Starmind Cited in Gartner's Leaders Need Talent Analytics and Insights to Drive Change and Improve Organizational Performance Report

NEW YORK and ZURICH, Oct. 10, 2018 /PRNewswire/ -- Starmind, the leading technology working to let people think with the power of a million brains, has been cited in the Data and Technology categories section of the recent report released by Gartner, Inc. titled "Leaders Need Talent Analytics and Insights to Drive Change and Improve Organizational Performance," July 2018, published by Helen Poitevin, Research Director.

Gartner, Inc., the world's leading research and advisory company, examined "four areas of focus that leaders can leverage to ensure that they are effectively managing employee, talent, and skills issues to meet growth objectives and be ready to support the next-generation workforce"; Impact of Talent Decisions on Business Outcomes, Work Capability, Diversity and Inclusion, Voice of the Employee.

"Starmind is transforming the way organizations operate. With an innovative AI and solution supported by neuroscientific principles, we're connecting the most powerful resource of your organization: the expertise of your employees," said Pascal Kaufmann, Founder, Starmind. "We believe our acknowledgement within Gartner's paper highlights our ongoing innovations and commitment to establishing the future of the workplace environment."

With the Starmind technology, large companies are able to identify organizational experts on any subject matter and connect them with the employees who need access to previously undocumented copany knowledge. By enabling users to focus on their core expertise, the application autonomously learns as much as possible about corporate content, users and informal know-how networks with little initialization or customization. With Starmind, businesses can tap into:

• Predictive Analytics: The Starmind expert prediction engine identifies with 98% accuracy the best person to solve a problem on any subject matter within an organization regardless of geographical or hierarchical boundaries.
  
• Neural Know-how Network: Starmind's prediction model is based on neuroscientific concepts such as Hebbian Learning. Based on this principle, topics that occur together grow together, and build clusters.
  
• Retrieval Induced Forgetting: Another neuroscientific principle the Starmind technology uses is Retrieval Induced Forgetting. This is how the neural know-how network, as well as the personal know-how profile, keep updated automatically.
  
• Fast Initialization: Because the demand for meaningful answers to complex questions is an ever-present need for any organization, Starmind has developed several algorithms and processes to pre-populate a new environment with existing content. This makes implementation of the technology both quick and accurate.

About Starmind
Starmind's vision is to let people think with the power of a million brains. Through Starmind people consume and contribute knowledge and expertise, making it available in real time - anywhere, anytime - in corporate environments, networks or communities. Starmind applies neuroscientific principles to AI, allowing a new generation of technology to understand people in a uniquely human way. Using self-learning algorithms based on the latest findings in brain and artificial neural network research, Starmind learns about interests and expertise, creating self-learning knowledge networks for organizations. Starmind has tier-1 customers in more than 100 countries such as global consulting companies, leading automotive and engineering companies, Bayer, Telefonica, Swisscom, Munich Re and first Starmind networks leveraging expertise within the United Nations (UN) and enabling the International Committee of the Red Cross (ICRC).

Contact Europe
Alexandra Jagnow
Direct Tel. +41 58 590 80 03
[email protected]

Contact US N6A
Josh Kail
[email protected]

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SOURCE Starmind

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