Remove Analytics Remove IoT Remove Systems Review
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Due diligence is ever more critical as the battle for cloud sovereignty intensifies

CIO

After Google’s cooperation with T-Systems and the “ Delos ” offer from Microsoft, SAP, and Arvato, AWS now follows suit. Across the globe, customers should not wait any longer for a magical one size fits all solution or ever trust that their due diligence of regulatory requirements can be delegated to any vendor.

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What is data architecture? A framework to manage data

CIO

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. AI and ML are used to automate systems for tasks such as data collection and labeling. Real-time analytics. Application programming interfaces.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. These environments often consist of multiple disconnected systems, each managing distinct functions policy administration, claims processing, billing and customer relationship management all generating exponentially growing data as businesses scale.

Insurance 164
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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

IoT 148
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Applications and innovations in the Internet of Things (IoT)

Hacker Earth Developers Blog

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IHS Technology predicts that there will be over 30 billion IoT devices in use by 2020 and over 75 billion by 2025. Real-world applications of IoT can be found in several sectors: 1.

IoT 283
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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 205
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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Clinics that use cutting-edge technology will continue to thrive as intelligent systems evolve. At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Healthcare is poised to benefit significantly from the proliferation of the IoT.