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The Fascinating Benefits of Machine Learning for Web Hosting Monetization

Smart Data Collective

If you’re eager to monetize the web hosting services you offer to third party site owners, or you have a selection of self-hosted sites which you are eager to wring more cash out of, then machine learning could be the answer. This is where machine learning from top developers comes into play.

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

This post is a guest post co-written with SeonJeong Lee, JaeRyun Yim, and HyeonSeok Yang from Encored Technologies. Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions.

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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. The Hub-Spoke architecture is part of a data enablement trend in IT.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

To do this, telcos must reimagine their approach to data architecture: transitioning from legacy, siloed data architectures to a modern data architecture—anchored by a data platform able to integrate data across on-premises and cloud environments, and the network edge.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. Enterprise Machine Learning: . Technical Impact.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Advanced technology and new approaches are needed. It’s more complex, and it requires more storage.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.