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Innovative data integration in 2024: Pioneering the future of data integration

CIO

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

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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] Already, Atos customers have reported positive experiences. It’s bringing advanced analytics and AI capabilities where they’re needed most – the edge.

IoT 317
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The impact of AI on edge computing

CIO

It’s like having a mini data center right where the action happens.IDC reports worldwide spending on edge computing is expected to reach $232 billion in 2024, an increase of 15.4% Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. over 2023 2.

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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? IoT adoption has ever since become inevitable.

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Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. In this report, Forrester states – “ What happened yesterday happened yesterday. It’s too late.

Analytics 103
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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.