Machine Learning

Deploying Machine Learning Across Businesses

Re-imagine Business Processes with Digital Intelligence.

Machine Learning is a key sub-set of Artificial Intelligence, allowing computers to self-learn without being explicitly programmed. Already being used in some industries, particularly finance where it’s used to provide a credit score, detect fraud, and optimize investments; it offers limitless possibilities to businesses looking to expand their top-line growth and optimize processes while improving employee engagement and increasing customer satisfaction. What makes Machine Learning highly useful is the ability of the algorithm to learn and adapt its outputs based on new information.

Detecting Fraud

By using pattern recognition to spot anomalies, exceptions, and outliers, Machine Learning algorithms can help detect and prevent fraudulent transactions in real time; even for previously unknown types of frauds.

Personalizing Customer Service

By combining historical customer service data, natural language processing, and algorithms that continuously learn from interactions, customers get high-quality answers to their questions. This would improve customer service while lowering operational costs.

"Together with Our Network Partner"

Digital Automation using Artificial Intelligence, in partnership with Azati Software; a US based company with over 15 years of experience driving Digital Transformation for clients.

Deploying Machine Learning Capabilities

Machine Learning is a relatively new and rapidly developing area of technology. Our extensive experience in developing software and commitment to providing continuous training opportunities to our staff ascertains we are perfectly placed to help your business take advantage of machine learning tech capabilities.

Supervised/Unsupervised Learning

Supervised and unsupervised learning can unearth key patterns within your data. Through identifying which data is potentially useful and analyzing vast quantities, machine learning can unearth patterns and insights that would have been missed by data analysts.

Deep Learning 

Through making sense of data, such as images, sounds, and text, deep learning offers a huge amount of potential for businesses that implement it across their operations. Using many-layered deep neural networks to learn, deep learning is the fastest growing area of machine learning for good reason.

Distributed Computing

If you’re working with invaluable but huge and hard to process data sets, the tasks will often need to be distributed across an entire IT system due to the sheer volume of work. We can give you access to server clusters, including hardware accelerated servers, to give you a competitive advantage.

Natural Language Processing

There are challenges in natural language processing, including connecting language and machine perception. But we can help you overcome these obstacles to take advantage of the benefits machine learning can bring to your organization.

Digital Signal Processing

Digital signal processing (DSO) applications cover a huge range of machine learning aspects that can be useful for business operations. From digital image processing to signal processing for telecommunications, machine learning can deliver tangible benefits to your operations.

Applied Maths and Algorithms

We understand the maths and algorithms behind machine learning, giving us the knowledge to support your aims. With the support of this insight, our team is able to comprehend and utilize a range of areas within machine learning, such as convex optimization, partial differential equations, and quadratic programming.

Our Technology Stack

CuDNN – Leading deep learning researchers and framework developers use CuDNN, a GPU-accelerated library that provides highly tuned implementations for standard routines around machine learning. It means we can deliver your projects quicker by eliminating the time spent on low-level GPU performance testing.

Scikit Learn – We utilize the machine learning library Scikit Learn for Python. With a huge range of algorithms and designed to seamlessly integrate with other Python libraries, it’s a vital tool for speeding up the delivery of machine learning software.

Tensor Flow – Originally developed by researchers and engineers working at Google’s Machine intelligence research organization, Tensor Flow is an invaluable open source software library. With the ability to be applicable to a wide variety of machine learning projects that require numerical computation, it’s a core part of our technology stack.

Natural Language Toolkit – As a leading platform for building Python programs that use human language data, Natural Language Toolkit is a tool that can be vital for some machine learning projects. Providing an extensive suite of text processing libraries, such as tagging, semantic reasoning, and classification, it’s versatile too.

Want to discuss how Machine Learning capabilities could help your business?