Ambiata are global leaders in Attribution Marketing, founded after years of research and development at NICTA, Australia’s largest organisation dedicated to information communications technology research. Our Attribution Marketers include scalable software engineers and PhDs, global experts in machine learning and predictive data engines.
We have achieved significant performance uplift for clients including leading banks, insurance companies, telecommunication providers, retailers and media outlets. We also partner with marketing agencies and consultancies who want to drive and measure sources of success and failure. View case studies.
We are a growing team of around 30 individuals. Our team is comprised of software engineers and PhDs, global experts in machine learning and large-scale distributed systems.
"The real power of insights is in their implementation at large scale, and good implementation is always about people"
Gareth is CEO of Ambiata, and a specialist in disruptive change from big data analytics and technology. He has 30 years experience as an executive, strategy consultant, executive coach, venture capitalist and entrepreneur, and has worked across many sectors including telecommunications, financial services, retail / FMCG, and energy & utilities.
Combining a deep understanding of the challenges of change in large organisations with the innovative approach and technical skills of an entrepreneur helps him guide Ambiata to deliver impact for our clients.
MA Physics, University of Oxford
BSC (Hons) Mathematics & Statistics, University of Melbourne
MSC Coaching Psychology, University of Sydney
Adjunct Faculty (Innovation), Australian Graduate School of Management
Dr Rami Mukhtar
"I get most excited when I hear a person talking about the incredible level of personalisation they received from one of our clients."
Rami is a practicing data scientist who has worked closely with enterprise in telecommunications, banking, insurance, retail and media sectors, helping them transform from organisations driven by myth to businesses enabled by data and truth.
His current interest is in Big Data Analytics, specifically, implementing advanced statistical machine-learning algorithms on scalable computing platforms to extract deep insights from enterprise data sets, for automated decisioning and personalisation.
PhD. Wireless Packet Data Networks, University of
BE. Electronic Engineering, University of Melbourne
BSc. Computer Science, Physics, University of Melbourne
Professor Tiberio Caetano
"By partnering with us, our clients can discover for the first time, which marketing activities truly drive profitability."
Tiberio specialises in machine learning: combining statistics, computer science and optimisation to generate powerful predictive analytics engines that turn data into value. Specifically, his expertise lies in the design of statistical models that can be deployed at scale, as well as the algorithms needed to perform inference in such models.
Tiberio has designed systems for solving problems in a variety of industries, including financial services, retail, media, insurance and telecommunications.
Adjunct Professor, University of Sydney
PhD. Computer science, Universidade Federal do Rio Grande do Sul
BSc. Electrical Engineering, Universidade Federal do Rio Grande do Sul