Mintigo Innovation: “AI for Business”

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When Mintigo co-founders, Jacob Shama and Tal Segalov, formally left their longheld leadership roles in the world of military intelligence, they brought with them a powerful catalyst – artificial intelligence. The artificial intelligence engine that powers Mintigo’s predictive analytics platform has the ability to scan massive troves of data for the strongest trends or “signals” and connect them to targets. In business terms, “signals” are attributes of a buying segment and “targets” are prospective customers.

What is artificial intelligence aka “AI” and why is it becoming so popular in business today?

In the article “What is AI?” from 2000 published by Jack Copeland, the author defines AI as “the science of making computers do things that require intelligence when done by humans.” Further, Copeland breaks down the major elements of AI to be learning, reasoning, problem solving, perception, and language understanding.

Mintigo’s AI capabilities clearly map to the main attributes of an AI system:

  • Learning. Mintigo’s big data machine is constantly learning and absorbing terabytes of data from the Internet. We learn about an individual company by sampling data and creating a model of the data we call CustomerDNATM, which is essentially a signature of digital markers.
  • Reasoning. Mintigo’s AI reasons by comparing incoming business data sets such as sales and marketing data to the CustomerDNA and answering the questions “Do you fit as a potential customer? Does your account fit? Why?”.
  • Problem solving. Mintigo solves the biggest problem in marketing today: how to find buying signals in a massive and growing set of customer and prospect data from marketing automation systems, CRM, social, ads, mobile and other new, emerging channels.
  • Perception. Mintigo perceives net changes in near real time. When change occurs in the data – whether your data or public Internet data – Mintigo perceives, analyzes, and recommends a response.
  • Language understanding. Natural Language Processing (NLP) is the way to convert the raw unstructured data we collect to the insights we present. We teach our machines to understand both human language (text) and machine language (HTML, Javascript, etc.). The outputs are powerful insights and intelligence that are buried deep in the data but are exposed by Mintigo’s AI capabilities as marketing indicators.

AI is rapidly exploding out of the research phase within best-in-class marketing and sales groups at leading enterprises today. Exciting new use cases including account-based marketing (ABM), predictive lead scoring, churn analysis, cross-sell and upsell, credit authorization, and sales enablement are being automated and implemented based on AI and predictive analytics.

Mintigo’s timely alignment with this next wave of market expansion is rooted in our leadership’s decades of experience in intelligence leadership – we’ve been “doing AI” all along and will continue to partner with amazing customers as they use AI and predictive to build a new system of AI for business.


John Bara


John Bara is the CMO & President of Mintigo, a leading enterprise predictive marketing platform. He specializes in fast growth marketing with 25 years as an executive in Silicon Valley. Prior to Mintigo, John held CMO and SVP of Marketing roles at companies including XenSource (acquired by Citrix for $500M), Interwoven, Thismoment, and Genesys Telecommunications Labs (IPO, acquired by Alcatel for $2B). John also held a variety of marketing and finance management positions in the microprocessor business unit at Intel Corporation. John holds an MBA degree from Harvard Business School, and a BA from Oberlin College.