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What’s New and What’s Next in 2023 for HPC

CIO

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

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3 Ways to Develop Market Intelligence to Benchmark Against the Competition Digitally

Cleverx

Marketing intelligence once referred to keeping track of the state of the competition, but analytics and analysis have also been brought into the fold. Gathering Market Intelligence through Competitive Analysis. Advantages of Competitor Analysis and How to Do it ? Why Develop Market Intelligence ?

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A Data-Driven Guide To Skyrocket Your Year Over Year Growth

Datapine Blog

2) Why Do You Need YoY Analysis? Here we’re going to look at the concept of YoY and consider how you can use this essential metric to your business-boosting advantage. Year over year growth is a KPI that allows you to measure and benchmark your progress against a comparison period of 12 months before. What Is YoY Growth?

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

Datapine Blog

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. When a business is measuring the effectiveness of a process, often metrics and KPIs are established to perform the evaluation and analysis.

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Generative AI copilots: What’s hype and where to drive results

CIO

Copilot benchmarks show productivity improvements Early benchmarks show that people using copilots are more productive and use time savings to focus on higher-level functions. GitHub’s research shows that users accept 30% of code its Copilot suggests and that less experienced developers have a greater advantage with AI.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

Datapine Blog

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. What Is Data Interpretation? Table of Contents.

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The Power Of Real Time Analytics & Business Intelligence Explained

Datapine Blog

Closely related to BI in real time, real time analytics is the term used to describe the process of analyzing data as soon as it enters the system, and transforming it into actionable strategies immediately, allowing users to act instantly and without any delay. It’s the art of using live dashboards to respond to data promptly.