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Klarna’s AI chatbot: how revolutionary is it, really?

The Pragmatic Engineer

The below article was originally published in The Pragmatic Engineer , on 29 February 2024. I am re-publishing it 6 months later as a free-to-read article. This is because the below case is a good example on hype versus reality with GenAI. To get timely analysis like this in your inbox, subscribe to The Pragmatic Engineer. I signed up to try it out.

IT 197
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DuckDB Out Of Memory – Has it been fixed?

Confessions of a Data Guy

The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. Polars worked fine, DuckDB failed in spectacular fashion. I also noted how many people had opened issues in […] The post DuckDB Out Of Memory – Has it been fixed? appeared first on Confessions of a Data Guy.

IT 140
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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? We will be answering all these […] The post What is Data Analytics? How to Use it in Your Career?

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Apache Druid: Who’s Using It and Why?

Seattle Data Guy

In fact, Adtech has driven much of the real-time data technologies that we have today. For example, Reddit uses a real-time database to provide… Read more The post Apache Druid: Who’s Using It and Why? appeared first on Seattle Data Guy.

IT 130
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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. With it, you can accurately identify and link entities (people, organizations, vessels, etc.)

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Metadata: What Is It and Why it Matters

Ascend.io

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. Imagine a library with millions of books but no catalog system to organize them. Chaos, right? What is Metadata?

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Understanding the Basics of Data Warehouse and its Structure

Analytics Vidhya

This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analytics Vidhya.

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5 Signs Its Time to Replace Your Homegrown Analytics

If you built your analytics in house, chances are your basic features are no longer enough for your end users. Is it time to move on to a more robust analytics solution with more advanced capabilities? Follow this free guide for tips on making the build to buy transition.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution.

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Blueprint to Modernize Analytics

As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. If it sounds like a daunting task, that's because it is.

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BI Buyers Guide: Embedding Analytics in Your Software

The business intelligence market has exploded. And as the number of vendors grows, it gets harder to make sense of it all. Don't go into the fray unarmed. This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success!

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights to make data-driven decisions, motivated to embrace AI, and leverage its potential in their work.

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Why “Build or Buy?” Is the Wrong Question for Analytics

Every time an application team gets caught up in the “build vs buy” debate, it stalls projects and delays time to revenue. There is a third option. Partnering with an analytics development platform gives you the freedom to customize a solution without the risks and long-term costs of building your own.