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.

Despite general agreement that AI will transform most industries in the coming decades, a recent BCG survey of 2,700 companies revealed that only 11% have demonstrated significant value and impact using AI. In fact, few have managed to scale beyond pilots. With modest investments in specific AI use cases, the 11% of successful companies can generate up to 6% more revenue, and as investments increase, the revenue impact from AI can triple to 20% or more. The most advanced companies also outperform on other KPIs. But what about the other 90% of companies that struggle to show any kind of impact? What qualities do successful companies have that the others lack?

In a recent weekly video update, Edouard de Mézerac, Artefact APAC CEO, reported that Singapore's Deputy Prime Minister announced “a substantial investment of one billion Singapore dollars (approximately 750 million USD) over the next three to five years to bolster the country's AI capabilities.” This initiative isn’t just another push towards AI development; it reflects Singapore’s strategic approach to integrate AI into its core industries. Two aspects stand out in Singapore's AI strategy: business application and regulatory foresight.

Discover the value of creating digital twins for each sector, bringing increased productivity, reduced time-to-market, and improved customer satisfaction.

On 26th April 2024, Artefact Singapore and our Tech Partner, Treasure Data, a leading solutions provider of Customer Data Platform, held a panel discussion where digital and data experts from various industries gathered to delve into the topic of consumer engagement (r)evolution, as well as the key ingredients that go under the surface of such transformation.

Nathalie Beslay, CEO and co-founder of Naaia, met with Caroline Goulard, journalist and CEO of data visualization companies Dataveyes and Modality, to discuss the new AI Act, set to enter into force after its April 22nd publication in the European Union’s Official Journal. Their 45’ interview, held in The Bridge by Artefact studio, explores every aspect of this Act designed to ensure safety and compliance with fundamental rights, while boosting innovation.