Machine Learning: Crunchflow is Partnering with USC Researchers to Explore New Frontiers in Big Data

NEW YORK, June 29, 2016 /PRNewswire/ -- Crunchflow, a workforce planning platform, has recently signed a collaborative agreement with professor Lucio Soibelman, who earned a Ph.D in Civil Engineering from Massachusetts Institute of Technology (MIT), with the goal of developing new solutions for businesses based on machine learning.

Professor Soibelman and his research group at the Sonny Astani Department of Civil and Environmental Engineering will have access to Crunchflow's large metadata database that has anonymous performance information from thousands of projects and employees allocated in professional service organizations. The researchers' mission is to find in this data preliminary patterns and results that help to understand how companies can boost efficiency levels. They also want to demonstrate the potential for extracting knowledge from such a database.

Bigger salaries without sacrificing margins

Crunchflow's CEO Daniel Knijnik believes that the collaboration will place the company in the forefront of a technology that has the potential to revolutionize how artificial intelligence is applied to business. "We will have top researchers entirely dedicated to innovation, using the latest and most modern technology", he said. "It is an opportunity for companies to improve their margins and optimize their most precious resource: people".

Knijnik explains that machine learning technology is an essential part of Crunchflow's platform, a workforce planning SaaS designed to boost productivity and efficiency in highly skilled professional services organizations. According to the CEO, the platform offers new opportunities for businesses in need of conciliating medium increase in salaries while avoiding an increase in their product's final cost. "We would like to show that it is possible to improve business margins even when we pay bigger salaries".

New research opportunities in machine learning

The initial collaboration with Soibelman can evolve into an official partnership between Crunchflow and USC's entire Sonny Astani Department of Civil and Environmental Engineering, a leading institution in the United States when it comes to machine learning. "In case we are successful, we can propose new research lines and submit them to American development agencies", explains Mr. Soibelman, who has dedicated the last 23 years to researching machine learning and data mining.

According to Soibelman, machine learning technology is able to extract intelligence and new knowledge from great volumes of data generated by companies. Platforms such as Crunchflow automate this knowledge, generating valuable insights in real time for business managers. "It is one of the most active research areas today, and our knowledge is increasing in great speed".

Soibelman says that the ideas generated by machine learning technology will also create new business opportunities to be explored by executives. "They certainly will have the opportunity to develop future companies and industries that do not exist at this time".

What is machine learning and how can it be applied to everyday business?

Soibelman: Machine learning is a core subarea of artificial intelligence. It can be used to extract intelligence from large databases. It is one of the most active research areas today, and our knowledge is increasing in great speed. The ideas that are being generated by this technology will create great opportunities for executives. They certainly will have the opportunity to develop future companies and industries that do not exist at this time.

Which opportunities will emerge from using machine learning?
Soibelman: The best ones are the tools developed to deal with "big data". For now, the tools that are available are not capable of analyzing the volume of data that is emerging from businesses on a daily basis. There are millions of bytes being generated - from financial operations to information coming from sensors that monitor infrastructure, environment, buildings and residences. I am referring to the data coming from the revolutionary "internet of things".

What can we expect from this partnership with Crunchflow?

Soibelman: In the first phase, we will adapt and use the many existing tools to extract knowledge from the data provided by Crunchflow. If it is necessary, we will develop new tools specifically for this analysis. If we are successful, USC and Crunchflow intend to sign an official partnership, in which we will propose new research lines and submit them to American development agencies.

About Crunchflow

Crunchflow is a NY-based workforce planning SaaS, the pioneer in combining the flexibility of project management, the accuracy of HR analytics and the evolution of machine learning in one powerful integrated platform. Crunchflow enables C-Level executives to plan, allocate and manage performance from their company's most valuable resource: their people. For further information, please see www.crunchflow.com.

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Andreas Muller
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SOURCE Crunchflow

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