EN Archives - Page 21 of 64

Artefact, Tencent Cloud, and Alipay lead the way in AI for tourism

Artefact, in partnership with Tencent Cloud (International) and Alipay (International), hosted a seminar entitled "AI FOR TOURISM, Harnessing The Power of AI and Data for Travel & Hospitality" at its Shanghai office on 22 October. The event focused on enhancing the service experience for Chinese tourists through AI and data technology, and brought together travel and hospitality brands, including hotels, airlines, resorts, tourism boards and travel retail.

Shaping data strategy through a comprehensive assessment of data maturity

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.

Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning

Discrete choice models aim at predicting choice decisions made by individuals from a menu of alternatives, called an assortment. Well-known use cases include predicting a commuter’s choice of transportation mode or a customer’s purchases.

Placing AI at the core of business strategies: A technological and human transformation

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.

Enhancing commercial integrity with AI for business transparency

In today's China, beating fraud and staying ethical is essential for long-term success. The post-pandemic slowdown exposes weak spots, echoing Warren Buffett's warning: "Only when the tide goes out do you discover who's been swimming naked". Companies must identify risks and strengthen financial strategies to not only survive but thrive in economic downturns.

The great data platform race: Why your AI strategy might be missing the mark

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.

The era of generative AI: What’s changing

The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact they're having far beyond the usual technology circles. This is in stark contrast to previous generations of AI, which were essentially predictive and generally the subject of articles or theses confined to the realm of research and innovation.

Demystifying brand and long term effect measurement in Marketing Mix Modelling

Did you recently make a significant purchase, like a new phone, car, furniture or even jewellery? If yes, then you are probably not buying them again right now, nor will you for quite a while. According to research performed by the Ehrenberg- Bass Institute for Marketing Science (2021) there is a 95-5 rule in marketing, which means that in general 5% is in-market at any given time. In other words, 5% of consumers are ready to buy at this moment.

SODEXO, L’OREAL and NAAIA at the Adopt AI Summit by Artefact – The importance of trustworthy AI

The round table highlighted that trust in AI is essential for its implementation and adoption. This includes legal regulation, model reliability, and users' subjective trust. Without this trust, AI adoption cannot materialize.