Wed.Oct 30, 2024

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What are the Challenges of Applying Machine Learning in Economics and Business?

Analysts Corner

While machine learning (ML) offers transformative potential for economics and business, applying it effectively in these fields presents unique challenges. Economic and business data are often complex, interdependent, and prone to fluctuations, making it difficult for models to maintain accuracy and relevance over time. Additionally, machine learning models in these fields must balance interpretability with predictive power, as transparency is crucial for decision-making.

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From Data Silos to Unified Insights: Transforming IT Asset Management

Dataversity

Like virtually every other function within the modern enterprise, IT asset management is powered by data. Specifically, IT asset management teams need data about which endpoints, applications, services, and other assets they are responsible for supporting. A common problem, however, is that there is no single source of truth for that data. Different teams tend […] The post From Data Silos to Unified Insights: Transforming IT Asset Management appeared first on DATAVERSITY.

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Building Customer-Centric Products with Design Thinking + Templates

Analysts Corner

Great Strategy Begins with Research and Insight Continue reading on Analyst’s corner »

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Article: Jump Into the Demoscene; It Is Where Logic, Creativity, and Artistic Expression Merge

InfoQ Articles

The demoscene is a vibrant, creative subculture where you can use mathematics, algorithms, creativity, and a wee bit of chaos to express yourself. In this article, I want to inspire you to grab the opportunity to get your voice and vision on the table, and show you that the demoscene is not only for mathematical wizards.

Vision 103
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Reduce Bias in Hiring: Structured Interview Questions for Employers

Structured interview questions are a valuable tool for reducing bias in hiring. They help: Ensure all candidates are asked the same questions in the same way Level the playing field so all candidates have a fair chance of being successful Improve credibility, reliability, and validity Download the guide to get the most out of your interview questions!

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The Nightmares of Product Management 

280 Group

The Out-of-Control Episode Good evening, my dear product managers… Just when you thought it was safe to go back into the backlog… (sinister chuckle) they’ve returned. Yes, our product management nightmares are back, and this time, they’ve spiraled deliciously out of control. Welcome, brave souls, to another collection of tales that haunt our noble profession.

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Why Your Organization Should Use AI to Improve Data Quality

Astera

Data’s value to your organization lies in its quality. Data quality becomes even more important considering how rapidly data volume is increasing. According to conservative estimates, businesses generate 2 hundred thousand terabytes of data every day. How does that affect quality? Well, large volumes of data are only valuable if they’re of good quality, i.e., usable for your organization’s analytics and BI processes.

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Low-Code Development Platforms – The Honest Review!

Fingent

Coding used to belong only to professional programmers. This was until the genius invention of low-code programming, which is now available to anyone with basic coding knowledge. But do low-code development platforms live up to their ambitious promises? Do they truly offer transformative solutions, as they claim? What are their limitations, if any? We have […] The post Low-Code Development Platforms – The Honest Review!

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AI data catalogs in 2024: what’s changed and why it matters

Astera

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. One of the areas affected is data catalogs, which are no longer simple tools for organizing metadata. They’ve evolved dramatically into powerful, intelligent systems capable of understanding data on a much deeper level.