Data Collection Insurance IoT 
CIO Business Intelligence
FEBRUARY 20, 2025
The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. With updated data collection capabilities, companies could find a treasure trove of data that their AI projects could feed on. of their IT budgets on tech debt at that time.
Smart Data Collective
DECEMBER 20, 2019
As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning. IoT can turn that around.
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Cloudera
SEPTEMBER 4, 2020
The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.
Smart Data Collective
DECEMBER 1, 2022
As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.
Cloudera
SEPTEMBER 22, 2022
Insurance carriers are always looking to improve operational efficiency. We’ve previously highlighted opportunities to improve digital claims processing with data and AI. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ).
Cloudera
MAY 4, 2022
The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI’s ability to multitask and review massive amounts of data accelerates activities in inhuman ways.
Cloudera
AUGUST 12, 2021
The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.
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