Machine Learning

We program machine learning, deep learning, and other AI-powered network operating systems into your current IT infrastructure, enabling it to find patterns amongst your business data and automate mission-critical processes. We use machine learning models in industries as diverse as cyber security, healthcare, marketing automation, finance and banking.

• Natural language processing
• Recognising images
• Data mining
• Autonomous vehicles
• Better advertising and marketing
• Better products
• Speech recognition
• Medical diagnoses

Natural language processing (NLP) allows machine learning algorithms to process language-based inputs from humans, such as text-based messaging through an organisation's website. With NLP, these algorithms can detect the tone of a message and its topic to better understand what consumers want. An example is the chatbots that many organisations use to respond to consumer queries through their websites. These chatbots can be convenient as they're available 24 hours a day, allowing them to handle queries until human customer service agents become available.

Speech recognition is similar to natural language processing but focuses solely on verbal communication from humans. Machine learning can help speech recognition applications to better interpret voice-based inputs from consumers and others. One iteration of this is in virtual assistants in smartphones that can understand requests and other voice-based inputs from users and complete tasks based on these inputs. This can also be useful for dictation software, allowing people to take notes without typing or writing. Voice chat applications can also benefit from this.