Big Data Data-driven Insurance Risk Management 
Cloudera
AUGUST 12, 2021
In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.
Cloudera
OCTOBER 28, 2021
I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. A Long, Long Time Ago.
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CIO Business Intelligence
APRIL 28, 2022
Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.
IBM Big Data Hub
FEBRUARY 13, 2024
Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.
bridgei2i
MAY 20, 2020
Tourism and Hospitality are also largely affected, but in FS, insurance, and CPG, the impact is moderate. And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. So how does this data and analytics enable these models? Anushruti: Got it.
IBM Big Data Hub
JULY 7, 2023
Threats to your data are virtually everywhere these days, and too often, data compromises seem almost inevitable. But with a proactive approach to data security, organizations can fight back against the seemingly endless waves of threats. Data breaches can be disastrous for organizations.
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