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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

This summer’s MOVEit data breach has impacted over 2,600 organizations and 70,500,000 people worldwide, including Maximus (11 million), the state of Maine (1.3 million), the Louisiana Department of Motor Vehicles (6 million), and Oregon’s Department of Transportation (3.5 million), among others.

Data 107
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Why Stream Data Integration is a Must-Have Delivery Style

Actian

Integrating streaming data into your enterprise data landscape requires re-thinking your delivery methods for transporting streaming data from source to the target consumer. Stream data integration is the way you do that. The Exciting Challenge of Big Data. What is Stream Data Integration?

Data 40
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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.