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The case for predictive AI

CIO Business Intelligence

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. The primary objective of Predictive AI is to extract valuable insights and make informed predictions based on available data. What’s the difference? Artificial Intelligence, Machine Learning

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Your Chance: Want to test a professional logistics analytics software? 10 Essential Big Data Use Cases in Logistics Now that you’re up to speed on the perks of investing in analytics, let’s look at some practical examples that highlight the growing importance of data in logistics, based on different business scenarios.

Big Data 275
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How to use DSPM to reduce cloud storage costs: a guide on how to identify and delete redundant, obsolete, or trivial data in cloud environments using DSPM tools

Laminar Security

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.”

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

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Everything You Need to Know About Project Management Dashboard

FineReport

Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. The data displayed on your project management dashboard is seamlessly extracted from the project management system that you utilize.

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Debunking observability myths – Part 5: You can create an observable system without observability-driven automation

IBM Big Data Hub

Fact: Automation plays a crucial role in observability (and in any modern IT organization) High-performing IT departments tend to release software more frequently, and trying to keep up manually is neither sustainable nor scalable. Reduced human error: Manual observation introduces a higher risk of human error.