Technical Consulting & Commissioned education for engineers.

Artificial Intelligence and Operations Research

Epistemics AB takes on tasks regarding Technical Consulting and Commissioned education for engineers. The engineering focus is the application of Artificial Intelligence and Operations Research techniques in a variety of sectors in industry and society. These application areas can be manufacturing, logistics, transport, finance, construction, agriculture and healthcare.

Epistemics AB can accept commissions of various kinds: strategic advice, evaluations of projects, detailed pre-studies and commissioned education.

Services

Strategic advice and coaching for companies and organizations that have tentative plans for applying Artificial Intelligence (AI) and Operations Research (OR) techniques in order to improve their technologies.
Detailed prestudies of the feasibility of applying Artificial Intelligence and Operations Research techniques in specific cases.
Reviews and evaluations of already started intiatives that apply Artificial Intelligence and Operations Research techniques within an enterprise.
Technical advice on specific projects that apply techniques from Artificial Intelligence and Operations Research within an enterprise.
Design and development of on-line learning material for skilling and reskilling of engineers on the application of Artificial Intelligence and Operations Research techniques.

Main areas of Competence

Artificial intelligence (AI) is a subfield of Computer Science with the general aim to demonstrate intelligence enabled by machines typically divided into the following subfields: Knowledge representation (KR), Automated reasoning (AR), Machine Learning (ML). It should be remembered that specific techniques such as image analysis, video analysis and speech analysis are also classified as techniques within Artificial Intelligence. In the last decades in particular the importance of Machine Learning has been highlighted.

Operations Research (OR) is a subfield of Mathematics that with the agenda of modelling of a domain in terms of its variables and formulating all known dependencies and constraints among these variables. A formal mathematical machinery is defined to perform the minimization or maximization of an ´objective function´. Defined in terms of the variables.

Artificial Intelligence (AL)
Operations Research (OR)

Many techniques within KR and AR are overlapping with techniques within OR. The main difference is that AI techniques have handled non numerical variables as well as numerical and relied on formal logic in many cases in addition to classical mathematics.

All implementations of AI and OR demands advanced, today typically multi-paradigm programming as of today exemplified by Python programming.

Application Areas

Manufacturing and process automation

Examples: Manufacturing process monitoring and automation, Predictive maintenance and failure minimization, Quality checks, Sorting and Grading, Digital twins.
Logistics and transport

Examples: Optimization of warehouse performances, Optimization of supply chains, image and video recognition in automated vehicles, monitoring of conditions for sensible goods.
Finance and economy services

Examples: Automated Portfolio management, Automated currency trading, Automated Book keeping.
Construction and civil engineering

Examples: Automated construction planning, Construction site monitoring, Risk mitigation and cost control, Automated assembly, optimization of machine functionality.
Agriculture

Examples: Automated irrigation, fertilization, spraying and weeding systems, image recognition for diagnosis of agriculture product damages and diseases, product grading and sorting, aerial surveys.
Life Science and Healthcare

Examples: Big Data Analytics in both life sciences and healthcare, Image recognition for X-ray analysis, Remote health monitoring, Diagnostics.
Retail and commerce

Examples: Image recognition for products, Recommendation systems for retail, Product personalizations.
Communication, marketing and entertainment

Examples: Automated market analysis, Content personalization, Interactive media personalization, Chatbots, Automated tagging of data.