Working smarter: As it becomes more difficult to use past behavior to model future sales, many retailers are turning to predictive analytics to provide additional insights.

AI-enabled analytics like predictive analytics and deep analytics can help companies understand customer behavior better, leading to improved CX.

That’s led many to take a digital-first approach to modernizing their operations by utilizing cloud computing, predictive analytics, and automation. As part of its partnership with Microsoft, Kraft Heinz is using Azure to build a “Supply Chain Control Tower” that provides real-time oversight of its factory operations and automates supply chain distribution across all product lines.

Predictive analytics can help wealth managers single out clients who are likely to switch to a new provider. A wealth manager can apply ML techniques to data from its own historical client base to uncover behavioral patterns among clients who previously moved their money to another firm.

Advances in AI and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concerns over fairness mean companies need to make scores transparent to consumers.

Predictive AI solutions could help catch it at an early stage. Early detection can give patients a better chance at benefiting from treatment and participating in clinical trials. Predictive AI can also be useful in driving clinical trials success. This will bring researchers one step closer to an effective Alzheimer's treatment.

The growing amount of digital TV ad inventory offers more refined targeting capabilities as well as the ability to drive and track more predictive outcomes. This eMarketer Snapshot includes infographics illustrating our proprietary forecasts on viewership, time spent, and ad spend. If not a subscriber to Insider Intelligence, download this complimentary Report, “US TV Usage and Ad Spend Snapshot.”.

More on this: Deliverr leverages predictive analytics and machine learning to allocate third-party sellers’ inventory across different fulfillment centers based on consumer demand. The technology also aims to determine the best shipping method to ensure items quickly arrive at customers’ doors.

Where else is it considering AI: Tripadvisor is considering the use of dynamic content tailored to their individual users as well as predictive analytics for better creative output and delivery. It is also contemplating the metaverse—with ideas like itineraries accessed in virtual reality before buying—and travel retail applications.

It’s planning to use the funding to grow its virtual care offerings, including personalized and predictive home care solutions. Biofourmis also plans to fund more clinical trials and improve its digital therapeutic (DTx). Its goal is to forge stronger partnerships with other digital health players. Who is Biofourmis?

For example, Cricket Health’s predictive analytics model determines patients’ risk for chronic kidney disease with 96% accuracy, according to the company. Why it matters: Dialysis becomes a necessity for chronic kidney disease as it advances into later stages, and this treatment weighs heavily on commercial insurers.

As virtual care becomes more integrated with different digital health tools (like AI for predictive health analytics or remote patient monitoring), providers face the burden of having to learn how to use new tech and fit it into their workflows, on top of their existing admin burden. The big takeaway: Optum’s survey results echo our own telehealth survey results from the same time period.

For example, Chime employs a predictive personalization system that delivers content to customers tailored to their individual financial interests.

Plus, there are AI applications beyond just NLP: For example, predictive analytics can be used to anticipate revenue cycle needs, predict denials before they happen, and pinpoint inefficiencies at particular stages of RCM.

The data: There could be a 22% increase in joint pain medical encounters and a 7% increase in spine-related encounters in the US this year due to drivers like delayed care, per a recent, in-depth report analyzing 2 million claims by predictive analytics company Prealize Health.

Advances in AI and predictive analytics are using consumer scores to automate business decisions to predict things like risk and fraud. But concern over fairness means companies need to make scores transparent to consumers.

AI-powered predictive tools can help map out disease progression, diagnoses, and help streamline providers’ clinical decision-making:. 40% of healthcare executives are excited about AI’s potential to improve diagnosis and predict outcomes, per Optum’s 2021 healthcare AI survey of 500 senior healthcare execs.

Predictive maintenance will provide major value for both consumer and commercial vehicles by streamlining things like repair notices and service call scheduling. Auto manufacturers will reap more profits from services if they create programs that diagnose vehicles and remind owners when to bring cars in for service. Key Takeaways. Connected cars will steadily grow.

eMarketer was pleased to moderate a Tech-Talk Webinar featuring Infutor Data Solutions' John Barnes, CTO, and Brian Burke, vice president of product. They discussed the true value of consumer identity—and how historical, current and predictive data are the past, present and future of digital marketing.