Optika has a team of mathematical data scientists and operations researchers. They work with our partner companies and clients to develop ground-breaking solutions to some of the most novel and complex problems using our products, tools, libraries and expertise
We have extensive experience in developing data science applications in R and Python. More recently, we have used advanced artificial intelligence techniques to develop applications that solve problems in both supervised and unsupervised capacities. These applications have been used in:
- scenario planning
- financial portfolio management;
- capital investment;
- supply chain planning and scheduling;
- asset management;
- real-time analytics;
- geo-political analysis;
- sentiment analysis; and
- risk management.
We also have expertise in the development of complex simulation and optimisation models including discrete event, process modelling, agent and linear programming techniques. These solutions have been deployed to optimise the management of environments such as ports, rail networks, capital investment projects, power stations, and complex supply chains.
What is Data Science?
Data science is the practice of deriving valuable insights from data. Data science is emerging to meet the challenges of processing very large data sets or what is commonly referred to as “Big Data”. Big Data consists of structured, unstructured or semi-structured data.
Data science employs techniques and theories drawn from many disciplines within the broad areas of mathematics, statistics, information theory, and computer science.
These include: signal processing; probability models; machine learning; statistical learning; data mining; databases; data engineering; pattern recognition and learning; visualisation; predictive analytics; uncertainty modelling; data warehousing; data compression; computer programming; and high performance computing.
The development of machine learning, a branch of artificial intelligence, is used to uncover patterns in data from which predictive models can be developed. This has enhanced the growth and importance of data science.
Data scientists require a versatile skill-set, and the team at Optika Solutions is proud to be able to offer such capabilities to clients.
Optika’s data scientists apply their expertise in: data preparation; statistics; and machine learning to investigate complex problems in various domains, using our world leading decision support environment, Akumen.