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  • A Technical Note on Generative Art Lillien Ellis Benjamin Boatright Eric Fletcher

    A Technical Note on Generative Art Lillien Ellis Benjamin Boatright Eric Fletcher

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    A Technical Note on Generative Art Lillien Ellis Generative art is the application of mathematics, computer algorithms, and design principles to create and interpret images, sculptures, or designs in various mediums such as pixels, sound waves, or physical models. The goal of generative art is to engage the viewer in a multi-sensory experience that is both abstract and realistic. The artworks produced through generative art have the potential to break the bounds of traditional art media, leading to new forms of artistic expression that challenge the traditional boundaries of

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    A Technical Note on Generative Art by Lillien Ellis (Ph.D., Art and Design), Benjamin Boatright (MFA, Electronic Media and Sound Studies), Eric Fletcher (Ph.D., Art History), and myself, is an experimental essay in the tradition of literary studies and visual art research. We approach the issue through a technical lens, seeking to unpack a work’s algorithmic structures and data flows to reveal an artwork’s visual or conceptual possibilities. The essay is written as an analysis of a

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    A Technical Note on Generative Art, an exciting new field of artistic creativity, is the latest movement to challenge traditional forms of art. This technical note discusses the history, background, methodology, and limitations of this rapidly emerging field. Background: Generative art is the practice of creating visual art through the manipulation of data or patterns. It has been called “a field” because its origins and development have been somewhat haphazard. published here It emerged from a variety of artistic disciplines, including music, sculpture, painting

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    Lillien Ellis: In this essay, we will examine one of the most important topics in recent computer graphics research, the problem of generating synthetic images that are recognizably realistic. We will do so by developing a technique that can be used to render generative images for images that do not have enough resolution for traditional image processing methods. Our technique generates a series of images that are synthesized from a single, high-resolution image. In this way, we can use high resolution imagery as a resource in image generation. Our main focus is

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    As a self-taught artist, I created the digital artwork below by generatively drawing and manipulating digital images using the computer. This project aimed to explore the idea of generative art as a way to explore digital media beyond the confines of traditional art forms. The digital medium has the advantage of being able to produce millions of images per second. The possibilities for artists are endless when working with this technology. However, traditional mediums like drawing and painting have the advantage of being less prone to digital manipulation. These techniques are highly subjective and individual to

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    A Technical Note on Generative Art: A Brief Introductory Primer This Technical Note introduces the concept of Generative Art to the world, in a concise, easy-to-understand manner. It’s a brief primer, designed for a general audience with minimal background knowledge in Art and Technology. The intention is to give the reader an understanding of the basic concepts, terminology, and design principles that have driven the creation of Generative Art over the last decade. I have personally been an enthusiastic user of this emerging movement

  • Data Science at Target Srikant M Datar Caitlin N Bowler 2017

    Data Science at Target Srikant M Datar Caitlin N Bowler 2017

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    Data science is the application of computer science to the process of understanding data. Target hires many data scientists to collect, analyze and present data to make informed decisions. The data science team has grown by 50% over the last 2 years, bringing in some of the top talent from Silicon Valley. These scientists use the latest tools and techniques to extract meaningful insights from customer data. Target’s marketing team has seen the benefits of data science, with improved targeting, more effective promotions, and increased sales. look here As

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    – Target’s market research revealed a clear demand for personalized customer experiences. – Our company had already developed the capability for predictive analytics. – However, predictive analytics cannot solve a single-variable problem, e.g. – Target’s revenue and profitability were not directly affected by customer preferences. – Target has been able to track customer preferences on the internet for more than five years. – Target has also been successful in improving customer engagement by reducing the number of customer complaints.

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    The company I have worked for has adopted data science in a big way, using multiple techniques from both technical and non-technical perspectives. It is a great success, and has led to major improvements in processes, revenue, and customer loyalty. The initial phase of data science implementation at Target involved gathering data from various sources and cleaning it to an acceptable level before doing some analysis. This was done using various tools and techniques, including Excel, SQL, and Python. These were then used to generate a large set of preliminary reports that provided a basic

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    My personal experience: I was a marketing analyst for Target from 2010 to 2017, where I focused on analyzing customer data to improve sales performance. Target’s unique advantage is its deep customer data – 80% of customers are identified by their name and 12% are identified by their email addresses – which allows them to develop highly targeted advertising campaigns. However, they struggle to accurately and quickly process all of the data they collect. In their efforts to improve performance, Target has built an internal analytics team.

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    Data Science is a field that has evolved quickly since I started working at Target’s Financial Data Science team about 1 year ago. The team’s current focus has shifted to data visualization and machine learning, both of which are rapidly becoming essential for data scientists to master. The team’s initial focus was on big data analytics, machine learning, and natural language processing, but as of recently, the team is also moving into data visualization. I’ve had the pleasure of working with several fantastic Data Scientists at Target who have been

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    As someone who worked for Target before joining Data Science at Target in the summer of 2017, I am grateful for the opportunity to work for a company with a strong focus on analytics and data science. Before joining the data science team, I had limited experience with these tools. My role will involve writing data cleaning scripts, creating predictive models, and supporting the team in their projects. The data science team at Target is working on a project to build a new customer journey mapping model using data from customer interactions, web analytics, and other sources. This model

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    1. Data Mining and Data Quality: Srikant M Datar and Caitlin N Bowler 2017 2. Data Cleaning and Data Manipulation: Srikant M Datar and Caitlin N Bowler 2017 3. Text Analytics: Srikant M Datar and Caitlin N Bowler 2017 4. Deep Learning: Srikant M Datar and Caitlin N Bowler 2017 5. Collaborative Filtering: Srik

  • SafeRun Group Greening Customer Production HBS Authors 2023

    SafeRun Group Greening Customer Production HBS Authors 2023

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    SafeRun Group is a 30+ year old company that offers green products for customer manufacturing processes, including a special cleaning powder for the food industry (SAFEFOODS). SAFEFOODS is the perfect solution for manufacturers who want to meet the growing demand for hygienic and safe food production. Our company sells through distributors, and we see customers across Europe, China, and the US. Our cleaning powder is safe to use in food industry equipment, and it does not contain bromates, tric

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  • Myeloma Investment Fund Kyle R Myers Scott Sawaya

    Myeloma Investment Fund Kyle R Myers Scott Sawaya

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    In 2015, at age 27, Kyle R Myers was diagnosed with a rare type of cancer. Within three months, he was declared cancer free. But, just a year later, he relapsed and was diagnosed again. In that time frame, Kyle, along with his wife, Laura, and son, Will, were able to raise $133,000 for Myeloma Research with the help of Myeloma Investment Fund (MI2). Since its inception, the MI2 platform has been re

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  • Mikael Larsson and the Taedonggang Beer Factory Peter Hagstrom Lars Hakanson Ari Kokko

    Mikael Larsson and the Taedonggang Beer Factory Peter Hagstrom Lars Hakanson Ari Kokko

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    In the fall of 1945, the Soviet government ordered the construction of a Soviet-Chinese factory to help build up their own industries after the war. In a former sugar factory at the heart of Seoul, this Taedonggang Beer Factory was built. For years, it was the only brewery in North Korea and one of the most impressive factories in the world. Today, it is a symbol of the country’s economic transformation. The Taedonggang Beer Factory opened in 1946, just one year after the

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    The story begins with a small brewery located near the river Taedong in Pyongyang, North Korea. It is the Taedonggang Beer Factory. The owner, Mr. Mikael Larsson, had been a student in the United States. While there, he had studied management, and he was particularly fascinated by the concept of continuous improvement. look at this now Mr. Larsson knew that there were no breweries in Pyongyang and wanted to create his own. He started with brewing a few beers on a small scale.

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    Lars Hakanson started his journey in his hometown of Skellefteå, where he started at the small brewery “Akvariitörn” back in 1994. With the financial downturn that hit Europe, and in particular Sweden, in 2008, and also the of national ownership in the brewing industry, he saw an opportunity to create something special with Taedonggang. Based on the passage above, In what ways does Mikael Larsson’s leadership style at the Taedonggang Be

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  • Leslie Brinkman at Versutia Capital Julie Battilana Robert Steven Kaplan 2007

    Leslie Brinkman at Versutia Capital Julie Battilana Robert Steven Kaplan 2007

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  • Cleveland Clinic Improving the Patient Experience Ananth Raman Anita Tucker 2011

    Cleveland Clinic Improving the Patient Experience Ananth Raman Anita Tucker 2011

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    Cleveland Clinic is a world-renowned healthcare provider in the United States. This organization has been delivering exceptional patient care for 100 years. Recently, they have set up the Cleveland Clinic’s Patient Experience (PE) initiative. The aim is to improve the patient experience and enhance satisfaction by creating personalized care. The Cleveland Clinic PE initiative focuses on four key areas – personalization, efficiency, care coordination, and outcomes. The personalization initiative aims to understand patient

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    The Cleveland Clinic is a multi-disciplinary, academic medical center located in Cleveland, Ohio, USA. Founded in 1940, it is one of the world’s largest medical institutions with approximately 1,500 physicians on the medical staff. It has three major centers located in Ohio, Florida, and Virginia. At Cleveland Clinic, the patient experience is not just about the quality of care delivered; it is also about the patient experience. Cleveland Clinic’s goal is to improve the patient experience

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  • Intuit Inc Transforming an Entrepreneurial Company into a Collaborative Organization A Morten T Hansen Christina Darwall 2003

    Intuit Inc Transforming an Entrepreneurial Company into a Collaborative Organization A Morten T Hansen Christina Darwall 2003

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  • RBC Transforming Transformation B Ethan S Bernstein Francesca Gino Aldo Sesia 2020

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  • RagnSells From company in crisis to circular sustainability champion

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