Taptap is thrilled to be recognized by Gartner in its Emerging Technologies: Emergence Cycle for NLP Intelligent Applications and Text Analytics research report which evaluates the application and development of natural language processing and machine learning technologies across several industries, advertising and marketing among them.
According to the Gartner report:
"The focus on developing more targeted digital advertising messages, especially in the post-COVID-19 environments, combined with focus on operational efficiency and shorter marketing creation times, will draw technology providers’ and organizations’ interest in this technology."
"There are some early programmatic advertising products in the market, like Taptap, and recently granted patents around automatic/synthesized construction of digital advertising that will help advance this emerging technology in the next two-three years. Therefore, the adoption of Synthetic Advertising (SA) will likely happen quite rapidly, and it is likely to become a standard mainstream technology used by product marketers by 2023 or 2024."
"Emergence Cycle for NLP Intelligent Applications and Text Analytics. Gartner"
Taptap leverages AI to support its geospatial analytics platform for market analyses and omnichannel programmatic advertising, heavily enriched by a data ecosystem that merges online and offline environments. The company collaborates with the University Carlos III of Madrid in a research group focused on AI innovation, the benefits of which are funneled into Taptap products and solutions.
AI and machine learning in Taptap enhance not only ad campaign optimization but also quality assurance mechanisms and the verification, normalization and application of data. AI is instrumental in minimizing waste and maximizing efficiency, which is a core value at Taptap the company calls Zero Waste.
Gartner, [Emerging Technologies: Emergence Cycle for NLP Intelligent Applications and Text Analytics], [Annette Jump, Anthony Bradley, Mark Driver, Lawrence Pingree, Alys Woodward, Martin Reynolds], August 31, 2020.
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.
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