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Perplexing Impacts of AI on The Future Insurance Claims

Smart Data Collective

We previously talked about the benefits of data analytics in the insurance industry. billion from the insurance industry. However, major advances in AI have arguably affected the insurance industry even more. They interact with AI features on their phone or when using a service, so their expectations are ever-increasing.

Insurance 142
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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

Insurance 121
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

Insurance 250
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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Each interaction amplifies the potential for errors, breaches, or misuse, underscoring the critical need for a strong governance framework to mitigate these risks. As AI adoption accelerates, it demands increasingly vast amounts of data, leading to more users accessing, transferring, and managing it across diverse environments.

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12 AI predictions for 2025

CIO Business Intelligence

Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. We have to look at how we interact with colleagues and how we interact with AI, he adds.

ROI 141
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. One opportunity is for CIOs to help their marketing departments improve brand loyalty.

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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

As a secondary measure, we are now evaluating a few deepfake detection tools that can be integrated into our business productivity apps, in particular for Zoom or Teams, to continuously detect deepfakes. For example, attackers recently used AI to pose as representatives of an insurance company.