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The risks and limitations of AI in insurance

IBM Big Data Hub

Artificial intelligence (AI) is polarizing. In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. It excites the futurist and engenders trepidation in the conservative.

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Swiss Re streamlines insurers’ natural disaster response with AI

CIO Business Intelligence

The same goes for reinsurance firms, which provide insurance for insurers, reducing their likelihood of large payouts—a significant factor in the insurance industry’s response to natural disasters. Immediately after such disasters, affected areas are frequently difficult or impossible to access, delaying response time to claims.

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Using Data Analytics to Optimize Your Cash Collection Approach

Smart Data Collective

Insurance companies are using data analytics to improve their actuarial processes. Besides, the staff responsible for processing invoices may not be available if the invoice has reached the correct address. Drawing the customer’s attention to the terms of payment specified in the initial contract may elicit a swift response.

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3 certification tips for IT leaders looking to get ahead

CIO Business Intelligence

Typically, CIOs consider certifications as a means for training up IT staff on vital skills around key initiatives such as cybersecurity, data analytics, AI, or the cloud. If leveraged properly, certifications can also assist IT decision-makers in their key leadership responsibilities. Create a personal learning plan.

Insurance 113
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Massive Data-Driven Trends Impacting Small Business Lending

Smart Data Collective

Many institutions that lend capital to small businesses are relying more heavily on data analytics, AI and other data-driven technology than ever before. Big data has changed the way that many of these lenders handle the actuarial and loan processing. If you look around, though, AI is already present in some businesses and homes.

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Women Leaders in Data Discuss Breaking Bias on International Women’s Day

Cloudera

Once recognized, it’s important to realize that while none of us is personally responsible for that bias, we all have a personal role to play in overcoming it. Today I understand that it is a great responsibility to be a role model for other women, just as other women have been for me throughout my career.”. Sharing our stories

Big Data 113
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Canada Life’s efforts to equally strengthen talent and tech

CIO Business Intelligence

From IT’s point of view, there’s going to be a steep trajectory over the next few years, spearheaded by generative AI and machine learning, that will dramatically change how people live and work. Integrating gen AI is exciting, not just how it can support our clients, but also our internal teams to create efficiency.”