By Shania Kennedy, contributing writer for Healthcareexecintelligence.com
Many healthcare organizations are moving to adopt data analytics and artificial intelligence (AI) tools, but when it comes to more advanced computing and analytics technologies like machine learning (ML) they struggle to distinguish between current practical applications and the hype around potential future uses in medical research and clinical care.
By Kolawole Samuel Adebayo, contributing writer for Fastcompany.com
The machine learning revolution is here, and it’s changing the way we do—and conceive of—business. From generative AI chatbots like ChatGPT to Netflix’s automated personalized movie recommendations, machine learning (ML) is blazing across multiple industries with lightning speed. Particularly, advancements in ML-powered technologies are helping to solve one of the biggest challenges businesses face today: delivering a flawless customer experience.
By Danny Asnani, contributing writer for Forbes.com
There has been a significant increase in CX automation adoption among manufacturers, especially in customer service delivery, rebate management, IVR deflection and predictive analysis. As a disclosure, my company rSTAR is one provider of these CX solutions. This adoption has been triggered by the need to meet modern-day customer demands and deliver a frictionless customer experience to increase the bottom line in a highly competitive industry.
By Allister Rebeiro, contributing writer for Spiceworks.com
AI’s use in marketing will continue to skyrocket in the years to come. With the wave of hype surrounding the release of OpenAI’s ChatGPT, many marketers are thinking through how to best utilize it. Learn how it can help serve the next best action to customers from Allister Rebeiro, vice president of customer strategy at Merkle.
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