AI Services
Software Engineering
Data Science
Being able to process natural language can be extremely useful. Natural Language Processing (NLP) covers a wide spectrum of well-defined AI use-cases, including:
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Document, audio, image and video processing have become increasingly popular. This is due to advances in technology, and is especially true with the computational power that comes with Graphics Processing Unit (GPU)/Tensor Processing Unit (TPU) hardware.
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Some AI use cases include:
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We help businesses to utilize their data, so that they can connect their users with what they need in a more efficient and effective way.
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Recommender Systems are popular for the following use cases:
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Being able to predict and automate can improve your business processes, decision-making and stability, ultimately ensuring an optimal outcome.
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Some of our optimization use-cases include:
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At the core of decision-making is a classification problem. The ability to distinguish and group elements can help you understand concepts at a higher level of abstraction, giving insights into what can be predicted and automated.
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Some AI use-cases we have encountered include:
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With the rise of Internet-of-Things (IoT)/Edge and mobile markets heading towards the fourth industrial revolution, we have seen an increasing demand for computationally-efficient AI solutions.
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Use-cases include:
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Machine Learning Operations (MLOps) is a relatively new term that refers to the processes for a Machine Learning (ML) project from source to production.
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We have seen the need for the following MLOps use-cases:
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Extracting knowledge from masses of data is a large part of the data science journey. Our approach and belief is that data is the single biggest contributor to successful AI solutions.
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Data Mining use-cases include:
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Experienced
We have over 30 years of experience in the technology industry.
Global
We have offices in 30+ countries serving clients all over the world.
Network
Our group of companies gives us a network of diverse partners with a huge range of technical services.
Research
We maintain close relationships to universities and research institutes to stay at the forefront of technology.
Ethics
We understand and appreciate the power of AI and the responsibility that comes with it.
'EPI-USE has helped us build the Information-Hub, a cloud-based, community driven, data platform for trans-disciplinary research. With their help we have projects in digital twins, biosecurity, urban health and more. Recently we integrated image label detection AI to help our users analyze their photos easier and automatically.'
Prof. Bernard Slippers, Director at FABI, University of Pretoria