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

A great discussion with Jeremiah Mannings, founder of Futuregrip AI, a data consultancy established to provide advisory and strategic support for introducing AI initiatives and incorporating AI into existing data strategies.

Our conversation centres around a recent keynote that Jeremiah presented, but here we unpack the topic in more detail:

• The key challenges when it comes to Gen AI
• How data leaders can demonstrate value and the narrative around AI when presenting to their executives
• What do your board and executives care about and why
• How to set the environment for success
• Why data leaders should place a huge focus on the creation of value

We’re really excited to have had Christian Biggs join us on the podcast to talk about the importance of preparing for the emergence and adoption of AI, especially with GEN AI in the picture.

Christian is a seasoned data leader with years of consultancy experience and a track record of driving innovation and leveraging cutting-edge technologies to enhance data capabilities. He shares some of the challenges organisations are facing, even though we are still very early in the journey, and some of the strategies he is using to understand and integrate the use of GEN AI into their operations from a governance and privacy perspective.

We cover:

❓ What AI Governance means

❓Steps organisations can take to prepare for AI

❓How to choose the right AI tools and platforms

❓What ethical risks organisations should consider when adopting AI

❓Why organisations need to focus on AI learning, and not just for the data team

Welcome to another episode of the Lead with Data podcast. Today, we're joined by Antony Perera, a seasoned Chief Data Officer with a wealth of experience across a diverse range of organisations. Antony has worked in various industries, including health, telecommunications, and more recently, the education sector. Our topic of discussion today is cloud computing and managing costs.

- We discuss the advantages and disadvantages of cloud computing.

- With so many options available, how to choose the right one.

- How to manage costs when it comes to cloud computing.

Tune in to gain valuable insights from Antony’s extensive experience and tips on how to make the most of your cloud investments.

In this episode, we had the privilege of talking with Bhavisha Sharma, a seasoned Data Strategy and Transformation Specialist. With a robust background in implementing data transformation strategies across various sectors such as financial services, insurance, government, healthcare, and retail. Bhavisha is well-equipped to share useful insights gained from her extensive experience in both industry and consulting.

During our enlightening conversation, we delved into:

• What comprises a solid data transformation journey.
• Some of the common challenges organisations encounter when implementing a data transformation strategy.
• Key steps necessary for executing and delivering a successful data transformation.
• How to quantify the benefits and value of data transformation efforts.

Tune in to gain valuable insights into the world of data transformation in driving impactful change through strategically led data initiatives.

Join us as we delve into the topic of driving value through real-time analytics with Andre Easom, a seasoned Data Science Leader. With an academic background in research & statistics, Andre has dedicated the past decade to working with a well known organisation, playing a pivotal role in enhancing customer experience using data science to solve interesting problems and build leading products.

In this fireside discussion, we'll explore:

• Examples of use cases where real-time analytics has significantly driven value.
• Strategies for driving customer value through the development of real-time analytics.
• The importance of data governance, data accuracy, and integrity in the context of real-time analytics.
• Advantages and disadvantages of implementing real-time analytics.
• Methods for measuring the success and effectiveness of real-time analytics initiatives.
• Key indicators that organisations should look for to determine their readiness for real-time analytics.

Don't miss this opportunity to gain valuable insights from Andre Eason on how real-time analytics can help drive value when done well.