NAB, Telstra, and HivePix Data Leaders on Mastering Data Maturity & Harnessing AI
At ADAPT's Data & AI Edge panel, data leaders Joanna Gurry, Dayle Stevens, and Claudine Ogilvie discuss the shift towards evidence-based decision-making and strategic AI deployment to boost organisational success.Recent findings indicate a significant shift among decision-makers toward relying on evidence rather than instinct for organisational decisions. The confidence in delivering data strategies has risen from 48% in 2023 to 54%, showing a positive trend.
Additionally, 50% of respondents now rely on evidence-based decision-making, up from 39% in 2023, marking a 44% increase.
This move towards evidence-based approaches reflects a broader trend of improving data strategy implementation and highlights the growing importance of data in decision-making processes.
In this panel discussion, mastering data maturity and harnessing AI requires organisations to improve their data strategies. Panellists pointed out that successful data governance often hinges on addressing critical issues such as data quality, security, and privacy.
Effective data maturity involves understanding and managing data across various systems while fostering organisational culture and patience.
Furthermore, achieving AI integration requires rethinking business processes and products to align with the evolving role of AI. The focus is on creating a data-driven culture that supports continuous improvement and innovation through effective data management and use.
Joanna Gurry – Executive, Data Platforms at NAB discussed how organisations often mistakenly transform data executives into AI executives overnight, without acknowledging the collaborative effort AI requires.
She emphasised her own journey from a data practitioner to an AI expert, highlighting the need for diverse skills, including mathematicians, coders, architects, analysts, and security experts.
Effective AI deployment involves a team approach rather than assigning AI responsibilities to a single person. Joanna shared examples of successful AI use in compliance through computer vision, which enhanced accuracy and efficiency.
Dayle Stevens – OAM Executive, Data & AI at Telstra, added that AI can significantly improve employee performance, as seen in Telstra’s projects that helped frontline staff by managing knowledge more efficiently.
Claudine Ogilvie – Former CIO Jetstar, CEO HivePix & ADAPT Advisor, emphasised the importance of cautious, strategic AI integration, focusing on high-impact, business-led projects that align with organisational goals, and ensuring proper data quality and governance.
This thoughtful approach helps manage risks and maximises the benefits of AI, fostering a hopeful outlook on its potential to solve complex problems and drive cultural and operational changes within organisations.
Key Takeaways:
- Shift to evidence-based decision making: Recent findings show a notable increase in the reliance on evidence-based decision-making among organisational decision-makers, with confidence in data strategies rising from 48% in 2023 to 54% and reliance on evidence from 39% to 50%, indicating a 44% increase in evidence-based approaches.
- Importance of data strategy and governance: Panellists emphasised the need for organisations to enhance data strategies and governance to achieve data maturity and harness AI effectively. Key areas of focus include data quality, security, privacy, and fostering a data-driven culture that supports continuous improvement and innovation.
- Collaborative AI deployment: Successful AI deployment requires a collaborative effort involving diverse skills such as mathematicians, coders, architects, analysts, and security experts. Effective AI integration involves strategic, business-led projects and proper data management, as illustrated by successful AI use cases in compliance and employee performance improvement.