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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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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes. If you can’t walk, you’re unlikely to run.

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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

The fundamentals of measuring performance indicators are not all that different from well-established scientific evaluation methods: ask a question, set a goal, find a quantifiable means of achieving that goal, test these means, and then retest for consistency. Your Chance: Want to test a KPI management software for free?

KPI 221
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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions.

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Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Big Data Hub

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

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Top 15 data management platforms

CIO Business Intelligence

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. One common way to test market sentiment is to gather information directly from customers. OnAudience.

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Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. In addition, IBM will host StarCoder, a large language model for code, including over 80+ programming languages, Git commits, GitHub issues and Jupyter notebooks. Test out watsonx.ai And the best part of it all?

Modeling 101