"RH Data" Process Optimization Solution is a modular, high-performing AI-based solution that is used to optimize industrial processes by predicting process and production line performance and output.
Most feasible AI / ML (artificial intelligence / machine learning) technologies are used to model each process stage. The future performance of the process can be simulated and optimized based on historical process data as well as real-time modifications to modeled process parameters.
"RH Data" solution implementation is modular, customizable and scalable as
-Each process stage can be optimized using most feasible process parameters and AI / ML (artificial intelligence / machine learning) algorithms
-Full process line can be optimized by chaining AI / ML (artificial intelligence / machine learning) optimized process stages together
-Optimized process line solutions can be scaled up to factory or mill level production implementations
-Factory level "RH Data" implementation can be scaled and customized to new type of product lines and factories
Customer benefits include
-Minimized costs through optimal usage of raw materials and chemicals as well as production capacity
-Minimized risks and downtime through improved visibility, transparency and control
-Optimized product quality through enabled prediction and forecasting of process outputs
Our Computer Vision (CV) application suites are based on the latest and most powerful AI / ML (artificial intelligence / machine learning) technologies and algorithms which are aggregated to CV Capability Packages. The CV Capability Packages together with the cloud-based application framework enable us to effectively create and deliver high-performing CV applications for different industries and customer segments.
The CV Capability Packages include pre-qualified CV algorithms e.g. for Classification, Detection, Semantic Segmentation and Scene Understanding, which are used in creating dedicated applications for different use cases.
Our solutions and technologies can run on cloud, on-premise and edge platforms with inference engines.
Our Smart Search and Document Intelligence solutions provide customers with advanced tools for finding and retrieving information from various data sources.
Data can be practically in any format and stored in various ways from data lakes and warehouses to directories and file systems. Our consultative approach will enable setting up a scalable solution framework for AI-based customized search and document intelligence.
The power of combining Natural Language Processing and Computer Vision
Our Smart Search and Document Intelligence solutions are built on our deep learning driven NLP and NLU know-how. These technologies enable utilization of both semantic and contextual information for re-structuring data storages, and building up high-performance search functionalities.
NLP-based search applications are complemented with Computer Vision capabilities, like Optical Character Recognition (OCR), to extract and search textual data from image and video documents.
Machine Learning algorithms behind our smart search employ active learning to enable continuous improvement of search results based on users' feedback.
Customer benefits include
Building up indexed document archives which contain only those documents that are relevant for the business. This results in significant time savings and less errors as decision making is based on correct and up-to-date information.
Extremely fast information retrieval minimizing the required time to sub-seconds or seconds.
Ability to find textual / contextual information from images makes finding information more versatile and flexible.
Enabling the whole organization to continuously improve the speed of information retrieval through active learning.