Frost & Sullivan recognized Flytxt with ‘2021 Global Company of the Year Award’
August 24, 2021, London
Frost & Sullivan recognized Flytxt with the ‘2021 Global Company of the Year Award’ for ‘AI in Telecom Marketing’ domain. Frost noted that Flytxt’s autonomous and explainable AI applications drive marketing optimization at scale and ensure that enterprises will never miss any opportunity to maximize customer value across numerous micro-moments and contexts.
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Atos and Flytxt deliver customer engagement solution to create long-term customer value and relationship for Ooredoo Oman
February 9, 2021, Oman
Oman, February 8, 2021 – Atos and Flytxt collaborate to drive analytics-led digital customer engagement for Ooredoo in Oman. Ooredoo is one of the leading telecommunications operators serving over 3.0 million satisfied customers across the Sultanate
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VinaPhone partners Celltech and Flytxt for intelligent customer engagement
November 13, 2019, Dubai
Flytxt, the independent market leader in intelligent marketing technology announced that VinaPhone (unit of VNPT), the second-largest telecom operator in Vietnam has deployed its flagship product NEON-dX. VinaPhone will harness analytics, AI and marketing automation capabilities of the platform to drive personalized engagement with more than 30 million customers. The solution was implemented in partnership with Celltech, a leading telecom solution provider in Vietnam.
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Joint team from Flytxt, IIT-Delhi and CEERI wins NeurIPS 2018 AutoML challenge
December 28, 2018, Mumbai
Flytxt, a market leading supplier of analytics and Artificial Intelligence based customer value management solutions informed that the joint team named “autodidact.ai” from Flytxt, IIT-Delhi and CSIR-CEERI was awarded first place in NeurIPS 2018 AutoML3 Challenge, during NeurIPS conference which recently got over in Montreal, Canada. The challenge was jointly organized by 4Paradigm, ChaLearn, Microsoft and Arcadia University. The AutoML challenge is in its third year and this year’s task was to design a computer program capable of developing predictive models without any manual intervention that are trained and evaluated in a lifelong machine learning setting.
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