Side-by-side comparison of the original capture and the synthesized version: Generative AI technology adds texture and details on moon shots, blurring the line between real and synthesized images.
Generative AI has made waves around the world with its ability to create images, videos, and music that are indistinguishable from human-made content. But what happens when this technology is applied to photography, and the images we capture on our devices are no longer entirely real?
While Samsung claims that no overlays or texture effects are applied, a recent Reddit post suggests otherwise. The post provides evidence that Samsung’s moon shots are „fake“ and that the camera actually uses AI/ML to recover/add the texture of the moon to the images.
The use of AI in photography is not new, as many devices already use machine learning to improve image quality. But the use of generative AI to create entirely new images raises ethical questions about the authenticity of the content we capture and share – especially when the photographer is unaware that their images are being augmented with synthesized content.
What do you think about the use of generative AI in photography? Is it okay for a phone to use this technology to synthesize a photo, or is it crossing a line?
Storytelling with Data: A Data Visualization Guide for Business Professionals
We know that data can be a powerful tool for decision-making, but it can also be overwhelming and difficult to communicate to others in a meaningful way. This is where Storytelling with Data by Cole Nussbaumer Knaflic comes in. I chose this book for our #datamustread book club because it offers a practical guide to creating compelling data stories that resonate with your audience. Today, as we celebrate International Women’s Day, I’m excited to share this book written by a talented female author.
The Power of Storytelling with Data
In this book, we’ll explore the importance of storytelling in data visualization and how it can make your data more impactful. Cole emphasizes the need to understand your audience and context before creating a data story. Using real-world examples, she will show you how to go beyond the traditional tools to create a narrative that is engaging, informative, and compelling.
Data Visualization Best Practices
The book covers the key principles of effective data visualization. From choosing the right type of graph to eliminating clutter, Cole provides practical tips and tools for making your data visually appealing and easy to understand. She also shows how to use design concepts to make your data more engaging.
The Art of Data Storytelling
We’ll also learn how to craft a data story that resonates with your audience. Cole explains how to use data to create a compelling narrative that leads your audience to the key insights. By harnessing the power of storytelling, you can create visual stories that stick with your audience.
Throughout the book, Cole uses numerous real-world examples to illustrate her points. From the good to the bad, she provides insightful commentary on a variety of data stories. She also shares anecdotes and personal experiences that demonstrate the power of data storytelling.
Order Storytelling with Data Today
This guide is essential reading for anyone who wants to improve their data visualization skills. By following the lessons in this book, you can turn your data into powerful visual stories that resonate with your audience. If you’re looking to make your data more compelling and actionable, I highly recommend this book.
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
As a data enthusiast, you know that creating an effective dashboard is not just about presenting data, it’s about communicating insights and making data-driven decisions. That’s why I’ve chosen The Big Book of Dashboards (BBoD) for our #datamustread book club. Written by Andy Cotgreave, Steve Wexler, and Jeffrey Shaffer, this book is a comprehensive reference that provides real-world solutions for building effective business dashboards.
Let’s dive into what makes this book so valuable for data enthusiasts.
Real-world solutions for building effective business dashboards
The BBoD covers dozens of examples that address different industries and departments, such as healthcare, transportation, finance, human resources, marketing, customer service, and sports, among others. It also covers different platforms, including print, desktop, tablet, smartphone, and conference room displays. With this book as your guide, you’ll be able to match great dashboards with real-world business scenarios.
Practical and effective visualization examples in The Big Book of Dashboards
The book is organized based on scenarios and offers practical and effective visualization examples. You’ll find an entire section of the book devoted to addressing many practical and psychological factors you will encounter in your work. The expert authors have combined 30-plus years of hands-on experience helping people in hundreds of organizations build effective visualizations. They bring uncommon empathy to help you, the reader of this book, survive and thrive in the data visualization world.
Tools, guidance, and models to produce great dashboards
The BBoD gives you the tools, guidance, and models you need to produce great dashboards that inform, enlighten, and engage. A well-designed dashboard can point out risks, opportunities, and more, but common challenges and misconceptions can make your dashboard useless at best, and misleading at worst. This book will help you avoid those challenges and produce dashboards that truly make a difference.
Examples of modern, effective designs
What sets The Big Book of Dashboards apart from its peers is that it contains a number of examples of modern, effective designs. The examples are of good visualizations, rather than bad, and this focus means that the reader is exposed to a vast range of quality content, rather than endless examples of what „not to do.“
Order The Big Book of Dashboards Today
Once you’ve read the BBoD, you’ll want to keep it nearby as a guide for your data visualization projects. The book provides 20+ high-quality dashboards based on all kinds of data from different industries, with detailed explanations of why certain chart types, layouts, and colors were used, why they work well, why other choices were not good enough, and what could be changed to make the dashboard even better.
Get the Competitive Edge with Decisively Digital – The Ultimate Guide to Data Strategy
Data is a valuable asset that can give businesses a competitive edge and drive growth in today’s digital age. But without a clear and well-defined data strategy, companies risk missing out on the benefits that data provides. To help your business succeed in the digital world, here’s an overview of nine essential elements of a comprehensive data strategy.
Goals and Objectives: Define specific goals and objectives that the company wants to achieve through its data efforts, such as improving customer experiences or optimizing business processes.
Data Sources: Identify the most valuable data types and determine where they will come from, such as internal transaction or customer data and external market research.
Data Management and Storage: Outline how data will be collected, organized, and stored consistently, accurately, and compliantly, with data management tools and technologies.
Data Analysis and Reporting: Define how data will be analyzed and used to inform business decisions, with data visualization tools, dashboards, and reporting systems.
Data Governance: Establish clear roles and responsibilities for data management, guidelines for data use and access, and ensure ethical and regulatory compliance.
Data-driven Culture: Foster a data-driven culture by providing training and resources for data-driven decision making.
Data Security and Privacy: Ensure data is collected, stored, and used securely and in compliance with privacy regulations.
Data Integration and Interoperability: Define how data will be integrated and shared across systems and platforms.
Data Quality and Accuracy: Ensure data is accurate and up-to-date, with processes for data cleansing and enrichment.
A data strategy is a must-have tool for any company that wants to fully realize the benefits of its data. It provides a clear roadmap for data collection, management, and analysis and helps organizations make better use of their data, drive growth, and succeed in today’s digital world. Get more insights and in-depth information by reading the book Decisively Digital (on Amazon).
Tableau Calculated Field tips: Even more Tableau tricks in these books: “Datenvisualisierung mit Tableau” and “Visual Analytics with Tableau”
Tableau’s Calculated Field feature is at the core of its capabilities, offering powerful data manipulation and insights. In this post, we’ll explore 20 ultimate tricks to elevate your Tableau dashboards with calculated fields. Whether you’re a beginner or an expert, these Tableau Calculated Field tips will unlock the full potential of Tableau.
20 Ultimate Tableau Calculated Field Tricks – Simply Explained
📊 Summing Based on Conditions Calculate the sum of sales for a specific region: IF [Region] = "West" THEN SUM([Sales Amount]) END Great for targeted analysis!
🔗 Accessing Related Data Grab related product names: ATTR([Product Name]) Simplifies data relationships!
🧠 Row Context Calculations Calculate sales amount per Sales ID: {FIXED [Sales ID]: SUM([Sales Amount])} Unlock the power of context!
🏅 Ranking Values Rank sales amounts in descending order: RANK(SUM([Sales Amount]), 'desc') See who’s on top!
🧮 Safe Division Avoid division by zero: IF [Total Units] != 0 THEN [Total Sales] / [Total Units] END No more errors!
🔄 Multiple Conditions Use CASE for multiple conditions: CASE [Rating] WHEN 1 THEN "Poor" WHEN 2 THEN "Average" WHEN 3 THEN "Good" ELSE "Unknown" END Keep it clean!
🚫 Removing Filters Exclude filters from a calculation: {EXCLUDE [Sales]: SUM([Sales Amount])} Take control of your filters!
🔍 Lookup Scenarios Check if a product exists: IF CONTAINS([Product], "Product A") THEN "Exists" ELSE "Does Not Exist" END Look it up!
📊 Creating a Series of Numbers Generate a series of numbers: INDEX() Count it out!
📝 Conditional Formatting Apply conditional formatting based on sales performance: IF SUM([Sales Amount]) > 10000 THEN "High" ELSEIF SUM([Sales Amount]) > 5000 THEN "Medium" ELSE "Low" END Visualize performance at a glance!
Even More Tableau Tricks
📚 If you want to dive even deeper into the world of Tableau, check out my Tableau books 🔗 Visual Analytics with Tableau (Amazon) and 🔗 Datenvisualisierung mit Tableau (Amazon)! These books are packed with even more Tableau Calculated Field tips, tricks, and tutorials to help you master Tableau. Don’t miss out on these invaluable resources!
Want to stay updated with the latest Tableau insights? Follow me on Twitter and LinkedIn. Share your thoughts, ask questions, and engage with a community of Tableau enthusiasts like yourself.
Feel free to leave a comment, ask questions, or share these Tableau tweets:
1/23 🧵 Tableau Calculation Tricks 🧵
Understanding Tableau calculations can significantly enhance your Tableau dashboards. Here are some valuable tricks to help you master Tableau calcs. Let's dive in!#Tableau#DataAnalytics#100DaysOfCode#TableauTricks
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