Servier has approached AI adoption in two phases. Initially, an opportunistic approach focused on proving AI's potential through specific use cases, especially in collaboration with R&D teams.
This roundtable at the AI for Health Summit 2024 focused on the use of health data and artificial intelligence to address diagnostic delays and impasses for rare diseases. With contributions from key players in research, healthcare, and industry, this discussion emphasized the need for collective mobilization to enhance the lives of over 3 million patients in France affected by rare diseases.
Read the synthesis of Artefact's report and discover insights from healthcare and pharma companies, like Servier, Pfizer, Johnson & Johnson, Google, Elaia, Inato, Klineo, Deemea, and Naaia.
With market data costs soaring—some firms reporting increases of up to 50%—controlling these expenses has become a strategic priority for financial services organizations.
Today’s businesses face the challenge of building personalised connections with customers across multiple channels. A Customer Engagement Platform (CEP) is designed to simplify this by centralising and streamlining customer interactions, creating consistency and fostering stronger relationships. By unifying data and facilitating real-time engagement, CEPs enable companies to deliver tailored, impactful experiences that build loyalty and drive growth.
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.
