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.
As a team our goal is to bring truth and scientific rigour to the discipline of marketing.
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.”
Dr Rami Mukhtar is co-founder and CEO of Ambiata and a practising data scientist. Rami 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 Melbourne
BE. Electronic Engineering, University of Melbourne
BSc. Computer Science, Physics, University of Melbourne
“The most exciting challenge for me is bridging the gap between the world of people, and the world of technology.”
Ben is a co-founder of Ambiata and the CTO. He has over 10 years engineering experience, leading teams in both multi-national and start-up technology companies.
At Ambiata, Ben has overseen the deployment of large-scale machine learning systems into enterprises across finance, telecommunications, retail and insurance. His current work and interests are in architecting and developing large-scale machine learning systems. This, and his strong interest in engineering productivity, led him to start the Scoobi project for Hadoop.
BE. Electrical (Honours), University of Queensland BA. Japanese, University of Queensland
Professor Tiberio Caetano
“By partnering with us, our clients can discover for the first time, which marketing activities truly drive profitability.”
Tiberio is co-founder and Chief Scientist of Ambiata. He 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