ÂÜÀòÂÒÂ×

Ashley Unitt has a diverse work experience. Ashley is currently the CTO & NED at Alert Technology Ltd, where they produce real-time airborne Asbestos detectors. Ashley also serves as the Chair at TOffeeAM ltd, focusing on designs for additive manufacture.

Previously, Ashley worked as an Advisor at PQShield and a Non Executive Director at Comparesoft. Ashley also held various mentoring roles at Imperial Venture Mentoring Service (IVMS) and Future Worlds, and was a partner at Light 79.

Ashley's notable role was at NewVoiceMedia (now Vonage), where they worked for over 16 years. Ashley started as a Consultant and eventually became the Chief Scientist and co-founder. Ashley played a key role in the growth of the company, raising significant funding and building a global real-time cloud solution. Ashley also introduced technologies like AWS and WebRTC, and implemented practices such as Agile, DevOps, and continuous delivery.

Additionally, Ashley achieved PCI-DSS Level 1 compliance and managed a growing patent portfolio. Ashley was involved in the creation of products like NewVoiceMedia's Conversation Analyser and filed over 14 patents.

Ashley Unitt attended Imperial College London from 1986 to 1990, where they obtained an MEng degree in Software Engineering. Prior to that, their education history includes attending Aylesford School, although specific dates and degrees are not provided. In terms of additional certifications, Ashley has obtained several machine learning-related certifications from Coursera, including Machine Learning Specialization, Machine Learning: Clustering & Retrieval, Machine Learning: Classification, and Machine Learning: Regression. They have also completed courses such as Introduction to Natural Language Processing, More Data Mining with Weka from the University of Waikato, Computing for Data Analysis, Machine Learning, Data Mining with Weka, and Introduction to Data Science. Additionally, Ashley served as a speaker at Park View Junior School, Basingstoke through Founders4Schools. There is one certification, Machine Learning Foundations: A Case Study Approach, for which no specific completion month or year is provided.