How AI Can Help Figure Out When Hospital Patients Need Intensive Care
When hospital patients unexpectedly take a turn for the worse and must be transferred to the intensive care unit (ICU), they are more likely to die or must spend a longer time in the hospital. But research by Julien Grand-Clément, Assistant Professor in Information Systems and Operations Management at HEC Paris and chair holder at the Hi! PARIS Center, and colleagues in the U.S. from Columbia University and the Kaiser Permanente Northern California Division of Research, suggests that a mathematical model commonly used in Artificial Intelligence (AI) can help doctors predict patients’ decline and transfer them to the ICU proactively, before their health condition deteriorate critically.
Artificial Intelligence for Business & Society
Make AI Your Ally
Artificial Intelligence has a potentially disruptive impact on organizations, firms, and society at large. The latest mind-boggling illustration came with the discovery of chatGPT’s mesmerizing results in November 2022. This followed a fall of investments in AI last year in Silicon Valley. From analyzing data in one’s business to increasing customer engagement and replacing humans in routine tasks across industries, AI is becoming more relevant to our lives and economy every day. Everyone talks about it, but do we really understand its opportunities and threats? And how can we make the best out of it, whilst ensuring that ethical requirements are met?
How Should We Design the Next Generation of AI-Powered Chatbots?
Have you been enraged by a chatbot recently? Businesses from Starbucks to LinkedIn and Singapore Airlines to eBay are embracing AI-powered communication tools. But the success of using chatbots to streamline operations and deliver consistent, round-the-clock customer support hinges on gaining user trust, show recent findings from HEC Paris Professor Shirish Srivastava and his co-authors Dr. Shalini Chandra of the SP Jain School of Global Management, Singapore and Dr. Anuragini Shirish of the Institut Mines Telecom Business School, France.
Using Innovations on Social Media for More Engagement? Be Aware of The Cultural Differences
According to Instagram, more than 500 million Instagram accounts use Stories every day, with four million businesses using Stories ads every month. But Stories may not universally have the impact that influencers and social media platforms hope they will, of increasing engagement, and revenues, respectively. HEC Paris researchers Reza Alibakhshi and Shirish C. Srivastava share their learnings of their investigation into the impact of Stories on follower engagement with influencers.
Digitalization as an Enabler of Business Transformation: The Orange Case
Transformation is lauded as the best way to build competitive advantage and adapt over the long term. To succeed, it requires a culture of adaptability, a finely tuned focus on the specific context, and the capability to build and grow an ecosystem. Two researchers share their learnings from their analysis of how Orange completely metamorphosed its business over more than two decades.
To What Extent Do People Follow Algorithms’ Advice More Than Human Advice?
Algorithms can enable faster, more effective decision making in domains ranging from medical diagnosis to the choice of a romantic partner. But for this potential to actually translate into useful practical choices, humans must trust and follow the advice algorithms provide. Researchers in Information Systems Cathy Liu Yang and Xitong Li of HEC Paris and Sangseok You of Sungkyunkwan University, have explored the factors that influence people's reliance on algorithmic decision aid.
Actual Trust in Virtual Worlds: Opportunities and Challenges for Companies Operating in the Metaverse
We Zoom, we email, we chat in Teams… a host of online tools and apps help us connect with colleagues and customers, wherever they are in the world. Exciting new opportunities for collaboration come in the form of immersive and fully configurable virtual worlds. But first, can we find ways of tackling the uncertainties and distrust people harbor about these online environments?
Even a Seemingly Stable Business Needs to Adapt to Our Rapidly Changing Digital World
No business can relax for too long, but in our digital world, it's a matter of adapt or die. And as the boom of e-commerce has revolutionized supply chains and profoundly altered customer demands, data standards for retail products have needed to evolve. This has been a challenge for GS1, the original global provider of barcodes, which has had switch from providing “data-as-a-product” to “data-as-a-service”, totally rethinking its business model in the process.
How Do Algorithmic Recommendations Lead Consumers to Make Online Purchases?
Many E-commerce sites such as Amazon, YouTube, and Netflix, but also online advertisers, use recommender systems. Recommender systems are algorithms that, based on data sets, recommend to users contents and products that match their preferences. In this interview, Xitong Li of HEC Paris, Associate Professor of Information Systems and a Hi! PARIS center’s research fellowship holder, reveals new research, a joint work with two German researchers, and explains how recommender systems induce consumers to buy.
Meta and Data Privacy: a Clash of Cultures and Generations?
HEC Paris Assistant Professor in Marketing, Klaus Miller, analyzes the February 3 Facebook/Meta stock market plunge. What exactly does it tell us about private data on internet and its links to the advertising world? We meet Klaus on February 8, the very day he and five co-researchers self-published “The Impact of the GDPR on the Online Advertising Market”. This book focuses on Europe’s GDPR and how it affects online publicity. In a wide-ranging discussion on personal data and the advertising industry, Klaus provides insights on ad blockers on news websites and their impact on our reading habits.