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  • How to Get Value from Data and AI Expert View Series

Expert View Series: How to Get Value from Data and AI

Proven strategies for leaders building customer value using data and AI.

Everyone's talking about AI. But here's the uncomfortable truth most tech companies won't tell you:  

The most intelligent AI models will get things wrong if your data isn't right. 

Think of data as the bloodline of AI. Poor quality data, conflicting versions of the truth, or simply not enough data to train your models. Any one of these can derail even the best AI initiative before it delivers value. 

Leaning on decades of experience, this three-part series with our experts talk you through:

1. How to start your AI journey with data fundamentals | 2. How to build a compelling business case | 3. When to move from out-of-the-box solutions to customised AI. 

  • Michael Lonnon

    Head of Cloud Services & Strategic Alliance Marketing

  • Touseef Zafar

    Chief Technical Officer, HSO

  • Matt Birtwistle

    Industry Director, HSO

Part 1: Building your data foundation

The real challenge to getting your data in order lies in your unstructured data. PDFs, documents, and spreadsheets scattered across SharePoint and network drives hold untapped potential that AI can unlock. And for AI to deliver value, this marks a good place to start.  

"Data is the bloodline of AI. Most intelligent models or AI solutions will get things wrong. And that's generally down to poor data quality. Data that provides two versions or multiple versions of the truth, or the data that’s ambiguous." - Touseef Zafar, CTO, HSO 

This said, those succeeding with AI aren't waiting for perfect data. They're pragmatic. They start with their cleanest data sets and then focus on use cases that matter to customers, proving value quickly.  

But they also understand the risks. Security concerns are real, especially when dealing with sensitive customer information. The key is starting small, proving the approach works, then scaling with confidence. 

Part 2: How to Build a Compelling Business Case for AI

Everyone’s talking about AI, but how do you make it work for you and your business? In Part 2 of our Expert View series, Matt and Touseef cut through the hype to show you how to build a compelling business case for AI, one rooted in value. After all, AI isn’t about technology, right? 

This isn’t just a technology project. Like any transformation, technology is just an enabler. It’s a people project - a change management journey - because technology is only as good as its adoption.” - Touseef Zafar, CTO, HSO 

In part 2, you’ll discover:

  • Why AI isn’t is culture project, not a tech one
  • The biggest myths about AI adoption
  • How to align your AI initiatives with your business strategy
  • Practical tips for getting buy-in, measuring value, and ensuring your AI projects deliver value 

Whether you’re just starting out or looking to scale, this episode will help you focus on what matters: solving real business problems and delivering measurable outcomes. 

Part 3 is coming soon...

Part 3: When you should turn to custom AI

You’ve started your AI journey, got some quick wins, and now you’re wondering: when is it time to explore deeper? In the final part of our Expert View series, our experts explore the tipping point between “boxed” AI - like Copilot - and custom AI tailored to your own business challenges. 

“It’s not one or the other—these things will co-exist. Boxed AI and custom AI both have a part to play, and the real value comes from knowing when to use each to solve your unique business challenges.” - Matt Birtwistle, Manufacturing IMU Director, HSO 

In part 3, you’ll discover:

  • The signs that your organisation is ready for custom AI
  • How to identify high-value use cases that set you apart from the competition
  • Real-world examples of custom AI in action
  • Why the success of your AI project is about combining the right mix of people and technology 

If you’re ready to take your adoption of AI to the next level, this episode will show you how to unlock the potential of AI. 

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