Predictive, personalized, and action-driven analytics of people and work: development of artificial intelligence algorithms utilizing deep neural networks and employee interaction data to predict the development and promotion of employees. Project number: FENG.01.01-IP.02-0545/23.
NetworkPerspective Sp.z o.o. received funding for the project "Predictive,personalized, and action-driven analytics of people and work: development ofartificial intelligence algorithms utilizing deep neural networks and employeeinteraction data to predict the development and promotion of employees".Project is co-financed by the European Union from the European RegionalDevelopment Fund under the Operational Programme European Funds for a ModernEconomy, Measure 1.1 SMART Path coordinated by the Polish Agency for EnterpriseDevelopment.
Project’sobjectives:
The mainobjective of the project is to conduct research and development works todevelop the Network Perspective platform with a PROMOTION ANALYTICS moduleenabling the prediction of employee promotion based on employment data andinformation regarding interactions among employees.
As a resultof project implementation, a new, innovative module of the Platform will bedeveloped, which, through the utilization of artificial intelligence methods,will predict the likelihood of employee advancement based on employment data aswell as data concerning events and collaborative interactions. Throughintegration with company systems (e.g., calendar, chat, email), it will havethe capability to collect data on collaboration methods. The main element ofthe solution will be algorithms for automatic and intelligent diagnosis ofcritical moments in employee development processes, as well as signalsindicating promotion or employee development (e.g., shifts in thesubordinate-supervisor hierarchy and development on the managerial path,changes in salary levels, shifts in the expert hierarchy).
Thesolution will be targeted at the dynamically growing HRTech market where thereare currently no solutions with similar functionalities.
Total projectvalue: 2 367 985.00 PLN
Co-financingvalue: 1 566 000 PLN
#FunduszeEuropejskie
Predictive, personalized and actionable work patterns analytics during the increased intensity of remote work caused by the pandemic: developing artificial intelligence algorithms that uses deep neural networks and data on employee interactions to predict increase and decrease in the effectiveness of remote work. Project number: POIR.01.01.01-00-2589/20.
Network Perspective Sp.z o.o. received funding for the project "Predictive, personalized and actionable work patterns analytics during the increased intensity of remote work caused by the pandemic: developing artificial intelligence algorithms that uses deep neural networks and data on employee interactions to predict increase and decrease in the effectiveness of remote work".
Project co-financed by the European Union from the European Regional Development Fund. The project is realized within the competition of the National Centre for Research and Development under the Operational Programme Intelligent Development 2014-2020,Measure 1.1 R&D projects of enterprises, Sub-measure 1.1.1 Industrial research and development works realized by enterprises.
The main objective of the project is to develop the Network Perspective platform with the PRODUCTIVITY ANALYTICS module, which allows to predict the probability of increase and decrease in the effectiveness of remote work in a team based on information about the ongoing interactions between employees.
As a result of the project, a new, innovative module of the Platform will be developed, which, through the use of artificial intelligence methods, will predict the probability of increase and decrease in the effectiveness of remote work based on data on interactions taking place between employees.
Project value: 1 756 900.39 PLN PLN
Co-financing value: 1 282 804.37 PLN
Predictive, personalized, and actionable People & WorkAnalytics: developing artificial intelligence algorithms using deep neural network learning and employee interaction data to predict turnover and retention in People & Work Analytics. Project number: POIR.01/01/01-001288/19-00.
Network Perspective Sp.z o.o. received funding for the project "Predictive, personalized and actionable People and Work Analytics: developing artificial intelligence algorithms using deep neural network learning and employee interaction data to predict turnover and retention in the area of People & WorkAnalytics".
Project co-financed by the European Union from the European Regional Development Fund. The project is realized within the competition of the National Centre for Research and Development under the Operational Programme Intelligent Development 2014-2020,Measure 1.1 R&D projects of enterprises, Sub-measure 1.1.1 Industrial research and development works realized by enterprises.
The main objective of the project is to develop the Network Perspective platform with the PEOPLE& WORK ANALYTICS module, which allows to predict the probability of leaving for employees based on employment data and information about the ongoing interactions between employees.
As a result of the project, a new, innovative module of the Platform will be developed, which, through the use of artificial intelligence methods, will predict the probability of leaving employees based on their employment data and data on interactions taking place between employees.
Project value: 1,257,863.98 PLN
Co-financing value: 919,999.89 PLN
Network Perspective Sp.z o.o. received funding for the implementation of the project "Introduction of the applicationOrganization Map / Network Perspective to the Canadian market." The project is co-financed by the European Union under sub-measure 3.3.1"Polish technological bridges" of the Operational Programme Intelligent Development 2014-2020.
Value of the project 200 thousand PLN.
Value of co-financing 200 thousand PLN.
Network Perspective Sp.z o.o. received funding for the implementation of the project "Introduction of the applicationOrganization Map / Network Perspective to the Norwegian market." The project is co-financed by the European Union under sub-measure 3.3.1 "Polish technological bridges" of the Operational Programme Intelligent Development 2014-2020.
Value of the project 200 thousand PLN.
Value of co-financing 200 thousand PLN.
