全球 Blog

Combining data exchange with generative AI enables banks to manage data more efficiently. This synergy promotes more personalized banking experiences while meeting the trust, legality and data accuracy requirements expected by their clients and stakeholders. Because the marketing sector faces the same challenges, Artefact has built a use case for improving persona creation, utilizing IBM’s Watsonx.ai platform powered by generative AI.

Learn how incorporating Privacy by Design (PbD) principles into GenAI solutions is essential for data privacy.

At the "AI for Climate" networking event held on December 6, 2023, at COP28 in the UAE, Artefact brought together a diverse audience. The event provided a platform for participants to connect, collaborate, and engage in dynamic discussions surrounding climate challenges and potential solutions.

The data & AI consultancy reveals the impact of AI on business productivity in a new white paper. Read the article in french on Challenge.

In today's digital age, the antiquated idea of centralised data governance is obsolete. Decentralised Data Governance offers agility...

Our Consulting Director Benelux Ties Carbo, recently discovered that Funnel's views on data governance needed some extra polishing and clarification. In an interview with Funnel he dives into the key strategies of data governance to consider.

In the data world, the concept of "data for data's sake" is meaningless. At Artefact, our philosophy has always been that data strategy...

About one-third of chief marketing officers in the Middle East and North Africa (MENA) say they’re investing in personalisation this year.

Big data platform have become an essential foundation for organizations to efficiently deploy data solutions.

Artefact is a French data and AI services company whose mission is to improve business productivity and profitability.

Michael (Minchun) ZHOU, Qingyi WANG, give a brief introduction to AIGC, and delivered hands-on use cases for CxOs about analytical...

Tourism boards or destination authorities must first know which phase the destination is in, and understand the strategic imperatives needed to evolve to the next phase. They should then identify the data use cases required to address each strategic imperative and select which data use cases to prioritize for each phase, as indicated in the chart above.

An emerging destination must secure a critical mass to be recognized as a “must-visit” destination. The diagram below illustrates the four phases of such tourism destinations. This evolution represents the ideal growth pathway; while not all destinations are able to reach the advanced phases, this should be their objective.

As several countries in MENA strive to strengthen their positions as global tourism destinations and travel hubs, data analytics and intelligence have become crucial to establishing global presence and gaining competitive edge. In fact, data can help these countries break the growth deadlock of emerging destinations by fueling marketing excellence, stimulating supply creation and improving visitor experience.

In this article, Oussama Ahmad and Karim Hayek present ten Proven Tactics from the Battlefield.

Before exploring machine learning (ML) data catalogs, let's define what a basic data catalog is: a central repository that stores metadata.

Data technologies are now at the head of the aisle in the great supermarket of retail opportunities. Serve yourself: take advantage of these unbeatable offers today!