company, Gartner Inc., in its June 2022 report: ‘Hype Cycle for Data and Analytics Governance, 2022’.

According to the report, “Responsible artificial intelligence is an umbrella term for aspects of making appropriate business and ethical choices when adopting AI. These include business and societal value, risk, trust, transparency, fairness, bias mitigation, explainability, accountability, safety, privacy and regulatory compliance. Responsible AI encompasses organizational responsibilities and practices that ensure positive, accountable AI development and operation.”

The report further states that “Responsible AI helps achieve fairness, even though biases are baked into the data; gain trust, although transparency and explainability methods are evolving; and ensure regulatory compliance, despite the AI’s probabilistic nature.”

TAZI is responsible because our technology allows easy and fast monitoring and updating of models by all the stakeholders. Being responsible requires updating models quickly when data change or realization (by a business or end-user) of a mistake in the model happens.

We achieve these through adaptive ML, with our continuous learning, no-code interfaces and human-in-the-loop technology.

Gartner subscribers can access the report here: https://gtnr.it/3bB4I5L 

Gartner, Hype Cycle for Data and Analytics Governance, 2022, By Guido De Simoni, Saul Judah, Andrew White, 22 June 2022


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.

Founded by Caltech and MIT alumni and experienced couple Zehra and Tanju Cataltepe, TAZI’s core product is an adaptive machine learning platform which is being utilized in several 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 only by 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 implement enterprise-wide AI that leverages an ecosystem of models working together to benefit every aspect of the business.

Get Started Today
Tazi Hub User Interface