Awareness of data as a potential business asset has hit an all-time high, and more tools and technologies than ever promise to help enterprises make the most of it. That’s prompted some to consume and hoard all the data they can, out of fear of being left behind.

The hard truth is that enterprises don’t thrive on data alone. Real value is created only when data generates insights that enable the company to learn, improve and act; yet organisations often struggle to extract these insights, or to integrate them into their everyday operations. It’s time to stop simply consuming data, and put data to work.

This event focused on how to build end-to-end data projects that have direct business results. It highlighted the need for a holistic approach that aligns business strategy, teams and technology platforms to source, manage and analyse data in a way that ensures it’s factored consistently and seamlessly into product development and decision-making. Experts and industry leaders shared insights on making data the core of a culture of agility and continuous intelligence that ultimately enhances the company’s ability to deliver value to customers and drive performance.


The Business of Delivering Location, Precisely

Jo Abhayaratna, Chief Technical Officer, PSMA Australia

PSMA Australia, a government-owned, but independent and self-funded company is changing the business of location data. Hear from Jo, as he explores the foundations of data-as-a-service, and how to ensure the right insights are available in the right place, at the right time and in the right format to meet customers’ needs.

Defeating Online Fraud and Abuse: Continuous Intelligence in Action

Gerald Hartig, Principal Data Scientist, Arkose Labs

Solving multimillion-dollar online fraud problems for major global businesses across multiple industries is what Arkose Labs, a leading online fraud and abuse prevention organisation specialises in. In this talk, Dr Hartig discusses the ways Arkose Labs approaches Continuous Intelligence to protect some of the world’s largest web properties.

The Core Stages of Machine Learning Maturity

Karen Davis, Senior Data Engineer | Mat Kelcey, Technical Principal - Machine Learning, Thoughtworks

In this session, Thoughtworks consultants Karen Davis and Mat Kelcey will present an ML maturity framework, helping you to chart a course from initial experimentation, to large scale, decentralised ML capability. Through the lens of people, process and technology, they will discuss the characteristics of each stage, the key problems to be solved, and next steps to predictably level-up your ML maturity.

Previous Events

Thoughtworks Live is a series of breakfast events that brings together experts and industry leaders to go beyond theory and explore the complexities of digital transformation at ground level. It examines how businesses are breaking down structural and technical barriers, and effectively integrating data into development and decision-making, to become future-facing enterprises defined by agility, technological excellence and a culture of continuous learning.

Sign up to Perspectives

Timely business and industry insights for digital leaders.