生成人工智能时代医疗保健领导者的实际步骤（英）

© 2023 Boston Consulting Group1Generative artificial intelligence (GenAI) a set of algorithms capable of generating seemingly new,realistic content such as text, images, or audio from so-called training data in a way that resembleshuman output represents one the most significant technological advances in recent history. More thanjust another trendy tech wave, GenAI has the potential to be truly transformational. Already we seeevidence of its power in the speed of its adoption, the outsized market expectations surrounding it, andproductivity gains it has already achieved in small-scale case examples. Despite its relative youth,GenAI is proving to be a game changer. (See Exhibit 1.)Finding the Sweet Spot for Generative AIin PaymentsDECEMBER 07, 2023 By Carlos Bravo, Max Nitsche, Stanislas Nowicki, Ella Rabener, Phillipe Savary, and Michael StraußREADING TIME: 12 MIN© 2023 Boston Consulting Group2GenAI is poised to affect many aspects of daily life, including how we purchase goods and, therefore,how we pay, making the payments industry particularly fertile ground for GenAI-based transformation.The technology provides clear opportunities on the consumer-facing side of the business (how peoplepay online) and even greater opportunities on the operations side (how payments companies constructand execute their business and operating models). But how can different players in the paymentsecosystem best harness the capabilities of GenAI to benefit their organizations and their customers?To explore this and related questions, BCG examined how GenAI is likely impact each link in thepayments value chain. Our team followed a structured process that included the following fiveinitiatives: Our findings revealed multiple scenarios, with commercial success depending on factors such as theorganization’s full understanding of how GenAI actually works, its starting-point tech capabilities, itstraining quality and efficiency, its dedication to responsible AI, and the presence or absence of full C-•Create a list of potential use cases for each link.•Challenge GenAI applicability to pre-identified use cases.•Estimate the gross productivity increase by identifying the foreseeable GenAI impact on individualprocesses.•Estimate the net productivity savings by applying a discount to use cases where the realizablepotential may be lower than expected, owing to low tech maturity or a low share of employee timespent on the task.•Evaluate ease of implementation, considering such elements as tech requirements, dataaccessibility, and data-privacy challenges.© 2023 Boston Consulting Group3suite buy-in for transformation. Payments players that do not recognize the potential indeed, theinevitability of GenAI and prepare for its impact may eventually find themselves facing a double-barreled problem: unhappy customers who expect a higher level of service, and advantaged rivals whoembraced the technology early and have positioned themselves optimally. Will GenAI Prompt a Consumer Payments Evolutiono