About Ambiata

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.

Gareth Dando

Gareth Dando

CEO

"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
MBA, INSEAD
BSC (Hons) Mathematics & Statistics, University of Melbourne
MSC Coaching Psychology, University of Sydney
Adjunct Faculty (Innovation), Australian Graduate School of Management

Dr Rami Mukhtar

Dr Rami Mukhtar

Co-Founder

"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 Melbourne
BE. Electronic Engineering, University of Melbourne
BSc. Computer Science, Physics, University of Melbourne

Ben Lever

Ben Lever

Co-Founder

"The most exciting challenge for me is bridging the gap between the world of people, and the world of technology."

Ben 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

Professor Tiberio Caetano

Co-Founder

"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