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Four essential steps to build a game-changing data marketplace

Could a data marketplace be a game-changing solution to harness the full potential of your organization’s data assets? Learn more from our experience implementing the Collibra Data Marketplace at some of our clients.

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Is the Generative AI hype real? A look at the AI Gartner Hype Cycle

In today’s world, it is hard to escape the hype surrounding Artificial Intelligence (AI), Generative AI and its applications. From self-driving cars, ChatGPT and deep fakes, everyone has heard about the potential AI has in transforming industries and domains, as well as the world as a whole...  But is this hype real?

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How Hyperscale comes to the rescue when troubleshooting Azure SQL Server performance

What to do when facing performance issues with your ETL workflows processing data for loading your Data Warehouse in Azure SQL Server? Let’s dive into how we troubleshooted such performance issues and how Hyperscale came to the rescue.

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Data-Driven Marketing: Embracing Data Science and AI for Success

Successful marketing in today's digital era hinges on a profound understanding of customer needs and behaviours, coupled with effective actions based on that knowledge. The vast amount of data available in the digital landscape offers an unprecedented opportunity to gain deep insights into various aspects of marketing. This blog post explores the potential of data science and AI in enhancing marketing practices to achieve optimal results.

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[drumbeats] Collibra’s Workflow Designer enters the stage

What exactly is Collibra's new Workflow Designer? And how can it streamline the development of your data management workflows? Let’s dive into this exciting new product and discuss its many benefits for data professionals like you.

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How not to fail your AI projects

In today's world, stories about organizations achieving remarkable success with AI solutions dominate our news feeds, social media platforms, and marketing campaigns. These seemingly magical AI systems promise to revolutionize our lives by solving complex problems. However, the reality is far more nuanced. Amid the success stories, numerous companies find themselves trapped in nightmarish situations, struggling to make AI work for them. What separates the winners from the losers? The answer lies in one key factor: data quality.

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The European AI act: a critical review of what you’ve heard in the news

In the last weeks you might have heard that Europe adopted the first regulations on Artificial Intelligence (AI). We reviewed these regulations put forward in the European parliament. In this blogpost we will describe some of the general implications for business and give some much-needed nuances to the messages that have been circulating in the media.

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Building an Ethical Framework for Generative AI

Generative AI has ushered in a new era of possibilities, from ChatGPT to Bard and DALL-E. However, as this technology gains momentum, concerns regarding its ethical use and control have become increasingly prevalent. In this blog, we explore the guidelines set by KU Leuven, shedding light on how to navigate the intricate landscape of generative AI responsibly.

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Data Platform Next Step: Insights from a Microsoft Conference in Denmark

Join us as we explore the highlights and key takeaways from this latest Microsoft event, where Microsoft experts in data analytics shared their expertise. Discover the latest updates on Microsoft Fabric in data activation, the significance of delta tables, and the potential of integrating Fabric and dbt. Stay informed and gain valuable insights into the ever-evolving world of data analytics.

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From Data to Impact talks

From Data to Impact talks

More impact out of your data?