Periodic Reporting for period 1 - PerformB (Innovative digital platform based on machine learning to analyze large databases, aggregate them and provide results to questions made in natural language.)
Período documentado: 2018-11-01 hasta 2019-02-28
PerformB is a revolutionary vertical application that enables AI to deliver the right information at the right time to maximize performance and business outcome. Thanks to its native modularity, scalability and capacity to be integrated into the most widespread legacy systems, platforms and open data ecosystems, PerformB leverages accessible datasets to create relevant natural language insights designed to support decision making and optimization of automatic processes.
The key technical milestone achieved during the project was the definition of the pilot plan requirements and partners. INNAAS secured agreements with four potential customers willing to participate in the forthcoming pilot trials. INNAAS has defined the remaining optimisation and upgrade activities required for the PerformB and all necessary stakeholders involved.
The pilot trials were defined with the key objective of demonstrating the usability of PerformB scenarios and the maximization of performance and business outcome. Following the results, INNAAS will fine tune PerformB and further run 2 roll-out projects to validate the final product on the market.
1) Fast configuration by the customer itself
2) Easy interactive ability through asking information and obtaining performance insight in natural language
3) Combines flexible enterprise modelling with instant deployment capabilities
4) Proactive insight generation supported by AI engine
INNAAS’ ultimate value proposition is to streamline information access with a zero-effort paradigm, while competitors do not focus on maximising end-user benefits from the use of Artificial Intelligence. INNAAS is the only company offering a digital solution allowing to easily deploy end-to-end AI-driven digital services leveraging existing IT assets like Data-warehouse and Big Data Investment.