with EPI-USE AI Services
Differentiate your business.
Our clients take advantage of artificial intelligence (AI) services in every aspect of their business.
Capitalize and strategize.
Quality data is the cornerstone of AI. With our data science services, we help our clients capitalize on their data, and then develop an AI strategy to reach their desired level of maturity.
Learn and predict.
We help our clients to turn data into useful information. We make calculated predictions on what we learn from their large volumes of data, so our clients can make smarter decisions.
Optimize and automate.
Automation and optimization can improve almost every aspect of a business. We help our clients identify the areas of significant impact and then deploy solutions that substantially improve efficiency and ultimately reduce cost.
Intelligent, data-driven solutions.
Combining our deep enterprise technology expertise with the understanding of our client’s business, allows us to surgically insert artificial intelligence to provide solutions, rather than deploying AI products.
What our clients ask for?
Being able to process natural language can be very powerful in various aspects of a business. Natural language processing (NLP) covers a wide spectrum of well-defined AI use-cases, including:
With the advances in computational power, specifically in Graphics Processing Units (GPU) and Tensor Processing Units (TSU), document, audio, image and video processing have become increasingly popular. Some AI use cases include:
Recommender systems utilize data so businesses can connect their products and services to their clients more efficiently. The following are popular use cases:
Being able to predict and automate can help optimize business processes, decision-making and stability, and ultimately reduce cost. Some of our optimization use-cases include:
Classification is key to being able to make critical business decisions. 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. Typical examples are:
With the rise of Internet-of-Things (IoT)/Edge and mobile technology, we have seen an increasing demand for computationally efficient AI solutions, like:
Machine learning operations (MLOps) is a newer field that refers to the processes for a machine learning (ML) project from source to production. The following are recognized as MLOps:
Extracting knowledge from masses of data is the essence of data science, and the foundation of successful AI solutions. Examples of data mining are:
'Enterprises continue to demonstrate a strong interest in AI, with 48% of CIOs in the 2022 Gartner CIO and Technology Executive Survey responding that they have already deployed or plan to deploy AI and machine learning technologies within the next 12 months.'
Gartner Forecasts Worldwide Artificial Intelligence Software Market to Reach $62 Billion in 2022
Why our clients choose us as their enterprise-wide artificial intelligence partner?
We are celebrating our 40th year in technology.
We maintain healthy partnerships with research institutes to stay at the forefront of technology.
We have offices in 40 countries serving large multi-nationals and public sector clients.
EPI-USE is part of groupelephant.com, allowing us to deliver a broad scope of related technical services to our clients.
groupelephant.com goes beyond corporate purpose with its in-house Elephants, Rhinos & People (ERP.ngo) initiative.
What our clients say.
'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
Keep in touch.
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