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.

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.

Predictive analytics spend to better forecast health crises: Life insurers in the US especially—which at the time of writing has the most cases of COVID-19 in the world—have been struck by unexpected payouts on death claims. As a result, US life insurers will invest more in predictive analytics technology to better anticipate and prepare for future crises.

The news: Johns Hopkins spinoff Bayesian Health has $15 million in VC backing to offer an AI-based clinical decision support platform designed to make health systems’ electronic health records (EHRs) more predictive. Here’s how it works: The system analyzes EHR-collected patient data and sends providers real-time clinical signals when a critical moment is detected.

For example, startups like Unite Us are using predictive analytics to connect members with social services. Cityblock Health is offering virtual care and community health services to reduce hospital admission rates.

In March, Alphabet and large health system Ascension backed Strive Health’s $140 million investment round to scale its business, a startup which works with primary care docs and nephrologists to provide predictive analytics, telehealth services, and home dialysis options for CKD patients.

Integrating AI-enabled clinical documentation tech with chart visualization and predictive workflow software could create a comprehensive, effective solution. Microsoft’s recent $20 billion acquisition of Nuance could help it penetrate deeper into the EHR space.

And predictive capabilities makes Unite Us a better target for hospitals or payers looking to partner with a SDOH software provider: According to a 2019 Society of Actuaries study, 61% of healthcare executives anticipated that predictive analytics would save their organization 15% or more by 2024. Tech Companies on the Periphery of Healthcare.

Broadridge offers a wide range of tech solutions for FIs, including multichannel communications tools, predictive market data analytics, and streamlined daily trading for more than $10 trillion in securities globally. Itiviti is a capital markets technology provider that helps over 2,000 FIs consolidate their trading infrastructure to drive cost savings.

eMarketer was pleased to moderate a Tech-Talk Webinar presentation featuring Devon DeBlasio, product marketing director at Neustar. He discussed how to build a predictive and effective audience segmentation strategy for the modern omnichannel journey.

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.

Article: Best practices for predictive analytics and consumer scoring.

Article: Best practices for predictive analytics and consumer scoring. Report: Hybrid Robo-Advisors.

Ultimately, the powerful and deft combination of 5G, AI, edge/cloud computing, IoT, and predictive analytics could steer the industry away from today’s familiar display and video ad formats toward more interactive and holistic models of data-driven, real-time, anticipatory marketing optimized at the point of need.

Includes technology such as virtual personal assistants, bots, and predictive analytics. Machine learning (ML): Machine learning focuses on the development of computer programs that can learn from the data they have access to, identify patterns, and make better decisions. And the algorithm gets better the more it's used.

In addition to upskilling its workforce, Zurich plans to make targeted improvements to business segments that already leverage the technology, such as claims and underwriting, per Annarita Roscino, head of predictive analytics. Allstate. Allstate’s internal AI Center of Excellence department is driving AI implementation across the insurer’s business segments.

“They went for a very demand-led view based on predictive insights, using their loyalty data and matching it to geography to prioritize those in need, including health workers and care workers. By tying together consumer demands, the technology and consumer experience, all underpinned by customer data, they performed particularly well to meet the core needs of their new and loyal customers.”.

Most wealth managers and banks already have disaster recovery strategies in place, but Insider Intelligence expects them to augment these efforts going forward through deeper collaboration with vendors specializing in disaster recovery and risk management, especially those that can predict IT outages using systems monitoring and predictive modeling. Read Next.