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How to choose the best AI platform

IBM Big Data Hub

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion in value. .”

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Customizing Personal Lines Insurance with Location Data

Cloudera

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Hybrid multiclouds are typically built on open-source , cloud-native technologies like Kubernetes. Does your company need services to accelerate cloud migration ?

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12 considerations when choosing MES software

IBM Big Data Hub

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization.

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How to rule your data world: The role of data governance

BI-Survey

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. However, effectively using data needs to be learned.

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What is Data Visualization: Complete Guide 2024

FineReport

Lastly, considering future scalability and advancements in technology is essential when choosing a visualization tool. Opting for tools that offer flexibility in adapting to evolving analytical needs ensures long-term relevance and sustainability in addressing changing business requirements.