Sentient AI – A/B Testing

Posted by PhotoPhil on November 15, 2017 in Business Ideas |

The international leader in Artificial Intelligence (AI) introduces Sentient Ascend. The solution is expected to assist marketers in website experiments. Advances in Artificial Intelligence will however, improve more on the A/B Testing feature. AI solution will help in solving complex consumer decisions in the market

During an eTail East conference held in Boston, exhibitors seemed to launch their customized versions of data analytics, client aiming, and most significantly several abilities of AI-driven outcomes. Sentient based in San Francisco uses the AI conversion. The 10-year-old company marketing director Mr. Miller was interviewed and gave his opinions on A/B testing and AI contribution.

Discussing the possible future on the world of A/B testing in relative to the current world of AI. The director mentioned that the A/ B testing enables the user to perform several experiments and settle on the one decision which performs better. But during the examination only few will give the result, translating to the requirement of deploying more energy and assets.

To ensure more resource utilization, increased performance and accuracy Sentient has deployed a conversion – focused product marked AI. The product shall make it possible for marketers to experiment their ideas concurrently. With the enhancement, marketers can issue AI with all opinions, and with time the system will identify the ideas that enhance conversions better. Also, it manages to sort concepts, maintaining those that improve conversions and discarding the rest.

These conversions are given to the AI engine by the marketers to determine how to meet a marketing goal such as lead, sale or income. The engine has been tested by Sentient in Cosabella, world lingerie brand. 160-page designs examined, and within a month and three weeks the AI improved to 38% conversions.

A/B Testing is not expected to fade anytime soon. However, Mr. Miller says the invention of AI is taking place and everyone will end up using it within the next three years. He further encourages the use of A/ B testing for hypothesis confirmation. AI engine validates information and eliminates assumptions. It is extremely helpful especially when the data frequency and size is too complicated. AI functions in a closed loop which enables full scale and elimination of manual work.

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