Data Science - make AI part of your everyday life
AI often sounds like something big and complex that requires specialists and advanced systems. But in reality, it's about using your data smarter - creating solutions that can predict, automate and optimise your business.
With Data Science in Microsoft Fabric, you get a platform where AI becomes tangible and accessible. You can build models, test ideas and turn data into results - all in the same solution where your data already resides.
Why choose Data Science?
When you bring data and analytics together in one environment, the path to AI becomes much shorter. It's possible to work with Data Science without heavy setups or silos.
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Put AI into practice
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Easy access to tools
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Interaction with the rest of Fabric
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Scalable solution
Data Factory for small and medium-sized businesses
For many small and large organisations, data integration can quickly become a major challenge. Resources are limited and expensive integration projects are rarely realistic. The result is often manual solutions or half-integrations that waste time and create errors.
With Data Factory, you get an easy-to-use tool. You don't need a large data team to get value out of your data and you don't need expensive customised solutions. Fabric gives you enterprise functionality, but in a way that's manageable - even for smaller organisations.
From data to value: how AI brings you closer to the business
When AI becomes part of your everyday life, you can work more proactively and create new opportunities. From discovering patterns in your data to building intelligent solutions that save time and resources.
You can test ideas quickly, adjust models continuously and create solutions that are close to the business - instead of long development projects that are never finished.
Case: Future-proof BI solution with Microsoft Fabric
Dækpartner A/S has a BI solution with Microsoft Fabric that makes everyday life easier. Now both management and salespeople have quick access to the data they need - without having to wait for external help.
This provides an overview, flexibility and a stronger basis for decisions that strengthen the business.
The case is in danish.
Frequently asked questions and answers
Tap on the question to get the answer.
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What can I use Data Science in Microsoft Fabric for?
With Microsoft Fabric Data Science, you can unify your entire data science process in one place - from data preparation to developing, training and deploying machine learning models. This means you can create insights, predict trends and automate decisions directly in the platform without jumping between different tools.
Tip: At itm8, we help organisations make the most of Fabric so you get the most value from your data.
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What programming languages does Microsoft Fabric Data Science support?
Fabric primarily supports Python and R, the most widely used languages in data science and machine learning. In addition, you can integrate with popular ML frameworks like TensorFlow and PyTorch.
Want to get started without coding? Fabric also offers low-code and no-code options - and itm8 can help you choose the best fit for your team.
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How does Data Science in Fabric relate to Data Engineering?
Data Science and Data Engineering in Fabric are tightly integrated. This means you can easily pull datasets from your data pipelines and use them directly in your models. No cumbersome data movement - everything happens in the same platform.
At itm8, we help you build a solid data foundation to give your AI and ML projects the best starting point.
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Can I run real-time AI models with Microsoft Fabric?
Yes! Fabric makes it possible to deploy real-time AI models so you can react quickly to changes and deliver intelligent solutions to your users.
Example: real-time recommendations, predictive maintenance or automated customer service.
itm8 can help you design and implement these solutions safely and efficiently.
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Do I need advanced AI skills to get started?
No, and that's one of the strengths of Microsoft Fabric. The platform offers:
- Ready-made AI models that you can use right away.
- Low-code tools that make it easy to build models without deep technical knowledge.
- Full flexibility forexperts who want to code themselves.
itm8 can advise you on which approach is best for your organisation - whether you're a beginner or an expert.