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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. It is a predictable economic risk.

Risk 217
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Top 35+ Finance KPIs and Metric Examples for 2020 Reporting

Jet Global

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. These three statements are data rich and full of financial metrics. The Fundamental Finance KPIs and Metrics – Cash Flow. What is a Financial KPI? Earnings Per Share.

Metrics 98
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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. We will finish by presenting a business dashboard that will show how those metrics work together when depicting an inventory data-story. What Are Inventory Metrics?

Metrics 286
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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data. Your Chance: Want to visualize & track operational metrics with ease? What Are Metrics And Why Are They Important?

KPI 269
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15 Supply Chain Metrics & KPIs You Need For A Successful Business

datapine

That’s why it’s critical to monitor and optimize relevant supply chain metrics. Finally, we will show how to combine those metrics with the help of modern KPI software and create professional supply chain dashboards. Your Chance: Want to visualize & track supply chain metrics with ease? Cash-to-cash Time Cycle.

Metrics 260
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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics!

Metrics 142
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Typically, this approach is essential, especially for the banking and finance sector in today’s world. Right now, Big Data tools are continuously being incorporated in the finance and banking sector. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 141