We're delighted to bring you another engaging discussion with @Antony Ugoni. Antony is a seasoned Data Science Leader who has had a diverse career, starting as a biostatistician, then transitioning to lecturing, and ultimately establishing himself as a respected data leader.

In this episode, our focus is on how, as a leader in data science or advanced analytics, you can demonstrate value. Antony shares real-life, simple yet impactful examples of how to identify and seize opportunities. Once again, we have a fascinating and insightful conversation that anyone can relate to to understand the power of analytics

Key topics covered include:

• What businesses expect when hiring a Data Science Leader
• How to prioritise data initiatives
• Introducing technologies to enhance the value delivered by data analytics
• The significant impact of AI on the value of data projects
• The importance of the relationship between data leaders and executive leadership
• Measuring and communicating success

Super excited to have been able to get some time with Craig Rowlands – GM of Data – Australian Unity to share his experience and talk through a range of topics. Craig has led large data transformation strategies with some of the largest organisations both here and overseas. One of my curiosities is once you get into leadership, how do you continue to have an impact each time you join a new organisation? Surely there is an expectation when you join a business, and understanding what that looks like and how to meet and exceed those expectations is a key part of the discussion we have on this episode.

In addition to this we cover:

• Approaching data strategy in established businesses that have legacy systems
• What Data Transformation and scalability mean
• Some of the biggest challenges he has faced
• How Craig has improved diversity in his teams over the years
• What soft skills are important for aspiring data leaders

Join us for an insightful and candid discussion with Arjun Shankar, a seasoned data professional and leader. Arjun has a diverse background, having worked in a variety of roles across different data functions, and has implemented numerous cloud data platforms.

In our conversation, Arjun shares his experiences and provides practical approaches for transitioning from on-premises to the cloud. He openly discusses some of the challenges and the importance of creating the right environment to drive this change.

- What are the key considerations before starting this journey

- How do you go about delivering the platform

- What has worked well and what hasn't

- The importance of having the right skills and team.

- What does data engineering look like with Gen AI in the mix