Tanjo: Improving Businesses, Industries, and People’s Lives by Bringing Machine Learning and Automation to the World

Richard Boyd | Co-founder & CEO | Tanjo - Insights Success

Tanjo creates platforms for, and interfaces to, the increasingly intelligent network of humans and machines cooperating with each other. Their powerful machine learning brain is the optimal combination of human and machine learning intelligence to help people achieve the right balance between humans and automation to optimize outcomes.

The central thesis of Tanjo is that successful individuals, companies, and even governments in the 21st century, will be those who achieve the right balance between human and machine effort and intelligence to optimize outcomes. Those who get it right will prosper and prevail. Those who fail to achieve this balance or even lag behind will no longer be competitive and will soon be considered handicapped.

Many firms today are aware of machine learning and are working to harness Big Data. And Tanjo believes that there is a big leap from Big Data to Information, and an even bigger leap from Information to Intelligence (Information that has been computed and is presented to humans to make decisions). The company’s machine learning brain helps their clients to make the full leap to real-time, actionable intelligence.

“The central problem of the century is how to achieve the right balance between humans and automation to optimize outcomes.”

The Spirited Personas of Tanjo

Founders Richard Boyd, CEO, and David Smith, Chairman, have worked together for 27 years with two very successful exits in computer gaming and simulation. They spent almost six years developing technologies at aerospace giant Lockheed Martin where they founded an innovation group called Virtual World Labs, focused on the emerging fields of VR, AR and AI. The team’s deep background building large constructive simulation models of human populations for the DOD, paired with their entertainment, human/machine interface and data science expertise make for a unique combination of capabilities.

While at Lockheed, Boyd and Smith were asked to visit Microsoft Research labs in 2009 where inventor Alex Kipman was leading the team to develop the Microsoft Kinect system for the xBox. Boyd and Smith came away impressed with the machine learning methods employed to teach the Kinect sensor system how to recognize people and objects in living rooms. In 2013, they left Lockheed to build their own machine learning brain and Tanjo was born.

The Exceptional Offerings by Tanjo

Tanjo have three primary product offerings. The first is their powerful machine learning brain that the company has trained over the last four years. Being unique in the industry, Tanjo provides the entire brain and API to any organization to deploy on their own network, inside their firewall, and under their full control. The brain then learns from the organization and serves as an enduring asset representing all of the knowledge of that organization. A brain inside a large accounting or architecture firm is trained on that practice before deployment, but soon learns how information workers within that firm practice their profession; and becomes an enduring representation of the workflow and organizational knowledge of the company. Tanjo is also successful in providing this to research organizations and institutions of higher education.

“Machine learning creates a new opportunity to amplify human intelligence and automate processes.” Said Tim Wilson, Executive Director for the  Bellwether College Consortium , “We are partnering with Tanjo to have our most innovative schools harness machine learning to both preserve innovative education best practices, and help develop new methods to assist students in their educational journeys and prepare them for an increasingly automated world.”

ContractBot:  One sub application of the Tanjo brain was built for a major accounting firm in 2017. In the United States new revenue recognition rules were brought into effect from December 1, 2017. Within a four month time frame Tanjo taught the Tanjo brain the new revenue recognition rules and then trained on over 2.5 million sales contracts. Now, the firm can simply feed a company’s contracts to the Tanjo brain and it will aid the human auditor in highlighting any language in those contracts where the rules apply. This is a great example of human/ machine cooperation, achieving efficiencies of over 12x.

In 2016, Tanjo set aside a Tanjo brain and had it read every single legal opinion in United States history across all 417 federal jurisdictions since 1797. The project took the system less than two weeks to create a correlated map of almost four million (somewhat lengthy) legal opinions.

Tanjo’s third offering uses machine learning to ingest data exhaust from human activity to build deep models of human behavior they call Tanjo Animated Personas, or “TAPs”. These TAPs are powerful tools for creating deep customer empathy, and have also been used within organizations to build stronger internal teams (human resources application) or for higher education to improve recruiting methods and even teacher empathy for more personalized learning paths for students.

Deeper customer understanding with TAP

Tanjo learned that consumer marketing companies were spending a great deal of money on customer segmentation modeling. These models were static moments in time and derived from surveys and focus groups. Tanjo contacted some of the top academic minds in human behavior choice modeling and created the TAP platform to give companies a real-time, data-derived simulation method for improving customer empathy and deeper customer conversations.

Creating Dynamic Simulated Customer Models

The Tanjo Animated Personas (TAP) platform allows marketers to have a new deep level of interaction with customer segments for their products and services. Using machine learning, TAP creates dynamic simulated customer models from archetypal customer segmentation research and brings that data to life in the form of synthetic customer personas. Marketers can now, finally, watch as these synthetic customer models view and digest online content. Present a TAP model with a product message and see it respond to (and score) that messaging from the viewpoint of that customer segment. TAP brings deep customer conversations to life.

Source :- The 10 Most Innovative Artificial Intelligence Solution Providers 2018

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