A recent broadcast error, where several regional leaders were misidentified on air, has sparked questions about how such mistakes happen in an era where automation and AI are increasingly woven into production workflows.



We don’t know whether technology played a role in that specific case, but it’s prompted a broader conversation: as organisations rely more on automation to handle information at speed, are we creating new risks when it comes to accuracy and accountability?



We discuss and explore this with technologist, writer, and host of Mattsplained, Matt Armitage from Kulturpop.

A recent broadcast error, where several regional leaders were misidentified on air, has sparked questions about how such mistakes happen in an era where automation and AI are increasingly woven into production workflows.We don’t know whether technology played a role in that specific case, but it’s prompted a broader conversation: as organisations rely more on automation to handle information at speed, are we creating new risks when it comes to accuracy and accountability?We discuss and explore this with technologist, writer, and host of Mattsplained, Matt Armitage from Kulturpop.

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Helping you navigate the ever-changing universe of business, from headlines to the bottom line

Enterprise Explores

Automation, Accuracy and Accountability

AI is changing how businesses operate and how they get attacked. Palo Alto Networks’ 2026 New Rules of Cybersecurity Report highlights six major shifts that will redefine cyber risk, from deepfake identity deception, rogue autonomous agents to data poisoning, quantum threats and even the browser becoming the new workspace.



We speak with Sarene Lee, Country Director for Malaysia at Palo Alto Networks, about what these predictions mean for Malaysian businesses, where the blind spots are, and how leaders can prepare to stay secure in the AI economy.

AI is changing how businesses operate and how they get attacked. Palo Alto Networks’ 2026 New Rules of Cybersecurity Report highlights six major shifts that will redefine cyber risk, from deepfake identity deception, rogue autonomous agents to data poisoning, quantum threats and even the browser becoming the new workspace.We speak with Sarene Lee, Country Director for Malaysia at Palo Alto Networks, about what these predictions mean for Malaysian businesses, where the blind spots are, and how leaders can prepare to stay secure in the AI economy.

Securing the AI Economy: What’s Coming in 2026

We are in the middle of an AI gold rush, driven by FOMO and massive capital expenditure. Yet, a recent MIT report reveals a startling statistic: 95% of Generative AI pilots fail to deliver measurable business impact. Why is the failure rate so high?



Prashant Kumar, Founder of Entermind, joins us to discuss his new white paper, "The Seven Original Sins of AI Investment."



He argues that the problem isn't the technology, it's the lack of "orchestration" between people, workflows, and data. We unpack why companies are failing to scale their AI pilots and why the next competitive moat won't be data, but human instinct and creativity.



We discuss:


The 95% Failure Rate: Why most AI pilots are built for demos, not the "messy reality" of the work floor.


Sin #1: The danger of forcing AI into legacy workflows instead of redesigning them.


Sin #4: "If you own the house, you are owned by the house", the trap of building everything in-house.


Sin #7: "Training brains you don't own", the risk of feeding proprietary data into public models.


The Future Moat: Why "Human Deviation" and empathy will matter more than data.

We are in the middle of an AI gold rush, driven by FOMO and massive capital expenditure. Yet, a recent MIT report reveals a startling statistic: 95% of Generative AI pilots fail to deliver measurable business impact. Why is the failure rate so high?Prashant Kumar, Founder of Entermind, joins us to discuss his new white paper, "The Seven Original Sins of AI Investment."He argues that the problem isn't the technology, it's the lack of "orchestration" between people, workflows, and data. We unpack why companies are failing to scale their AI pilots and why the next competitive moat won't be data, but human instinct and creativity.We discuss:<ul><li>The 95% Failure Rate: Why most AI pilots are built for demos, not the "messy reality" of the work floor.</li><li>Sin #1: The danger of forcing AI into legacy workflows instead of redesigning them.</li><li>Sin #4: "If you own the house, you are owned by the house", the trap of building everything in-house.</li><li>Sin #7: "Training brains you don't own", the risk of feeding proprietary data into public models.</li><li>The Future Moat: Why "Human Deviation" and empathy will matter more than data.</li></ul>

The 7 Sins of Enterprise AI Investment

We’ve spent the last two years learning to talk to AI. Now, we’re entering the era of "Agentic AI", systems that can plan, execute, and act on their own. But are we ready to manage digital employees and what happens if they make mistakes?



Huy Nguyen-Tuong, Managing Director at BCG, joins us to discuss the "Agentic Turn." He explains why adding AI to old workflows ("paving the cow path") is a recipe for disaster, how to balance supervision with autonomy, and why leaders must bring the "shadow workforce" of secret AI use into the light.



We discuss:


Agentic AI: The shift from AI that talks to AI that does.


The "Shadow Workforce": Managing the risk of employees using AI in secret.


Governance: Why humans must remain liable for agent actions.


Workflow Redesign: Why you need to rethink processes from scratch, not just automate them.


The Talent Trap: How to prevent the hollowing out of junior skills.



Image Credit: Shutterstock

We’ve spent the last two years learning to talk to AI. Now, we’re entering the era of "Agentic AI", systems that can plan, execute, and act on their own. But are we ready to manage digital employees and what happens if they make mistakes?Huy Nguyen-Tuong, Managing Director at BCG, joins us to discuss the "Agentic Turn." He explains why adding AI to old workflows ("paving the cow path") is a recipe for disaster, how to balance supervision with autonomy, and why leaders must bring the "shadow workforce" of secret AI use into the light.We discuss:<ul><li>Agentic AI: The shift from AI that talks to AI that does.</li><li>The "Shadow Workforce": Managing the risk of employees using AI in secret.</li><li>Governance: Why humans must remain liable for agent actions.</li><li>Workflow Redesign: Why you need to rethink processes from scratch, not just automate them.</li><li>The Talent Trap: How to prevent the hollowing out of junior skills.</li></ul>Image Credit: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.shutterstock.com/image-generated/neon-3d-image-agentic-ai-showing-2588129069?trackingId=9b413db0-ac68-4d14-96a4-02c0e5a8f1ba">Shutterstock</a>

Automation, Accuracy and Accountability

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