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Cloud Technology

Cloud Computing Resources

Explore our collection of cloud computing content covering Microsoft Azure, AWS, and other major cloud platforms. From infrastructure setup to advanced cloud-native architectures, we provide practical guidance for leveraging cloud technologies effectively.

Our cloud resources help businesses understand how to migrate to the cloud, optimise cloud costs, implement security best practices, and build scalable applications. Whether you’re just starting your cloud journey or looking to optimise existing deployments, you’ll find relevant content here.

Topics include cloud storage solutions, serverless computing, containerisation, cloud security, and integration with AI and machine learning services. We focus on helping organisations make informed decisions about their cloud strategy and implementation.

How to score your first AI quick wins: Knowledge Worker Productivity

How to score your first AI quick wins: Knowledge Worker Productivity

When you choose to introduce Artificial Intelligence (AI) in your organisation or department there can be a lot of resistance and uncertainty, which is why it is important to start small and win fast. By taking on smaller fail-proof projects, you can build up confidence among your team as they begin to see the value of the projects and stop fearing failure and resisting changes. In this project we discuss how to boost knowledge worker productivity, something employees will be able to track themselves and see the true value of. Building momentum in this way will pave the way for greater successes down the line.

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Removing AI bias for better decision making

Removing AI bias for better decision making

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. This bias that we introduce to our business decisions can trickle through entire organisations, from recruitment to market segmentation. AI, with its lack of consciousness, human experience and gut feelings, has the potential to remove bias from businesses, and yet all too often AI is found to exhibit the same biases - link no longer works that we do.

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Building a solid foundation in data science

Steph Locke on building a solid foundation in data science We spoke to Steph Locke about how much experience is needed to build a solid foundation in data science and how to future-proof your tech skills.

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Garbage In, Garbage Out – The pitfalls of bad data

Garbage In, Garbage Out – The pitfalls of bad data

What is it? In advance of our upcoming Data Science Bootcamp, we are pleased to announce an open evening to explore the importance of data quality. Talent Garden faculty member, Steph Locke – data scientist and Microsoft AI MVP talks Garbage In, Garbage Out – The pitfalls of bad data.

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