Remove frameworks
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What Is Spring Framework and Its Advantages | Simplilearn

Simplilearn

Spring framework helps develop various types of applications using the Java platforms. It provides an extensive level of infrastructure support. Spring also provides the “Plain Old Java Objects” (POJOs) mechanisms using which developers can easily create the Java SE programming model with the full and partial JAVA EE(Enterprise Edition).

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Beyond Frameworks: Agile Insights from a BA’s Odyssey

BA Times

This path, spanning over 13 […] The post Beyond Frameworks: Agile Insights from a BA’s Odyssey appeared first on Business Analyst Articles, Webinars, Templates, Jobs.

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Article: You Don’t Need a CSS Framework

InfoQ Articles

Developers use CSS frameworks to reduce boilerplate, increase quality, and drive consistency. Developers must configure and override the framework to accommodate changes. Instead of using a CSS framework, developers should write their own custom CSS. However, these gains are hard to maintain as an application’s codebase matures.

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The Top Five Open-Source AI Frameworks | Simplilearn

Simplilearn

A popular misconception is that programming languages are crucial for an AI framework based on neural networks. The results of an AI application are determined by the model architecture rather than the particular language.

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Buyer’s Checklist: How to Evaluate a B2B Contact Data Provider

After reading, you’ll gain insight into the following components: How to develop a framework for analyzing a vendor’s contact and account data. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace. Critical integrations that fit directly into your sales processes and workflows.

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The FAAR Framework for Consuming Insights from Data and Analytics 

Dataversity

According to Forrester, organizations that use data and insights […] The post The FAAR Framework for Consuming Insights from Data and Analytics appeared first on DATAVERSITY. McKinsey found that insight-driven companies report EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1].

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How to Implement a Data Quality Framework

Dataversity

The post How to Implement a Data Quality Framework appeared first on DATAVERSITY. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […].

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The Ultimate Guide to Executive Recruiting

That is why building a strong framework for executive hiring that maximizes efficiencies while minimizing cost and time to hire is important. It's no secret that hiring for a senior management position is a tough task for recruiters, and remaining open to changes and seeking better ways to source candidates is critical. How to Source Talent.

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Feedback Management: A PM's Key for Continuous and Impactful Product Growth

Speaker: Hannah Chaplin - Product Marketing Principal at Pendo & Steve Cheshire - Product Manager at Pendo

Feedback implementation frameworks that increase the precision and accuracy of the features being built. In this webinar you will learn: Pros and cons of different feedback collection methods and how to choose the right one for you. How to assess customer value. Best practices for measuring and analyzing customer feedback at scale.

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The Inside Scoop on Building a Data-Driven AI Organization

Speaker: Dr. Sunil Kumar Vuppala, Director - Data Science, Ericsson R&D, India

The trade-offs with the PLASTER+SET framework. The challenges that appear while building the solutions. Why there is a need for Edge AI and Green AI. How to disrupt your current culture and become more data-driven. How to make data FAIR. The virtuous cycle of AI and how to scale up.