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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Testing 124
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Internet startup launches while embracing adoption

CIO Business Intelligence

When Brightspeed launched in 2022, the fiber broadband internet service had ambitious goals, acquiring a service territory encompassing more than 6.5 With millions of records to filter, comprising several terabytes (TB) of data, the IT team was hampered with processes that were manual and repetitive.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 63
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NetSuite adds generative AI to its entire ERP suite

CIO Business Intelligence

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. The ERP suite is available on Oracle Cloud Infrastructure.

IT 131
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further. Here’s a look at why you might want to roll your own cloud cost solution, what makes a successful DIY approach, and how some leading organizations have already done so.