EN Archives - Page 20 of 64

AMGEN, BIOGEN, Johnson & Johnson, USE&SHARE, APHP at the AI for Health Summit – Strategic vision for rare diseases

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.

Revolutionizing Drug Development: Unleashing the Power of Artificial Intelligence in Clinical Trials

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.

Market Data Costs Are Rising in Financial Services – Here’s How to Get Them Under Control

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.

Transforming Customer Relationships with CEPs: A Game Changer for Businesses

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.

Unveiling the Path: Why Data Lineage is Crucial for Building Effective AI Products

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 Sound Shift: How Generative AI is Redefining the Music Industry’s Business Model

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.

Revolutionizing policy drafting with generative AI: a case study

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 in Pharmaceuticals: challenges and solutions

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.

RISE to success: a data-driven approach for new launch product buying

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.