Skip to content
AI - Promise, Potential, and Pitfalls - Ep.2 episode artwork

Oct 29, 2024 28 min

AI - Promise, Potential, and Pitfalls - Ep.2

from Things. Reasons: The independent show for Australian IT leaders (AI, Tech & IT Leadership) Hosted by Macquarie Cloud Services

Show Resources: Follow Jono Staff on LinkedIn Follow Naran McClung on LinkedIn Watch the episodes on Youtube Full show transcript on our Blog Contact us at [email protected] with any questions, suggestions, or corrections. And don't forget to rate/review! Episode Summary: The rise of AI washing and how businesses can cut through the hype to identify real AI value amidst exaggerated vendor claims. Balancing AI investment and outcomes, with examples from Microsoft Copilot and Macquarie's SOC Digital Twin, highlighting cost-effective wins and evolving ROI. Productivity as a priority—the fastest way for businesses to see returns from AI is by automating workflows and reducing operational costs. Data governance as a foundation for AI success, stressing the importance of data readiness and ownership to avoid inaccurate outputs and compliance risks. Building AI talent organically, encouraging businesses to foster tech pioneers through innovation frameworks, competitions, and collaborative environments.

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

AI - Promise, Potential, and Pitfalls - Ep.2

0:00 28:02

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Things. Reasons: The independent show for Australian IT leaders (AI, Tech & IT Leadership)?

This episode is 28 minutes long.

When was this Things. Reasons: The independent show for Australian IT leaders (AI, Tech & IT Leadership) episode published?

This episode was published on October 29, 2024.

Can I download this Things. Reasons: The independent show for Australian IT leaders (AI, Tech & IT Leadership) episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.