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.
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
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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 and 3 are coming soon...
HSO AI Readiness Assessment
Start your AI journey with this proven approach to adoption
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