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AI don’t think you’re ready: Data, data, data

The lack of robust, quality data management is one reason why organisations aren't ready to adopt AI

Technology adoption

Part 1
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Arran Speding

AI Specialist Lead

In this blog series, we explore the six reasons why many organisations aren't ready to adopt AI so if you missed it, please go back and read the introduction blog post. This instalment is all about data, data, data and why the lack of robust, quality data management is one reason why organisations aren't ready to adopt AI.

A successful AI implementation hinges on having a strong foundation of data visibility, control and integration, all anchored by the quality of the data involved. Given the reliance on extensive and varied datasets for training and operation, AI models require advanced data storage and management systems capable of handling and securing vast amounts of data. Generative AI models require a holistic view of data, so data silos within organisations can obstruct this integrated approach, limiting the effectiveness of AI applications.

Do you have the right fuel to power your AI adoption?

Before taking the plunge into AI, it’s essential for organisations to solidify their data management, governance, and compliance structures. Think of it like tuning your car before a race – you need to ensure everything is in top shape. Quality data management and governance are the high-performance fuel for AI; they guarantee that your data is precise, readily available and safeguarded. This is the bedrock for AI systems to operate at their best, making dependable and unbiased choices. Without this foundational step, AI might just amplify errors and biases, leading to unreliable results.

Data compliance and regulation

Complying with data protection laws like GDPR isn't just ticking off a legal checklist - it's more like fitting the best safety gear in your car. It's a critical aspect of responsible AI usage, ensuring that your AI journey respects user privacy and data rights.

Strong data management, governance and compliance aren't just the starting line; they're part of the ongoing race. They're the key elements that maintain the integrity and trustworthiness of AI-driven processes and decisions. In essence, businesses that prioritise these aspects aren’t just gearing up for a quick sprint; they’re preparing for a sustainable and secure marathon in AI adoption.

To discuss data management, governance, and compliance in your AI journey in more detail, please reach out to your Softcat Account Manager or contact our sales team. Start your safe and responsible AI adoption journey now!