In today's data-driven world, understanding the journey of data—from its origin to its final destination—is more crucial than ever. This capability, referred to as data lineage, provides a comprehensive view of how data flows through an organization, detailing its transformations and dependencies along the way.
The first documented live performance blending generative AI and a musician took place in November 2022, when pianist David Dolan (Guildhall School of Music and Drama) improvised in dialogue with a semi-autonomous AI system designed by composer Oded Ben-Tal (Kingston University). This groundbreaking concert demonstrated the creative possibilities of AI as a collaborative partner in music.
In industries where compliance and policy management are critical, drafting and maintaining up-to-date policies is a vital yet time-consuming task. Traditionally, organizations have relied on a manual process for researching competitors' policies and creating their own. This involved labour-intensive web searches, data extraction, and content organisation in spreadsheets, followed by drafting documents from scratch.
Marketing Mix Modeling (MMM) has long been a valuable tool across industries for data-driven decision-making. Recently, it has gained renewed attention in healthcare and pharmaceuticals as a means of addressing critical questions.
Effective category and product management are crucial to the fashion and apparel industry, directly impacting sell-through rate — a key inventory management KPI and a major driver of overall sales. Optimising sell-through and minimising excess inventory begins with the product buying process.
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.
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.
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.
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.
