Global Blog

By joining forces together, and combining the power of Treasure Data Customer Data Platform (CDP) with Artefact’s end-to-end consultancy support services, brands can generate more business value from their marketing campaigns by offering data-driven personalized experiences.

In today's data-driven world, managing data about customers can be overwhelming. This is where Customer Data Platforms (CDPs) come in. A CDP helps organizations unify, analyze, and activate customer data to create more personalized experiences and drive better business decisions. In this complete guide, we’ll explore what a CDP is, how it works, and why it’s essential for modern marketing and customer engagement strategies.

In the era of digital transformation, enterprises continuously accumulate massive data sets with growing scale and complexity.

Artificial intelligence is transforming the world of clinical trials, promising to cut drug development timelines in half.

Artefact mentioned in this interview from Brelotte Ba, deputy CEO of Orange Middle East and Africa, by Connecting Africa, on Orange's latest AI and GenAI projects.

In the dynamic landscape of modern business, data has emerged as a cornerstone of success, driving innovation and informing decision-making. Yet, the mere accumulation of data is not enough; organizations must develop the capabilities to leverage its full potential.

AI has the potential to enhance companies' growth prospects, but its deployment within organizations requires strong business and technological expertise, as well as the establishment of dedicated data and AI governance. Insights from three experts from consulting firm Artefact.

Remember Business Objects? If you do, you might see where I'm going with this. We're heading into a period where Large Language Models (LLMs) capable of building business-level software will become increasingly commoditized. It's an impressive technological feat, sure, but it's also a potential race to the bottom. Why? Because while everyone's busy showing off their latest AI parlour tricks, they're missing the real goldmine: the data itself.

Explore our 4-step framework for building a strong AI governance foundation while ensuring compliance and maximize the benefits of AI for your organization. This is the second article in our two-part series on AI data governance. The first article, Navigating the data governance landscape: Decoding AI governance, discussed the importance of designing and deploying compliant AI solutions for enterprises and why business leaders need to be proactive if they are to position their organizations as leaders in responsible AI adoption.

The most common question people ask Edouard de Mézerac, Artefact APAC CEO, is what kind of data a company or brand can access about consumers in China. Many people believe that China is completely closed. But it turns out that this is not the case. If you look at the digital ecosystems and where Chinese consumers actually are, there are three types of ecosystems and three levels of openness.