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Presenter Profile:

How they describe themselves: Endor’s predictive analytics platform utilizes groundbreaking science and technology that can quickly make any organization predictive. Our solution aims to improve traditional AI and machine learning by bypassing many of their inherent challenges. Organizations that seek to become predictive using traditional prediction methods need to hire teams of rare and expensive data scientists and PhDs. Answering each question requires months of modeling and maintenance, and these models have to be re-written when products and consumer behavior change. With Endor, business decision makers can become “citizen data scientists” and get answers to any question fast, accurately, and on their own.

How they describe their product/innovation: Endor is the first predictive software platform that lets business users ask any predictive question and get high-quality results in minutes instead of months. It requires no coding, data cleaning, knowledge of machine learning, or PhDs, and far less data history than standard machine learning methods. Endor’s platform is based on Social Physics: A new science, which originated at MIT through research by Prof. Alex Pentland, and uses big data to build a predictive, computational theory of human behavior. Endor extended Social Physics into a powerful engine that is able to explain and predict any human behavior.

Product distribution strategy: Direct to Business (B2B)

Contact

Bus. Dev., Press & Sales: Inbal Tirosh, VP Product, inbal@endor.com