Remove Analytics Remove Data Remove Examples Remove IoT
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8 data strategy mistakes to avoid

CIO

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Strategy 340
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The power players of retail transformation: IoT, 5G, and AI/ML on Microsoft Cloud

CIO

Thanks to cloud, Internet of Things (IoT), and 5G technologies, every link in the retail supply chain is becoming more tightly integrated. Shanthakumar, Solution Architect – IoT, Retail Business Unit, TCS. Sensors and other IoT devices track inventory and ensure that products are safe and secure.

Retail 258
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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

They are playing out across industries with the help of edge computing, Internet of Things (IoT) devices and an innovative approach known as Business Outcomes-as-a-Service. [1] In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 317
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Industrial IoT startup Litmus Automation bags new cash to grow its product

TechCrunch

In recent years, a cottage industry has sprung up around the industrial internet of things (IoT) landscape — and the data generated by it. It’s already overfull with platforms recording, analyzing and acting on data from temperature, motion and other sensors along those lines in buildings, warehouses and factories.

IoT 202
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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

Altexsoft

In the continuously changing travel industry, data-driven insights are revolutionizing decision-making processes. Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. Travel data: external and internal sources.

Travel 52
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Improve Underwriting Using Data and Analytics

Cloudera

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data. You can read more about UDD here.

Analytics 102
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The Internet of Things: Development and Examples

Apiumhub

Introduction The Internet of Things (IoT) is not just a buzzword; it’s a transformative technology that has been reshaping our world for the past few decades. In essence, IoT is a network of interconnected devices and objects equipped with sensors, software, and communication capabilities, enabling them to collect and exchange data.