The Jason Rantz Show on KTTH has seen flyers for events at Sammamish, Redmond, Issaquah, Newport, Evergreen, Capitol and Avanti High Schools. The same flyer, featuring barbed wire around a megaphone painted to look like a Palestinian flag, is promoting a rally for all Seattle Public Schools ...

Seattle students rally for Hamas as antisemitism soars | Rantz - MyNorthwest.com

Unfortunately, bad air quality will plague the Seattle area for three weeks this year. And the trend is projected to get worse.

The National Weather Service sees a possible 'Heat Dome' coming - MyNorthwest.com

Has this unique home ever caught your eye while driving through downtown Seattle? Dubbed the &#x27;Triangle House,&#x27; and formally called the &#x27;Egan House,&#x27; you can call it your own for under one million, a rarity in itself for the red-hot PNW housing market.{ }Designed by renowned architect Robert ...

Photos: Seattle's landmark 'Triangle House' lists for under $1 million

In 2020, Amazon built a shelter for women and families experiencing houselessness on its campus in Seattle, Washington. The shelter was operated in partnership with a nonprofit organization known as Mary’s Place and was designed to address what had become an urgent problem for Seattle and ...

Amazon in Seattle: The Role of Business in Causing and Solving a Housing Crisis

Los Angeles has seen 15.77 inches of rainfall since the year began. Seattle has only seen around 12.94 inches since Jan. 1. During a more typical year, Seattle would have seen around 16 inches of rain by now, according to data from the National Weather Service (NWS).

WA drought | Los Angeles has seen more rain than Seattle in 2024 | king5.com

Seattle Public Library is number eight in the world when it comes to digital checkouts from Overdrive, a global distributor of digital books and makers of the Libby app. King County Library System is third. Seattle is the only metro area that appears on the list twice.

KUOW - Digital reading soars in Seattle, creating problems for local libraries

The Puget Sound Business Journal (Seattle) features local business news about Seattle. We also provide tools to help businesses grow, network and hire.

Union says striking electricians have shut down multiple job sites in 
Seattle region - Puget Sound Business Journal

SEATTLE — The Seattle City Council took a step forward on legislation Tuesday that would grant authority to the Seattle Fire Department (SFD) to tear down vacant, derelict buildings. The SFD chief said he is poised to act as soon as the emergency legislation goes into effect in May.

Seattle outlines legislation, timeline to demolish vacant buildings

Alarmed by the growing number of fires at abandoned properties, Seattle Fire Chief Harold Scoggins is supporting a new strong-armed solution that cracks down on private property owners in favor of public safety.

Officials concerned by surge in abandoned building fires in Seattle

Hey there! We’re Seatti, a Munich and Berlin based Startup that wants to enable everyone to work from wherever the hell they want

Seatti

Desktop customization is a fun activity that many of you have likely tried at least once. There are various customization options, such as changing the boot screen logo, the start menu icon, or transforming the entire Windows interface to resemble macOS. Today, we are about to discuss one such customization, which is setting a different background wallpaper for each desktop (or monitor) in Windows 11 and 10 for aesthetics, productivity, creativity, or any other reason. Setting Different Backgrounds for Each Desktop on Windows 11, 10 In Windows, there is no limit on the number of desktops you can create from Task View (though more desktops will consume more system resources), allowing you to create as many desktops as you want and set different wallpapers for each. To customize which wallpaper appears on each desktop, 1. Press Win+Tab to open Task View. All your existing desktops will be listed below, with a "+" option to create more. 2. Right-click on the respective desktop (in my case, "Desktop 2") whose background wallpaper you want to change, and then select "Choose background" from the context menu. 3. It will redirect you to the "Personalize your background" section for that desktop, where you can choose a wallpaper from the recent images or select a new one from the file explorer. 4. Once the new background wallpaper for the desktop is set, you can confirm the changes by visiting the desktop. 5. To verify that each desktop has its own separate background wallpaper, you can take another peek into the Task View using Win+Tab shortcut. That's it! You've successfully set a different background wallpaper for each desktop on Windows 11 and 10. Bonus Tip! You can directly change the desktop background wallpaper from your current desktop by navigating to "Settings" -> "Personalization" -> "Background" and then right-clicking on any image to open a context menu with the "Set for desktop" option, allowing you to change the background wallpaper of your preferred desktop. Wrap Up That’s how you can change the background wallpaper for each desktop on Windows 11 and 10. You can further change all of your existing desktops background wallpaper by following this method. Desktop customization is a fun activity that many of you have likely tried at least once. There are various customization options, such as changing the boot screen logo, the start menu icon, or transforming the entire Windows interface to resemble macOS. Today, we are about to discuss one such customization, which is setting a different background wallpaper for each desktop (or monitor) in Windows 11 and 10 for aesthetics, productivity, creativity, or any other reason. Setting Different Backgrounds for Each Desktop on Windows 11, 10 In Windows, there is no limit on the number of desktops you can create from Task View (though more desktops will consume more system resources), allowing you to create as many desktops as you want and set different wallpapers for each. To customize which wallpaper appears on each desktop, 1. Press Win+Tab to open Task View. Win+Tab All your existing desktops will be listed below, with a "+" option to create more. All your existing desktops will be listed below, with a "+" option to create more. 2. Right-click on the respective desktop (in my case, " Desktop 2 ") whose background wallpaper you want to change, and then select " Choose background " from the context menu. Desktop 2 Choose background 3. It will redirect you to the " Personalize your background " section for that desktop, where you can choose a wallpaper from the recent images or select a new one from the file explorer. Personalize your background 4. Once the new background wallpaper for the desktop is set, you can confirm the changes by visiting the desktop. 5. To verify that each desktop has its own separate background wallpaper, you can take another peek into the Task View using Win+Tab shortcut. Win+Tab That's it! You've successfully set a different background wallpaper for each desktop on Windows 11 and 10. Bonus Tip! You can directly change the desktop background wallpaper from your current desktop by navigating to " Settings " -> " Personalization " -> " Background " and then right-clicking on any image to open a context menu with the " Set for desktop " option, allowing you to change the background wallpaper of your preferred desktop. Settings Personalization Background Set for desktop Wrap Up That’s how you can change the background wallpaper for each desktop on Windows 11 and 10. You can further change all of your existing desktops background wallpaper by following this method.

Setting Different Backgrounds for Each Desktop on Windows 11 and 10

Tips for Setting Healthy Boundaries At Work

Many students find it difficult to craft top quality essays and hit their deadlines, due to a range of issues, like hectic schedules or lack of knowledge on the topic. Fortunately, EssayFlow is here to help. A highly-rated undetectable AI essay writing tool, EssayFlow can craft humanized AI essays that are undetectable, original, and of high quality. In this EssayFlow review, we’ll dig into the functions, advantages, and recommended use cases of this leading undetectable AI essay writer. An Introduction to EssayFlow EssayFlow is an AI essay writer. It can craft amazing essays in an instant, helping students overcome “writer’s block” or deal with difficult deadlines. This AI essay writer is also undetectable. That means it creates human-like output, without the usual signs of AI writing, so it can bypass AI detection on platforms like Turnitin and Originality. With EssayFlow, students can confidently submit top-notch essays without compromising originality or quality, revolutionizing the way essays are created in the digital age. Key Features and Selling Points of EssayFlow Humanized Essay Content EssayFlow creates essays that seem exactly as though they were written by real people. That’s because it was trained on millions of genuine, human-written essays to mimic the same style of writing. It’s therefore almost impossible to detect EssayFlow’s output as AI, even with AI checkers like Turnitin. Works in a Range of Essay Styles EssayFlow can help students write many different types of essays. That includes descriptive essays, critical essays, argumentative papers, persuasive texts, and more. It adjusts its writing style and tone to suit the specifics of each essay type, creating varied and original content, every time. No Plagiarism Guarantee EssayFlow never plagiarizes. It produces purely original, fresh work with every usage. Thanks to that, students can rest assured that their essays will be able to bypass plagiarism detection scanners, as well as AI detection platforms. Speedy and Productive EssayFlow was designed to help students who are struggling to get essays done on time. While it might take a student several hours to write an essay, EssayFlow can do the same in a matter of minutes. It’s ideal for speeding up and streamlining the entire essay writing process, without compromising on quality. Works in Almost Any Language EssayFlow is suitable for users all over the globe, thanks to the fact that it works in dozens of different languages – over 50, to be precise. So, no matter whether you need to create essays in French, German, Spanish, or some other language, you can do it all with EssayFlow. Built-in AI Detection Scans EssayFlow also has a built-in AI checker to scan essays and see if they can pass AI detectors, such as ZeroGPT and Copyleaks. It saves users even more time, providing instant feedback and multiple scan results in a fraction of the usual time. Improving Grades and Understanding EssayFlow is a super study aid. It not only produces top quality content for students, but also helps them learn. They can read through the essays and ideas outlined by EssayFlow to deepen their understanding of difficult topics and fine-tune their essay writing abilities. How to Use EssayFlow Next, let’s see how easy it is to use EssayFlow, with a simple four-step guide. Step 1: Input Your Essay Requirements to EssayFlow First, you have to type in the subject or topic of your essay, and provide a brief overview of how it should turn out. You can pick the type of essay you want, what language you want it in, and how long it should be. EssayFlow will use all of your input to create a customized essay, just for you. Step 2: Activate Undetectable Mode (Optional) If you want your essay to be human-like and undetectable by AI scanners, make sure to tick the “Undetectable Mode” box before continuing. If you do that, EssayFlow will take extra steps to ensure your essay has no signs of AI writing. Step 3: Pick a Generation Mode Next, it’s time to make your essay. You’ve got two options here: One-Click Generation or Generate Titles. One-Click Generation: Ideal for rapid results, this creates an instant essay based on your title and provided info.
Generate Titles: With this method, EssayFlow will first create an outline, which you can edit and amend, before continuing to create the full essay. It gives you more control over the final result. No matter which button you click, EssayFlow will use its advanced technology to create a top quality draft for you to read through. Step 4: Create and Scan Your Essay. Once the essay has been generated, EssayFlow will instantly put it through a quick AI scan. It’ll run the essay against a range of leading detectors – including Copyleaks and ZeroGPT – to tell you whether or not it passes as human. Summing Up Overall, EssayFlow is an extraordinary example of what AI technology can do for students today. It’s a powerful, state-of-the-art undetectable AI essay writer, which also offers benefits to those working in research or academia. Indeed, anyone who needs to write essays, research papers, or similar kinds of content can turn to this tool for AI-powered assistance. It’s also by far one of the best and only tools that are truly capable of crafting not just high quality AI essays, but humanized essays, too. It can beat all the big detectors and doesn’t produce the same kind of boring, bland, and robotic content as other AI writers. With its many customization features, adaptable approach, emphasis on originality, and multilingual support, it’s a complete, comprehensive AI essay writer, changing the way essays are made forever. Give it a try, absolutely free, and experience what this awesome AI essay generator can do for you. This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author Many students find it difficult to craft top quality essays and hit their deadlines, due to a range of issues, like hectic schedules or lack of knowledge on the topic. Fortunately, EssayFlow is here to help. A highly-rated undetectable AI essay writing tool, EssayFlow can craft humanized AI essays that are undetectable, original, and of high quality. EssayFlow EssayFlow In this EssayFlow review, we’ll dig into the functions, advantages, and recommended use cases of this leading undetectable AI essay writer. An Introduction to EssayFlow EssayFlow is an AI essay writer. It can craft amazing essays in an instant, helping students overcome “writer’s block” or deal with difficult deadlines. This AI essay writer is also undetectable. That means it creates human-like output, without the usual signs of AI writing, so it can bypass AI detection on platforms like Turnitin and Originality. With EssayFlow, students can confidently submit top-notch essays without compromising originality or quality, revolutionizing the way essays are created in the digital age. Key Features and Selling Points of EssayFlow Humanized Essay Content EssayFlow creates essays that seem exactly as though they were written by real people. That’s because it was trained on millions of genuine, human-written essays to mimic the same style of writing. It’s therefore almost impossible to detect EssayFlow’s output as AI, even with AI checkers like Turnitin. Works in a Range of Essay Styles EssayFlow can help students write many different types of essays. That includes descriptive essays, critical essays, argumentative papers, persuasive texts, and more. It adjusts its writing style and tone to suit the specifics of each essay type, creating varied and original content, every time. No Plagiarism Guarantee EssayFlow never plagiarizes. It produces purely original, fresh work with every usage. Thanks to that, students can rest assured that their essays will be able to bypass plagiarism detection scanners, as well as AI detection platforms. Speedy and Productive EssayFlow was designed to help students who are struggling to get essays done on time. While it might take a student several hours to write an essay, EssayFlow can do the same in a matter of minutes. It’s ideal for speeding up and streamlining the entire essay writing process, without compromising on quality. Works in Almost Any Language EssayFlow is suitable for users all over the globe, thanks to the fact that it works in dozens of different languages – over 50, to be precise. So, no matter whether you need to create essays in French, German, Spanish, or some other language, you can do it all with EssayFlow. Built-in AI Detection Scans EssayFlow also has a built-in AI checker to scan essays and see if they can pass AI detectors, such as ZeroGPT and Copyleaks. It saves users even more time, providing instant feedback and multiple scan results in a fraction of the usual time. Improving Grades and Understanding EssayFlow is a super study aid. It not only produces top quality content for students, but also helps them learn. They can read through the essays and ideas outlined by EssayFlow to deepen their understanding of difficult topics and fine-tune their essay writing abilities. How to Use EssayFlow Next, let’s see how easy it is to use EssayFlow, with a simple four-step guide. Step 1: Input Your Essay Requirements to EssayFlow First, you have to type in the subject or topic of your essay, and provide a brief overview of how it should turn out. You can pick the type of essay you want, what language you want it in, and how long it should be. EssayFlow will use all of your input to create a customized essay, just for you. Step 2: Activate Undetectable Mode (Optional) If you want your essay to be human-like and undetectable by AI scanners, make sure to tick the “Undetectable Mode” box before continuing. If you do that, EssayFlow will take extra steps to ensure your essay has no signs of AI writing. Step 3: Pick a Generation Mode Next, it’s time to make your essay. You’ve got two options here: One-Click Generation or Generate Titles. One-Click Generation: Ideal for rapid results, this creates an instant essay based on your title and provided info. Generate Titles: With this method, EssayFlow will first create an outline, which you can edit and amend, before continuing to create the full essay. It gives you more control over the final result. One-Click Generation: Ideal for rapid results, this creates an instant essay based on your title and provided info. Generate Titles: With this method, EssayFlow will first create an outline, which you can edit and amend, before continuing to create the full essay. It gives you more control over the final result. No matter which button you click, EssayFlow will use its advanced technology to create a top quality draft for you to read through. Step 4: Create and Scan Your Essay. Once the essay has been generated, EssayFlow will instantly put it through a quick AI scan. It’ll run the essay against a range of leading detectors – including Copyleaks and ZeroGPT – to tell you whether or not it passes as human. Summing Up Overall, EssayFlow is an extraordinary example of what AI technology can do for students today. It’s a powerful, state-of-the-art undetectable AI essay writer, which also offers benefits to those working in research or academia. Indeed, anyone who needs to write essays, research papers, or similar kinds of content can turn to this tool for AI-powered assistance. It’s also by far one of the best and only tools that are truly capable of crafting not just high quality AI essays, but humanized essays, too. It can beat all the big detectors and doesn’t produce the same kind of boring, bland, and robotic content as other AI writers. With its many customization features, adaptable approach, emphasis on originality, and multilingual support, it’s a complete, comprehensive AI essay writer, changing the way essays are made forever. Give it a try, absolutely free , and experience what this awesome AI essay generator can do for you. Give it a try, absolutely free Give it a try, absolutely free This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

EssayFlow Review: Setting the Standard for Undetectable AI Essay Writing

Setting up Data Streams Using NiPyAPI: UI-Free Guide

At Hummus Said in Acre, Israel, I always order hummus with Foul, don’t think much about it, just add a bit of salt and digg in with the onion. At Hummus Said, a legendary restaurant in Akko, Israel, I savor their signature dish: creamy hummus with a side of Foul. The taste is always perfect, but on one visit, I brought a giant container, joking, "Can bulk hummus match this experience?" Said, the owner and hummus maestro, chuckled, "The flavor might be the same, but the experience suffers.” Just as the bulk hummus misses the essence of Hummus Said, many leaders get lost in the sheer volume of data.  They dream of overflowing databases, perfect metrics for drag-and-drop dashboards, and magically solved problems.- Lior Barak Forget the data dreamland, leaders! You envision overflowing databases, perfect metrics for drag-and-drop dashboards, and magically solved problems. Think again. Simple KPIs like sessions and revenue are just appetizers, not the full course to success. The harsh reality? Most companies choke on their data because they focus on the wrong ingredients. Data strategy isn't a gourmet buffet; it's a clear, actionable recipe. Time to ditch the data daydream and start cooking! Set Clear KPIs! Many leaders envision a data strategy as a readily available buffet - a vast collection of metrics that can be easily assembled into insights. This approach, however, overlooks a critical first step: defining clear and actionable Key Performance Indicators (KPIs). Just as a chef wouldn't haphazardly throw ingredients together and expect a culinary masterpiece, a data strategy requires a well-defined recipe. Your recipe, in this case, consists of the 3-5 key performance indicators (KPIs) that truly capture the essence of your company's success. These KPIs serve as the foundation for your data strategy, guiding all stakeholders towards the metrics that matter most. Think of KPIs as the flavor profile of your data. In my book, "Data is Like a Plate of Hummus" I promote a funnel methodology for defining KPIs: Identify key questions: What are the most critical questions you need answered about your business? For example: What are the revenues from ad-free subscriptions?
How many users bought more than one item in the same basket? Refine your questions: Focus on the most essential ones. Understand which questions are critical for your company goals and strategy, and which answers will help you evaluate the company's health. Define KPIs: Which metrics can effectively provide answers to those refined questions? Understand the KPIs that will give you these answers following the five W's principles: Who is the controller of the KPI? Who owns the data that will be used for the KPI, and who is responsible for ensuring its accuracy and stability?
What action will it drive me to take? If I see a positive or negative change in the KPI.
How well will it give me answers for the company’s health? What else am I missing?
Where is the issue? Can I receive an answer about which company section the issue is?
When do I need to see it? How frequently are these measurements needed? (For example, a weekly "time-on-site" KPI might be sufficient to gauge the effectiveness of UX changes, not requiring daily monitoring.) Building Scalable and Iterative Infrastructure Now that you know what flavors you need, let's talk kitchen setup. Think fast, efficient deployment. Forget a one-size-fits-all approach. Start with a basic setup that can be easily enhanced. Treat it like a recipe collection, evolving with each new dish. Each iteration focuses on either enhancing the kitchen tools or optimizing costs. As a chef, you care if your kitchen equipment is top-of-the-line or basic, but you will know how to work with both. What matters is delivering a delicious, well-presented dish. Your team needs to think about how to maximize the buy/build approach for the first iteration because they will learn all the time about what enhances the flavors and what doesn't, and where the issues lie. The main purpose of picking kitchen tools should be to enhance the Secret Ingredients you selected and allow for further experimentation by the chefs. It needs to be something that will be easy to switch or optimize. But for me, the more important part of the setup is to launch something I can taste-test with the diners and learn how it complements the dish, whether they notice enhancements or not. So, don’t deploy and forget until it breaks. The data chefs need to go around and collect feedback, understand the flavor profiles of diners, and prioritize them in the recipe book. Building trust is essential. Inconsistent flavors in a dish quickly erode a diner's trust in the chef. Similarly, unreliable or inconsistent data undermine the credibility of your data-driven insights. Establish clear data governance guidelines – outlining data availability timelines, ownership, and issue resolution protocols – to ensure data quality and consistency. Imagine the wasted effort required to validate data if its reliability is questionable constantly! Embrace the Journey, Share the Feast Data strategy is about crafting flavorful dishes for a successful restaurant. By focusing on clear recipes (KPIs), strong governance, and a scalable kitchen setup (infrastructure), you can create your culinary oasis – one that delights your diners (customers) and fuels your restaurant's (company's) growth. Ready to take a bite out of your data woes? Read my book, "Data is Like a Plate of Hummus” Buy My Book On Amazon Dive deeper into the five Ws of effective KPIs, explore data governance best practices, and guide you through building a scalable data infrastructure. Learn how to transform your data into a strategic advantage and unlock the full flavor of your company's success! At Hummus Said in Acre, Israel, I always order hummus with Foul, don’t think much about it, just add a bit of salt and digg in with the onion. At Hummus Said, a legendary restaurant in Akko, Israel, I savor their signature dish: creamy hummus with a side of Foul. The taste is always perfect, but on one visit, I brought a giant container, joking, "Can bulk hummus match this experience?" Said, the owner and hummus maestro, chuckled, "The flavor might be the same, but the experience suffers.” Just as the bulk hummus misses the essence of Hummus Said, many leaders get lost in the sheer volume of data.  They dream of overflowing databases, perfect metrics for drag-and-drop dashboards, and magically solved problems.- Lior Barak Just as the bulk hummus misses the essence of Hummus Said, many leaders get lost in the sheer volume of data.  They dream of overflowing databases, perfect metrics for drag-and-drop dashboards, and magically solved problems. - Lior Barak Forget the data dreamland, leaders! You envision overflowing databases, perfect metrics for drag-and-drop dashboards, and magically solved problems. Think again. Simple KPIs like sessions and revenue are just appetizers, not the full course to success. Forget the data dreamland, leaders! Think again. The harsh reality? Most companies choke on their data because they focus on the wrong ingredients. Data strategy isn't a gourmet buffet; it's a clear, actionable recipe. Time to ditch the data daydream and start cooking! The harsh reality? Time to ditch the data daydream and start cooking! Set Clear KPIs! Set Clear KPIs! Many leaders envision a data strategy as a readily available buffet - a vast collection of metrics that can be easily assembled into insights. This approach, however, overlooks a critical first step: defining clear and actionable Key Performance Indicators (KPIs). Just as a chef wouldn't haphazardly throw ingredients together and expect a culinary masterpiece, a data strategy requires a well-defined recipe. Your recipe, in this case, consists of the 3-5 key performance indicators (KPIs) that truly capture the essence of your company's success. These KPIs serve as the foundation for your data strategy, guiding all stakeholders towards the metrics that matter most. key performance indicators (KPIs) Think of KPIs as the flavor profile of your data. In my book, " Data is Like a Plate of Hummus " I promote a funnel methodology for defining KPIs: flavor profile Data is Like a Plate of Hummus funnel methodology Identify key questions: What are the most critical questions you need answered about your business? For example: What are the revenues from ad-free subscriptions? How many users bought more than one item in the same basket? What are the revenues from ad-free subscriptions? How many users bought more than one item in the same basket? Refine your questions: Focus on the most essential ones. Understand which questions are critical for your company goals and strategy, and which answers will help you evaluate the company's health. Define KPIs: Which metrics can effectively provide answers to those refined questions? Understand the KPIs that will give you these answers following the five W's principles: Who is the controller of the KPI? Who owns the data that will be used for the KPI, and who is responsible for ensuring its accuracy and stability? What action will it drive me to take? If I see a positive or negative change in the KPI. How well will it give me answers for the company’s health? What else am I missing? Where is the issue? Can I receive an answer about which company section the issue is? When do I need to see it? How frequently are these measurements needed? (For example, a weekly "time-on-site" KPI might be sufficient to gauge the effectiveness of UX changes, not requiring daily monitoring.) Who is the controller of the KPI? Who owns the data that will be used for the KPI, and who is responsible for ensuring its accuracy and stability? Who is the controller of the KPI? What action will it drive me to take? If I see a positive or negative change in the KPI. What action will it drive me to take? How well will it give me answers for the company’s health? What else am I missing? How well will it give me answers for the company’s health? Where is the issue? Can I receive an answer about which company section the issue is? Where is the issue? When do I need to see it? How frequently are these measurements needed? (For example, a weekly "time-on-site" KPI might be sufficient to gauge the effectiveness of UX changes, not requiring daily monitoring.) When do I need to see it? Building Scalable and Iterative Infrastructure Building Scalable and Iterative Infrastructure Now that you know what flavors you need, let's talk kitchen setup. Think fast, efficient deployment. Forget a one-size-fits-all approach. Start with a basic setup that can be easily enhanced. Treat it like a recipe collection, evolving with each new dish. Each iteration focuses on either enhancing the kitchen tools or optimizing costs. As a chef, you care if your kitchen equipment is top-of-the-line or basic, but you will know how to work with both. What matters is delivering a delicious, well-presented dish. Your team needs to think about how to maximize the buy/build approach for the first iteration because they will learn all the time about what enhances the flavors and what doesn't, and where the issues lie. The main purpose of picking kitchen tools should be to enhance the Secret Ingredients you selected and allow for further experimentation by the chefs. It needs to be something that will be easy to switch or optimize. But for me, the more important part of the setup is to launch something I can taste-test with the diners and learn how it complements the dish, whether they notice enhancements or not. So, don’t deploy and forget until it breaks. The data chefs need to go around and collect feedback, understand the flavor profiles of diners, and prioritize them in the recipe book. Building trust is essential. Inconsistent flavors in a dish quickly erode a diner's trust in the chef. Similarly, unreliable or inconsistent data undermine the credibility of your data-driven insights. Establish clear data governance guidelines – outlining data availability timelines, ownership, and issue resolution protocols – to ensure data quality and consistency. Imagine the wasted effort required to validate data if its reliability is questionable constantly! Building trust is essential. Embrace the Journey, Share the Feast Embrace the Journey, Share the Feast Data strategy is about crafting flavorful dishes for a successful restaurant. By focusing on clear recipes (KPIs), strong governance, and a scalable kitchen setup (infrastructure), you can create your culinary oasis – one that delights your diners (customers) and fuels your restaurant's (company's) growth. Ready to take a bite out of your data woes? Read my book, "Data is Like a Plate of Hummus” Ready to take a bite out of your data woes? Buy My Book On Amazon Buy My Book On Amazon Dive deeper into the five Ws of effective KPIs, explore data governance best practices, and guide you through building a scalable data infrastructure. Learn how to transform your data into a strategic advantage and unlock the full flavor of your company's success!

The Five W's for Setting KPIs

Setting Up a Python Dev Environment in 2024

Authors:
(1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento;
(2) Marco Robol, Department of Information Engineering and Computer Science University of Trento;
(3) Marco Roveri, Department of Information Engineering and Computer Science University of Trento;
(4) Paolo Giorgini, Department of Information Engineering and Computer Science University of Trento. 5 Selection algorithm and example of execution Based on the insights derived from our experimental results, we propose the selection algorithm represented in Algorithm 1. The algorithm is designed to select the appropriate search algorithm based on various priorities alongside the characterization of the environment used. The selection algorithm emphasizes the desired priority first, which could manifest in various aspects of pathfinding tasks, including the path cost, memory usage, or the time taken to find a solution. The rational reason for emphasizing ”Priority” at the beginning of the selection algorithm is that, based on this user choice, different search algorithms may be considered to suit best the addressed problem. Thus, by tackling the ”Priority” upfront, The selected algorithm will eventually, cater to the main requirements of the task at hand. The algorithm takes as input the Grid that is of size NxN with the start and goal positions, the distance threshold, and the priority criterion. If we aim to minimize memory usage, path cost, or both (Line 2), the algorithm suggests using D* Lite. However, If minimizing the solving time is our primary concern (line 4), we should first calculate the Euclidean distance between the start and the goal using the function in line 12. If the distance is higher or equal to the threshold (in our experiments it is equal to 140), the algorithms suggest using RTAA*. If the distance is less, then the selection algorithm suggests using ARA*. 5.1 Example of execution To showcase the efficiency of our selection algorithm, we have designed an execution example that consists of generating a grid with random parameters i.e., choose a random grid size, obstacle density, and start to goal distance. After that, we generate an identical grid, however, we change only one parameter each time while keeping the other parameters as they were in the initial grid. We do the same for generating personalized grid environments, where we generate a grid with a random choice of wall number, and then we change the wall lengths. We run RTAA*, ARA*, and D*Lite algorithms on the generated grids (all obtained results are shown in table 1) alongside our selection algorithm, so that we can compare the obtained results with what the selection algorithm is suggesting to use for the given grid. It is essential to highlight that the randomly chosen values for the grid parameters are all within the range of the values used in the experiments, which ensures that the thresholds chosen are relevant. Also, the reason behind using only RTAA*, ARA*, and D*Lite in this execution example is because of their standout performance in our experiments. For each grid, we run our selection algorithm each time with a different priority, and it suggests using an algorithm that will perform the best given the selected priority. The highlighted values in the table refer to the outcomes derived from the suggested search algorithm by our selection algorithm. These highlighted values are notably the best that we can obtain for each grid given a certain priority except for the red one; yellow represents the most efficient paths, green represents the best values that we can obtain if we want to reduce memory consumption, and the values highlighted in purple indicates the best solving time. However, our algorithm failed in selecting the right algorithm to use in the fourth grid when prioritizing the solving time, where the shortest solving time was found by RTAA*, instead our algorithm suggested using ARA*. This paper is available on arxiv under CC 4.0 license. Authors: (1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento; (2) Marco Robol, Department of Information Engineering and Computer Science University of Trento; (3) Marco Roveri, Department of Information Engineering and Computer Science University of Trento; (4) Paolo Giorgini, Department of Information Engineering and Computer Science University of Trento. Authors: (1) Aya Kherrour, Department of Information Engineering and Computer Science University of Trento; (2) Marco Robol, Department of Information Engineering and Computer Science University of Trento; (3) Marco Roveri, Department of Information Engineering and Computer Science University of Trento; (4) Paolo Giorgini, Department of Information Engineering and Computer Science University of Trento. 5 Selection algorithm and example of execution Based on the insights derived from our experimental results, we propose the selection algorithm represented in Algorithm 1. The algorithm is designed to select the appropriate search algorithm based on various priorities alongside the characterization of the environment used. The selection algorithm emphasizes the desired priority first, which could manifest in various aspects of pathfinding tasks, including the path cost, memory usage, or the time taken to find a solution. The rational reason for emphasizing ”Priority” at the beginning of the selection algorithm is that, based on this user choice, different search algorithms may be considered to suit best the addressed problem. Thus, by tackling the ”Priority” upfront, The selected algorithm will eventually, cater to the main requirements of the task at hand. The algorithm takes as input the Grid that is of size NxN with the start and goal positions, the distance threshold, and the priority criterion. If we aim to minimize memory usage, path cost, or both (Line 2), the algorithm suggests using D* Lite. However, If minimizing the solving time is our primary concern (line 4), we should first calculate the Euclidean distance between the start and the goal using the function in line 12. If the distance is higher or equal to the threshold (in our experiments it is equal to 140), the algorithms suggest using RTAA*. If the distance is less, then the selection algorithm suggests using ARA*. 5.1 Example of execution To showcase the efficiency of our selection algorithm, we have designed an execution example that consists of generating a grid with random parameters i.e., choose a random grid size, obstacle density, and start to goal distance. After that, we generate an identical grid, however, we change only one parameter each time while keeping the other parameters as they were in the initial grid. We do the same for generating personalized grid environments, where we generate a grid with a random choice of wall number, and then we change the wall lengths. We run RTAA*, ARA*, and D*Lite algorithms on the generated grids (all obtained results are shown in table 1) alongside our selection algorithm, so that we can compare the obtained results with what the selection algorithm is suggesting to use for the given grid. It is essential to highlight that the randomly chosen values for the grid parameters are all within the range of the values used in the experiments, which ensures that the thresholds chosen are relevant. Also, the reason behind using only RTAA*, ARA*, and D*Lite in this execution example is because of their standout performance in our experiments. For each grid, we run our selection algorithm each time with a different priority, and it suggests using an algorithm that will perform the best given the selected priority. The highlighted values in the table refer to the outcomes derived from the suggested search algorithm by our selection algorithm. These highlighted values are notably the best that we can obtain for each grid given a certain priority except for the red one; yellow represents the most efficient paths, green represents the best values that we can obtain if we want to reduce memory consumption, and the values highlighted in purple indicates the best solving time. However, our algorithm failed in selecting the right algorithm to use in the fourth grid when prioritizing the solving time, where the shortest solving time was found by RTAA*, instead our algorithm suggested using ARA*. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

A Comprehensive Examination of Algorithmic Behaviors in Diverse Grid Settings

This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
Authors:
(1) U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & ujchoi@kaist.ac.kr;
(2) Kyung Soo Rim, Department of mathematics, Sogang University & ksrim@sogang.ac.kr. Table of Links Introduction
Organization and notation
Problem Setting and Preliminaries
Generalized Wiener algebra and Fréchet derivative
Characterization of coefficients
Coefficients from an ergodic process
Conclusion & References 3. Problem Setting and Preliminaries. This section will set the mathematical model that is being addressed and provide basic background information relevant to understanding it. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & ujchoi@kaist.ac.kr; (2) Kyung Soo Rim, Department of mathematics, Sogang University & ksrim@sogang.ac.kr. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: Authors: (1) U Jin Choi, Department of mathematical science, Korea Advanced Institute of Science and Technology & ujchoi@kaist.ac.kr; (2) Kyung Soo Rim, Department of mathematics, Sogang University & ksrim@sogang.ac.kr. Table of Links Introduction Organization and notation Problem Setting and Preliminaries Generalized Wiener algebra and Fréchet derivative Characterization of coefficients Coefficients from an ergodic process Conclusion & References Introduction Introduction Organization and notation Organization and notation Problem Setting and Preliminaries Problem Setting and Preliminaries Generalized Wiener algebra and Fréchet derivative Generalized Wiener algebra and Fréchet derivative Characterization of coefficients Characterization of coefficients Coefficients from an ergodic process Coefficients from an ergodic process Conclusion & References Conclusion & References 3. Problem Setting and Preliminaries. This section will set the mathematical model that is being addressed and provide basic background information relevant to understanding it.

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