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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 244
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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

A Guide to Storage, Processing, and Analysis appeared first on Seattle Data Guy. It’s easy for humans to break down, understand, and, in turn, find insights from it. However, much of the data that is being created and will be created comes in some form of unstructured format.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Databricks Snowflake Projects for Practice in 2022 Dive Deeper Into The Snowflake Architecture FAQs on Snowflake Architecture Snowflake Overview and Architecture With Data Explosion, acquiring, processing, and storing large or complicated datasets appears more challenging. What Does Snowflake Do?

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Guide to OpenCV and Python-Dynamic Duo of Image Processing

ProjectPro

At the core of such applications lies the science of machine learning, image processing, computer vision , and deep learning. As an example, consider the Facial Image Recognition System, it leverages the OpenCV Python library for implementing image processing techniques.

Python 73
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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Snowflake to Invest up to $200M in Next Gen Startups Innovating on its AI Data Cloud

Snowflake

While the participating venture capital firms may invest in the startup companies, Snowflake plays no role in their decision-making process, and there is no guarantee that any particular company will receive funding through the program or that the target amount will be invested.

Cloud 90
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Data Preparation for Machine Learning Projects: Know It All Here

ProjectPro

Significance of Data Preparation Process in Machine Learning Data Preparation Steps for Machine Learning Projects Machine Learning Data Preparation Tools Project Ideas for Data Preparation in Machine Learning FAQs on Preparing Data for Machine Learning What is Data Preparation for Machine Learning?

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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BI Buyers Guide: Embedding Analytics in Your Software

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. 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.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. Confident Implementation 🛠 Discover best practices for integrating new technology into your processes without disruption.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.