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Moving AI From Hype to Practical Impact
Description
Moving AI From Hype to Practical Impact
In this episode Adrian chats with Dileep Marway - VP of Engineering at Pebblepad.
There’s no shortage of conversation about AI.
But for technology leaders, the more important question is becoming: where is AI actually making a difference?
In the latest episode of Culture Corner, Adrian sits down with Dileep to explore how engineering teams can move beyond the hype and take a more practical, considered approach to AI adoption.
One of the points Dileep makes early in the conversation sets the tone for the episode:
“Ask yourself what problem you’re solving with AI.”
It sounds obvious, but it is an important distinction. Rather than introducing AI simply because the technology is available, Dileep talks about starting with the problem, considering where AI can genuinely add value and being clear about what success should look like.
The conversation explores where AI is having a practical impact across engineering, including development, testing and quality assurance, as well as the security considerations and guardrails organisations need to think about as adoption increases.
Adrian and Dileep also discuss the question every organisation eventually has to answer: is it actually working?
Dileep shares his thoughts on measuring ROI through meaningful data points and metrics, rather than relying on assumptions about productivity, and explains why human judgement remains such an important part of the equation.
As he puts it:
“AI is best when it complements human judgment.”
The episode also explores some of the common mistakes organisations are making with AI, its potential to support creativity and innovation, and what technology leaders need to consider as they prepare their teams for an increasingly AI-driven future.
For anyone leading engineering or technology teams and thinking about how to turn AI experimentation into genuine business value, Dileep shares some valuable and practical insights throughout the conversation.
Topics covered:
- Practical AI adoption in engineering teams
- A reflective approach to AI implementation
- AI’s impact on testing and quality assurance
- Security considerations and guardrails for AI
- Measuring ROI and success in AI projects
- AI’s role in boosting productivity and innovation
- Challenges and misconceptions around AI
Dileep's LinkedIn - https://www.linkedin.com/in/dileepmarway/
Adrian's LinkedIn - linkedin.com/in/adrianprodger