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Why you should care about AI Governance
Artificial Intelligence is rapidly transforming industries, yet many organizations lack strategies for governing its responsible use. Effective AI governance ensures ethical, transparent, and safe deployment of AI systems, fostering trust and aligning technology with human values.
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Ethical Considerations When Working with AI
As AI becomes more deeply embedded in our daily lives and industries, ethical considerations like bias, transparency, privacy, and accountability can no longer be treated as afterthoughts. In this article we explore the ethical challenges of working with AI and why addressing them is just as importa...
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What is The AI EU Act and what does it mean for your business?
Artificial Intelligence (AI) is transforming industries, reshaping how we work, and raising new ethical and societal questions. In response to these developments, the European Union has introduced the EU AI Act - the world’s first comprehensive legal framework to regulate AI. But what exactly is it,...
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Transparency enables faster adoption of AI tools
AI transparency refers to the process of helping people understand how artificial intelligence really works. In this article we investigate why AI transparency is important and get insights from a real example from a customer service centre.

From Data to Impact: 5 Takeaways from the Data Innovation Summit 2025
Earlier this month, Stockholm hosted the 10th annual Data Innovation Summit: a gathering of over 3,000 professionals pushing the boundaries of data and AI. As the pace of technological advancement accelerates, this year’s event asked a critical question: How do we turn innovation into business impac...

Which chatbot to choose?
Keeping track of the differences between various AI chatbots can be a challenge. Each has unique features that make them more or less beneficial for different types of tasks. In this article, we compare the differences between the three most popular chatbots on the market: ChatGPT, Microsoft Copilot...

Five tips for machine learning in your organization
Do you also feel like your data holds more potential than your company is currently harnessing? Extracting deep insights from data or automating manual tasks with a data application often depends on machine learning (ML) as part of the foundation. In this blog, we'll give you five tips on how to get...