The Center for Technological Development and Innovation (CDTI), under the Ministry of Science and Innovation, has described as highly innovative the R&D applied by the Spanish Orizon in the development of the second generation of its technology, called BOA, for improve the performance of the technological infrastructures of large companies. According to the report of this organization, the different aspects that converge in it “make it a completely new and differentiated tool with respect to existing products”.
With this second generation of its solution, Orizon, until now oriented to large central systems, brings this capability to the cloud environment, characterized by its enormous complexity. Orizon has announced the availability of the solution during the third quarter of 2023. In its development, the company will total an investment of 1.8 million euros, of which 381,000 euros will be financed by the CDTI, and is also currently analyzing the availability of the solution in the main hyperscalars (AWS, Google Cloud and Microsoft Azure), depending on the business model.
CDTI has carried out the technological assessment of the Orizon solution after presenting the company to this body three proofs of concept on the application of BOA in critical areas that require an intensive use of technology, such as central systems (mainframe) and services online in distributed and cloud environments and from a double perspective of costs and quality of service.
After the analysis, CDTI has identified four differentiating innovations in Orizon’s technology: the ability to upload massive data and information into the tool, the ability to analyze that data, machine learning models, and non-automatic learning. supervised (deep learning). Regarding the data loading capacity, CDTI highlights its massive nature and even though it is heterogeneous and in unstructured formats. Regarding the analysis of these data, CDTI draws attention to the ability to obtain business patterns from them and correct operational errors (Business Intelligence) and develop analytical studies that allow future business decisions to be made based on predictive models.
Regarding the automatic learning models of the Orizon solution, CDTI has highlighted in its report the use of Artificial Intelligence to improve the operation of the systems (AIOps), which allows not only to make statistical predictions based on the information loaded, “but to prepare, train, test and deploy models that are capable of correcting themselves errors and even automatically rewrite software that works with poor performance.”
According to the CDTI report, BOA algorithms are capable of automatically evolving and generating new patterns by evaluating new information and re-calibrating the models, practically in real time. Lastly, and in relation to the use of deep learning, CDTI highlights its ability to easily access massive sets of labeled data, increase the processing power of the system, and access to models previously trained by experts.
According to the CDTI report, Orizon’s BOA algorithms are capable of automatically evolving and generating new patterns through the evaluation of new information
According to Ángel Pineda, CEO of Orizon, “this report from the CDTI means a great endorsement, not only of our standard of software efficiency, but also of our approach and ability to address the treatment of the performance of a technological infrastructure that, beyond detect errors or inefficiencies, provides solutions to eliminate them and recommendations to achieve total efficiency”.
With the new generation of its BOA technology, orizon addresses the existing problems in the development and optimization of large computer systems: the identification of all the inefficiencies in the code and in the processes and the proposal of solutions to improve performance in a context of enormous complexity such as the current one. To do this, the company uses technologies such as applied Artificial Intelligence (AI) through machine learning (ML). Likewise, the application of business intelligence (BI) and business analytics (BA) through big data analysis makes the solution clearly differential in the market. This second generation of BOA offers all this information through a control panel (dashboard) and with a clear business vision that includes cost criteria, service availability and response times.
In the three proofs of concept presented to the CDTI, the analysis has measured the impact of BOA on different variables, such as improvements in response times, use of resources or cost savings, in a central system environment (cost of mainframe resources ), in the processes called batch (simultaneous and continuous processing) and in the provision of online services in distributed and cloud environments. Likewise, in the three cases analyzed, the Key Performance Indicators (KPI) have been obtained, taking into account all the variables and determining factors in each of them.
