This document provides tips for creating effective PowerPoint presentations. It begins by discussing how the author used to create overly wordy slides with lots of text and clip art but has since learned to simplify. It then provides guidelines such as using fewer words, larger font sizes, images, and simplicity in design. Specific tips are given for techniques like using transparency effects and animation. The goal is to provide salient information visually in a way that enhances understanding and makes the content stickier for the audience.
VoIP has progressed through five waves since 1995 and is still evolving rapidly. The first wave involved PC-to-PC services, while the second saw the rise of PC-to-PSTN services like Skype. The third wave brought over-the-top VoIP providers like Vonage. Managed VoIP dominated the fourth wave as telcos migrated phone lines to cable. Now in the fifth wave, convergence is combining voice, web, and video capabilities. However, the presentation argues that VoIP has only just begun and will continue transforming networks and services.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
This document discusses challenges with virtual networks and complexity in data centers. It proposes building data center networks like the Internet, with each server acting as an autonomous system running BGP. By removing layers of complexity, this approach could achieve hyperscale efficiency. Currently, commercial and open source software-defined networks have not solved the problem. Building on basic IP networking principles with each host routing for itself could break free of these issues.
This was presented at the "Microservices for Enterprises" meetup, March 31, 2016 in Palo Alto, California.
We review the experience of deploying Project Calico in enterprise container environments, and compare/contrast with traditional virtual networking approaches.
Container Networking: the Gotchas (Mesos London Meetup 11 May 2016)Andrew Randall
Presentation for the London Mesos Users Meetup, 11 May 2016.
An overview of the current state of the art in container networking, with lessons learned over the last 12 months or so deploying Project Calico in the real world.
All slides & bookmarks/tabs used in presentation "The Snowflake Effect; the future of mashups & learning" at ASTD TechKnowledge 2010 conference in Las Vegas, NV USA on Jan.27, 2010
VoIP has progressed through five waves since 1995 and is still evolving rapidly. The first wave involved PC-to-PC services, while the second saw the rise of PC-to-PSTN services like Skype. The third wave brought over-the-top VoIP providers like Vonage. Managed VoIP dominated the fourth wave as telcos migrated phone lines to cable. Now in the fifth wave, convergence is combining voice, web, and video capabilities. However, the presentation argues that VoIP has only just begun and will continue transforming networks and services.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
This document discusses challenges with virtual networks and complexity in data centers. It proposes building data center networks like the Internet, with each server acting as an autonomous system running BGP. By removing layers of complexity, this approach could achieve hyperscale efficiency. Currently, commercial and open source software-defined networks have not solved the problem. Building on basic IP networking principles with each host routing for itself could break free of these issues.
This was presented at the "Microservices for Enterprises" meetup, March 31, 2016 in Palo Alto, California.
We review the experience of deploying Project Calico in enterprise container environments, and compare/contrast with traditional virtual networking approaches.
Container Networking: the Gotchas (Mesos London Meetup 11 May 2016)Andrew Randall
Presentation for the London Mesos Users Meetup, 11 May 2016.
An overview of the current state of the art in container networking, with lessons learned over the last 12 months or so deploying Project Calico in the real world.
All slides & bookmarks/tabs used in presentation "The Snowflake Effect; the future of mashups & learning" at ASTD TechKnowledge 2010 conference in Las Vegas, NV USA on Jan.27, 2010
Introduction to the Artificial Intelligence and Computer Vision revolutionDarian Frajberg
Deep learning and computer vision have revolutionized artificial intelligence. Deep learning uses artificial neural networks inspired by the human brain to learn from large amounts of data without being explicitly programmed. Computer vision gives computers the ability to understand digital images and videos. Key breakthroughs include AlexNet achieving unprecedented accuracy on ImageNet in 2012, demonstrating the power of deep convolutional neural networks for computer vision tasks. Challenges remain around ensuring AI systems are beneficial to society, avoiding data biases, and increasing transparency.
The document discusses various approaches to data analytics and common pitfalls. It provides examples of recommendation systems at Netflix and Pandora that achieved success by focusing on the business goals rather than just the technology. It also warns against complexifying systems and architectures unnecessarily over time and refusing to remove outdated components. Overall it advocates embracing complexity but also avoiding duct tape solutions, and designing systems with the intended use and business goals in mind rather than getting attached to specific technologies.
The document discusses the history of human-computer interaction (HCI) through a series of paradigm shifts, from early concepts in the 1940s-1950s to modern developments. Key events and figures included Vannevar Bush's 1945 proposal of the Memex device, J.C.R. Licklider's 1960 vision of human-computer symbiosis, Ivan Sutherland's 1963 Sketchpad system, Douglas Engelbart's landmark 1968 demo incorporating elements like the mouse and windows, and Alan Kay's idea of the Dynabook personal computer. Major shifts have involved moving from mainframes to personal computers using graphical user interfaces like Windows, Icons, Menus, and Pointers (WIMP). Direct
The document discusses putting "magic" into data science. It provides several tricks or techniques for data science, including collecting novel data sources, dimensionality reduction, Bayesian methods, bootstrapping statistics, and matrix factorizations. It also emphasizes the importance of reliability, latency/interactivity, simplicity/modularity, and unexpectedness to solve the "last mile" problem of getting people to actually use data science tools and models. Specific Facebook tools like Planout, Deltoid, ClustR, Prophet, and Hive/Presto/Scuba are presented as examples.
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...MaRS Discovery District
Deep learning is changing the field of artificial intelligence and revolutionizing our online experience, with applications including speech and image recognition. Information and communications technology giants such as Google, Facebook, IBM and Baidu, among others, are rapidly deploying deep learning into new products and services.
Behind all of the present-day excitement about deep learning are years of high risk and hard work by a small group of eminent computer scientists and theorists connected through the Canadian Institute for Advanced Research (CIFAR).
My Futuristic Vision of the Future of Cassandra's Future - NGCC 2015gdusbabek
These are the changes that would enable others to use Cassandra as a platform for building new distributed systems. Oh, and did I mention these changes would also make Cassandra more stable, testable and allow us to deliver features sooner?
YESSSSS. All that and more.
Diversity Project KickoffYour Name Capella Universit.docxpauline234567
Diversity Project Kickoff
Your Name
Capella University
BUS3012_U05A1
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
image1.jpeg
I want you to identify the paper that was the best one of the semester, and the paper that was the worst one of all these papers below. You should name each of them, and provide just a couple of sentences describing why you choose them. Then use the scholarly search tools we listed early in the semester to find current papers (2020 onward) on the same two general topics. For example, if one of your choices is the paper that focused on Multics virtual memory, you probably wouldn't find much that is current and specifically references Multics, but you could certainly find papers on some aspect of virtual memory. So again, find a current paper on each of those two topics. Then write the usual summary and reaction for each of them with the headings. (Note: don't forget which papers you chose for best and worst.)
Paper 1: Read this paper: Peter Chen, Edward Lee, Garth Gibson, Randy Katz, and David Patterson, "RAID: High-Performance, Reliable Secondary Storage", ACM Computing Surveys, volume 26, number 2, June 1994.
Paper 2: Mendel Rosenblum and John Ousterhout, "The Design and Implementation of a Log Structured File System", Proceedings of the Symposium on Operating Systems Principles, 1991.
Paper 3: John Howard, Michael Kazarm Sherri Menees, David Nichols, M. Satyanarayanan, Robert Sidebotham, and Michael West, "Scale and Performance in a Distributed File System", ACM Transactions on Computer Systems, Volume 6, Number 1, February 1988.
Paper 4: The paper is A. Bensoussan and R. Daley, "The Multics Virtual Memory: Concepts and Design", Proceedings of the Symposium on Operating Systems Principles, 1969."
Paper 5: Peter Denning, "The Working Set Model for Program Behavior", Communications of the ACM, 1968.
Paper 6: Richard Carr and John Hennessy, "WSClock -- A Simple and Effective Algorithm for Virtual Memory Management", Proceedings of the Symposium on Operating Systems Principles, 1981.
Paper 7: Judy Kay and Piers Lauder, A fair share scheduler, Communications of the ACM 31.1, 1988
Paper 8: Carl Waldspurger and Weihl William, Lottery scheduling: Flexible proportional-share resource management, In Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation, 1994
Paper 9: Dabek, Frank, et al. "Event-driven programming for robust software." Proceedings of the 10th workshop on ACM SIGOPS European workshop. 2002.
Paper 10: Rob von Behren, Jeremy Condit, and Eric Brewer, Why Events Are A Bad Idea (for high-concurrency servers), Workshop on Hot Topics in Operating Systems, 2003.
Scenario
Imagine that Lynette follows up with you in an e-mail shortly after reading your views on leadership and collaboration.E-mail from.
This document discusses different file formats for storing large datasets in a data lake. It begins by outlining some goals for data lake storage formats, including good usability, being resource efficient, and enabling fast queries. Comma-separated value (CSV) files are described as a simple universal format but one that is very large and inefficient for queries. The document then discusses ways to improve the performance of CSVs through partitioning files into multiple parts and compressing the data. Better formats like JSON, Apache Avro, Optimized Row Columnar (ORC), and Apache Parquet are also covered. Parquet is described as the best option, being a columnar format that supports compression and enables fast queries through its organization of data.
LASTconf 2018 - System Mapping: Discover, Communicate and Explore the Real Co...Colin Panisset
System mapping is a technique to visualize and communicate the complexity of systems. It can be used to map dependencies, workflows, and other relationships. The process involves talking to people to understand the system, capturing information, getting feedback, and iterating. Graphviz is one open source tool that can be used to generate visual maps from code. System mapping helps build shared understanding, discover issues, and extract implicit knowledge about the system. It works best when curated over time and can reveal unexpected connections and risks.
This document provides an overview of using deep learning techniques for recommender systems. It begins with establishing the need for recommender systems due to increasing information overload. It then gives a basic introduction and agenda for the talk, covering motivation, basics, deep learning for vehicle recommendations, and scalability/production. The talk discusses using deep learning approaches like wide and deep learning as well as sequential models to improve recommendation relevance for applications like vehicle recommendations. It provides details on preprocessing, training a classifier, candidate generation and ranking for recommendations. The document concludes with discussing deploying such a system at scale and current trends in recommender system research.
Recommender systems support the decision making processes of customers with personalized suggestions. These widely used systems influence the daily life of almost everyone across domains like ecommerce, social media, and entertainment. However, the efficient generation of relevant recommendations in large-scale systems is a very complex task. In order to provide personalization, engines and algorithms need to capture users’ varying tastes and find mostly nonlinear dependencies between them and a multitude of items. Enormous data sparsity and ambitious real-time requirements further complicate this challenge. At the same time, deep learning has been proven to solve complex tasks like object or speech recognition where traditional machine learning failed or showed mediocre performance.
Join Marcel Kurovski to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking.
The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP@5. It also scales well for millions of items and users returning recommendations in tens of milliseconds.
Event: O'Reilly Artificial Intelligence Conference, New York, 18.04.2019
Speaker: Marcel Kurovski, inovex GmbH
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
This document discusses the importance of focusing documentation on the end user. It emphasizes determining the user's goals, work environment, and information needs to provide the right information at the right time. It also stresses using videos and positioning information at the user's workstation. Finally, it encourages taking a user-centered approach to design and testing documentation to ensure usability.
The document provides guidance on effective PowerPoint presentation design based on scientific research. It recommends using simple slide designs that focus on one main point per slide, clearly stating the point in a headline rather than heading, and illustrating the point with images or diagrams. These techniques help audiences engage with the information by reducing cognitive overload and using both visual and auditory brain channels. When these guidelines are followed, presentations become easier for audiences to understand, allowing them to get the message faster and make better decisions.
Voxxed Athens 2018 - UX design and back-ends: When the back-end meets the userVoxxed Athens
The document discusses struggles with data when users and user interfaces are involved. It notes that development teams often allow the physical data model to dictate what the user interface can do, rather than engaging with users and UX designers from the start. It proposes that data modeling should be done together with UX designers based on user journeys, which would lead to data models that better support user interfaces and mental models.
Fascinating Tales of a Strange TomorrowJulien SIMON
John McCarthy coined the term "artificial intelligence" in 1956. Starting in the 1950s and 1960s, several experts in the field made optimistic predictions about machines achieving human-level intelligence within just a few years, but these predictions did not come true as data and computing power were limited. Neural networks were proposed in the late 1950s but struggled until recently due to insufficient data and hardware. Breakthroughs in deep learning using large datasets and GPUs have led to impressive results in areas like image recognition. AWS offers services and resources to help customers develop and apply deep learning techniques to solve real-world problems.
In 1971, David Parnas wrote the great paper, "On the criteria to be used decomposing the system into parts," and yet the problem of breaking down big projects into small parts that work well together remains a struggle in the industry. The ability to decompose a problem space and in turn, compose a solution is essential to our work.
Things have gotten worse since 1971. With microservices, big data, and streaming systems, we're all going to be distributed systems engineers sooner or later. In distributed systems, effective decomposition has an even greater impact on the reliability, performance, and availability of our systems as it determines the frequency and weight of communication in the system.
This talk speaks to the essential considerations for defining and evaluating boundaries and behaviors in large-scale distributed systems. It will touch on topics such as bulkhead design and architectural evolution.
How to Prepare and Give and Academic PresentationMichele Weigle
The document provides tips for preparing and delivering an academic presentation. It begins by discussing what a PhD program entails and emphasizing the importance of communication skills. It then outlines how to structure a presentation like telling a story, including setting the scene, presenting the problem, highlighting the approach, showing results, and concluding with a summary. The document concludes by offering concrete tips, such as considering the audience, using visuals effectively, and helping the audience, as well as things to avoid such as walls of text. It emphasizes speaking clearly, facing the audience, practicing, and planning beginnings and endings.
This document discusses design thinking and human-centered design approaches for improving processes at Tufts University. It outlines tools like contextual inquiry, interviews, and design charrettes that can be used to understand user needs and identify opportunities. Prototyping and testing ideas iteratively is emphasized. The goals are to make processes easier for both internal "customers" like staff and faculty, as well as support staff. Enterprise architecture is discussed as a way to integrate systems and share data and business rules consistently across the university. Search, user stories, and an agile development process will also be important. The work will be an ongoing, iterative process of selecting processes to redesign, implementing digital solutions, and releasing improvements quarterly.
This document discusses design thinking and human-centered design approaches for improving processes at Tufts University. It outlines tools like contextual inquiry, interviews, and design charrettes that can be used to understand user needs and identify opportunities. Prototyping and testing ideas iteratively is emphasized. The goals of developing a scalable integration architecture and improving search to give users more control are presented. An agile development process using user stories, sprints, and releases on a quarterly basis is proposed to build out the solution components over time.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
Introduction to the Artificial Intelligence and Computer Vision revolutionDarian Frajberg
Deep learning and computer vision have revolutionized artificial intelligence. Deep learning uses artificial neural networks inspired by the human brain to learn from large amounts of data without being explicitly programmed. Computer vision gives computers the ability to understand digital images and videos. Key breakthroughs include AlexNet achieving unprecedented accuracy on ImageNet in 2012, demonstrating the power of deep convolutional neural networks for computer vision tasks. Challenges remain around ensuring AI systems are beneficial to society, avoiding data biases, and increasing transparency.
The document discusses various approaches to data analytics and common pitfalls. It provides examples of recommendation systems at Netflix and Pandora that achieved success by focusing on the business goals rather than just the technology. It also warns against complexifying systems and architectures unnecessarily over time and refusing to remove outdated components. Overall it advocates embracing complexity but also avoiding duct tape solutions, and designing systems with the intended use and business goals in mind rather than getting attached to specific technologies.
The document discusses the history of human-computer interaction (HCI) through a series of paradigm shifts, from early concepts in the 1940s-1950s to modern developments. Key events and figures included Vannevar Bush's 1945 proposal of the Memex device, J.C.R. Licklider's 1960 vision of human-computer symbiosis, Ivan Sutherland's 1963 Sketchpad system, Douglas Engelbart's landmark 1968 demo incorporating elements like the mouse and windows, and Alan Kay's idea of the Dynabook personal computer. Major shifts have involved moving from mainframes to personal computers using graphical user interfaces like Windows, Icons, Menus, and Pointers (WIMP). Direct
The document discusses putting "magic" into data science. It provides several tricks or techniques for data science, including collecting novel data sources, dimensionality reduction, Bayesian methods, bootstrapping statistics, and matrix factorizations. It also emphasizes the importance of reliability, latency/interactivity, simplicity/modularity, and unexpectedness to solve the "last mile" problem of getting people to actually use data science tools and models. Specific Facebook tools like Planout, Deltoid, ClustR, Prophet, and Hive/Presto/Scuba are presented as examples.
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...MaRS Discovery District
Deep learning is changing the field of artificial intelligence and revolutionizing our online experience, with applications including speech and image recognition. Information and communications technology giants such as Google, Facebook, IBM and Baidu, among others, are rapidly deploying deep learning into new products and services.
Behind all of the present-day excitement about deep learning are years of high risk and hard work by a small group of eminent computer scientists and theorists connected through the Canadian Institute for Advanced Research (CIFAR).
My Futuristic Vision of the Future of Cassandra's Future - NGCC 2015gdusbabek
These are the changes that would enable others to use Cassandra as a platform for building new distributed systems. Oh, and did I mention these changes would also make Cassandra more stable, testable and allow us to deliver features sooner?
YESSSSS. All that and more.
Diversity Project KickoffYour Name Capella Universit.docxpauline234567
Diversity Project Kickoff
Your Name
Capella University
BUS3012_U05A1
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
Slide Title
image1.jpeg
I want you to identify the paper that was the best one of the semester, and the paper that was the worst one of all these papers below. You should name each of them, and provide just a couple of sentences describing why you choose them. Then use the scholarly search tools we listed early in the semester to find current papers (2020 onward) on the same two general topics. For example, if one of your choices is the paper that focused on Multics virtual memory, you probably wouldn't find much that is current and specifically references Multics, but you could certainly find papers on some aspect of virtual memory. So again, find a current paper on each of those two topics. Then write the usual summary and reaction for each of them with the headings. (Note: don't forget which papers you chose for best and worst.)
Paper 1: Read this paper: Peter Chen, Edward Lee, Garth Gibson, Randy Katz, and David Patterson, "RAID: High-Performance, Reliable Secondary Storage", ACM Computing Surveys, volume 26, number 2, June 1994.
Paper 2: Mendel Rosenblum and John Ousterhout, "The Design and Implementation of a Log Structured File System", Proceedings of the Symposium on Operating Systems Principles, 1991.
Paper 3: John Howard, Michael Kazarm Sherri Menees, David Nichols, M. Satyanarayanan, Robert Sidebotham, and Michael West, "Scale and Performance in a Distributed File System", ACM Transactions on Computer Systems, Volume 6, Number 1, February 1988.
Paper 4: The paper is A. Bensoussan and R. Daley, "The Multics Virtual Memory: Concepts and Design", Proceedings of the Symposium on Operating Systems Principles, 1969."
Paper 5: Peter Denning, "The Working Set Model for Program Behavior", Communications of the ACM, 1968.
Paper 6: Richard Carr and John Hennessy, "WSClock -- A Simple and Effective Algorithm for Virtual Memory Management", Proceedings of the Symposium on Operating Systems Principles, 1981.
Paper 7: Judy Kay and Piers Lauder, A fair share scheduler, Communications of the ACM 31.1, 1988
Paper 8: Carl Waldspurger and Weihl William, Lottery scheduling: Flexible proportional-share resource management, In Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation, 1994
Paper 9: Dabek, Frank, et al. "Event-driven programming for robust software." Proceedings of the 10th workshop on ACM SIGOPS European workshop. 2002.
Paper 10: Rob von Behren, Jeremy Condit, and Eric Brewer, Why Events Are A Bad Idea (for high-concurrency servers), Workshop on Hot Topics in Operating Systems, 2003.
Scenario
Imagine that Lynette follows up with you in an e-mail shortly after reading your views on leadership and collaboration.E-mail from.
This document discusses different file formats for storing large datasets in a data lake. It begins by outlining some goals for data lake storage formats, including good usability, being resource efficient, and enabling fast queries. Comma-separated value (CSV) files are described as a simple universal format but one that is very large and inefficient for queries. The document then discusses ways to improve the performance of CSVs through partitioning files into multiple parts and compressing the data. Better formats like JSON, Apache Avro, Optimized Row Columnar (ORC), and Apache Parquet are also covered. Parquet is described as the best option, being a columnar format that supports compression and enables fast queries through its organization of data.
LASTconf 2018 - System Mapping: Discover, Communicate and Explore the Real Co...Colin Panisset
System mapping is a technique to visualize and communicate the complexity of systems. It can be used to map dependencies, workflows, and other relationships. The process involves talking to people to understand the system, capturing information, getting feedback, and iterating. Graphviz is one open source tool that can be used to generate visual maps from code. System mapping helps build shared understanding, discover issues, and extract implicit knowledge about the system. It works best when curated over time and can reveal unexpected connections and risks.
This document provides an overview of using deep learning techniques for recommender systems. It begins with establishing the need for recommender systems due to increasing information overload. It then gives a basic introduction and agenda for the talk, covering motivation, basics, deep learning for vehicle recommendations, and scalability/production. The talk discusses using deep learning approaches like wide and deep learning as well as sequential models to improve recommendation relevance for applications like vehicle recommendations. It provides details on preprocessing, training a classifier, candidate generation and ranking for recommendations. The document concludes with discussing deploying such a system at scale and current trends in recommender system research.
Recommender systems support the decision making processes of customers with personalized suggestions. These widely used systems influence the daily life of almost everyone across domains like ecommerce, social media, and entertainment. However, the efficient generation of relevant recommendations in large-scale systems is a very complex task. In order to provide personalization, engines and algorithms need to capture users’ varying tastes and find mostly nonlinear dependencies between them and a multitude of items. Enormous data sparsity and ambitious real-time requirements further complicate this challenge. At the same time, deep learning has been proven to solve complex tasks like object or speech recognition where traditional machine learning failed or showed mediocre performance.
Join Marcel Kurovski to explore a use case for vehicle recommendations at mobile.de, Germany’s biggest online vehicle market. Marcel shares a novel regularization technique for the optimization criterion and evaluates it against various baselines. To achieve high scalability, he combines this method with strategies for efficient candidate generation based on user and item embeddings—providing a holistic solution for candidate generation and ranking.
The proposed approach outperforms collaborative filtering and hybrid collaborative-content-based filtering by 73% and 143% for MAP@5. It also scales well for millions of items and users returning recommendations in tens of milliseconds.
Event: O'Reilly Artificial Intelligence Conference, New York, 18.04.2019
Speaker: Marcel Kurovski, inovex GmbH
Mehr Tech-Vorträge: inovex.de/vortraege
Mehr Tech-Artikel: inovex.de/blog
This document discusses the importance of focusing documentation on the end user. It emphasizes determining the user's goals, work environment, and information needs to provide the right information at the right time. It also stresses using videos and positioning information at the user's workstation. Finally, it encourages taking a user-centered approach to design and testing documentation to ensure usability.
The document provides guidance on effective PowerPoint presentation design based on scientific research. It recommends using simple slide designs that focus on one main point per slide, clearly stating the point in a headline rather than heading, and illustrating the point with images or diagrams. These techniques help audiences engage with the information by reducing cognitive overload and using both visual and auditory brain channels. When these guidelines are followed, presentations become easier for audiences to understand, allowing them to get the message faster and make better decisions.
Voxxed Athens 2018 - UX design and back-ends: When the back-end meets the userVoxxed Athens
The document discusses struggles with data when users and user interfaces are involved. It notes that development teams often allow the physical data model to dictate what the user interface can do, rather than engaging with users and UX designers from the start. It proposes that data modeling should be done together with UX designers based on user journeys, which would lead to data models that better support user interfaces and mental models.
Fascinating Tales of a Strange TomorrowJulien SIMON
John McCarthy coined the term "artificial intelligence" in 1956. Starting in the 1950s and 1960s, several experts in the field made optimistic predictions about machines achieving human-level intelligence within just a few years, but these predictions did not come true as data and computing power were limited. Neural networks were proposed in the late 1950s but struggled until recently due to insufficient data and hardware. Breakthroughs in deep learning using large datasets and GPUs have led to impressive results in areas like image recognition. AWS offers services and resources to help customers develop and apply deep learning techniques to solve real-world problems.
In 1971, David Parnas wrote the great paper, "On the criteria to be used decomposing the system into parts," and yet the problem of breaking down big projects into small parts that work well together remains a struggle in the industry. The ability to decompose a problem space and in turn, compose a solution is essential to our work.
Things have gotten worse since 1971. With microservices, big data, and streaming systems, we're all going to be distributed systems engineers sooner or later. In distributed systems, effective decomposition has an even greater impact on the reliability, performance, and availability of our systems as it determines the frequency and weight of communication in the system.
This talk speaks to the essential considerations for defining and evaluating boundaries and behaviors in large-scale distributed systems. It will touch on topics such as bulkhead design and architectural evolution.
How to Prepare and Give and Academic PresentationMichele Weigle
The document provides tips for preparing and delivering an academic presentation. It begins by discussing what a PhD program entails and emphasizing the importance of communication skills. It then outlines how to structure a presentation like telling a story, including setting the scene, presenting the problem, highlighting the approach, showing results, and concluding with a summary. The document concludes by offering concrete tips, such as considering the audience, using visuals effectively, and helping the audience, as well as things to avoid such as walls of text. It emphasizes speaking clearly, facing the audience, practicing, and planning beginnings and endings.
This document discusses design thinking and human-centered design approaches for improving processes at Tufts University. It outlines tools like contextual inquiry, interviews, and design charrettes that can be used to understand user needs and identify opportunities. Prototyping and testing ideas iteratively is emphasized. The goals are to make processes easier for both internal "customers" like staff and faculty, as well as support staff. Enterprise architecture is discussed as a way to integrate systems and share data and business rules consistently across the university. Search, user stories, and an agile development process will also be important. The work will be an ongoing, iterative process of selecting processes to redesign, implementing digital solutions, and releasing improvements quarterly.
This document discusses design thinking and human-centered design approaches for improving processes at Tufts University. It outlines tools like contextual inquiry, interviews, and design charrettes that can be used to understand user needs and identify opportunities. Prototyping and testing ideas iteratively is emphasized. The goals of developing a scalable integration architecture and improving search to give users more control are presented. An agile development process using user stories, sprints, and releases on a quarterly basis is proposed to build out the solution components over time.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Mastering the Concepts Tested in the Databricks Certified Data Engineer Assoc...SkillCertProExams
• For a full set of 760+ questions. Go to
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XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
2. Confession: I Was a PowerPoint Junkie
§ My PowerPoints used to be full of
§ Text
§ 14 point font, to squeeze in as much
information as possible onto each slide.
§ I would frequently use full sentences so I
wouldn’t forget what I wanted to say.
§ Detailed diagrams
§ Cheesy clip-art
§ Cool animations
§ I was not alone: they were just like
those of
§ My colleagues
§ Almost everyone else in the entire world
§ Then I saw a presentation by Steve Jobs and
started to read a bit more about the theory
behind good (and bad) presentations
§ Apparently, this might not be the only
way to do things
“PowerPoint has allowed
an endless expanse of
dimwit ideas to be
dressed up with
graphical respectability”
– Wall Street Journal,
6/20/07
3. “PowerPoint is like an outdoor light that
attracts moths, and then destroys them…”
– Paul LeRoux & Peg Corwin, Visual Selling
4.
5. PowerPoint: Killer App?T U E S D A Y , A U G U S T 3 0 , 2 0 0 5
By Ruth Marcus
Did PowerPoint make the space
shuttle crash? Could it doom
another mission? Preposterous as
this may sound, the ubiquitous
Microsoft "presentation software"
has twice been singled out for
special criticism by task forces
reviewing the space shuttle
disaster.
Perhaps I've sat through too many
PowerPoint presentations lately,
but I think the trouble with these
critics is that they don't go far
enough: The software may be as
much of a mind-numbing menace
to those of us who intend to remain
earthbound as it is to astronauts.
A17
6. “The Columbia Accident Investigation Board found
that the distinctive cognitive style of PowerPoint
reinforced the hierarchical filtering and biases of
the NASA bureaucracy”
24. Track Record of Successful Transitions
§ 680x0 to PowerPC (1994 – 1996)
§ Radical new RISC architecture
§ Team did a great job (even though I wasn’t here!)
§ Successfully migrated entire product line in less than 3 years
§ Mac OS 9 to Max OS X (2001 – 2003)
§ “Brain transplant”
§ Classic mode emulation for back-compatibility enabled smooth transition
§ Combined Mac simplicity with rock-solid UNIX operating system – the most
advanced operating system on the planet
§ World’s most successful new operating system introduction – 10 million
users by 2004
§ Now we’re migrating to Intel processor architecture
§ Great performance and power consumption
§ Will enable us to deliver more insanely great products
§ Set for success – proven we can do this before
§ In fact, we’ve been running OS X on Intel internally for some time!
27. Guy Kawasaki’s Font Size Rule
Minimum
font size
Age of oldest
audience member
½
=
×
28. Carefully Chosen Words and Images
Promote Understanding
Substance
Structure
Style
Specifics
29.
30. Readers:
230 – 800
words per minute
• This is my first text bullet
and it’s very interesting
• It’s even got a sub-bullet
• This is my second bullet
and it adds a new thought
• This is the last bullet on this
slide (phew, I kept it short!)
• This is my first text bullet
and it’s very interesting
• It’s even got a sub-bullet
• This is my second bullet
and it adds a new thought
• This is the last bullet on this
slide (phew, I kept it short!)
Speakers:
160
words per minute
Your Audience Can Read
Faster Than You Can Talk
32. Bad Reasons for Verbose Slides
“I’m giving them as handouts to
refer to later”
“I won’t remember what
to say”
“My audience needs all
the details on the slide”
“My company always does
PowerPoint this way”
40. Picture Superiority Effect
8.6
11.2
12.4
Words Pictures Words +
Pictures
K. Mills & H. McMullan, A Study Of Short-term Memory Recall Of Pictures, Words, And Pictures And Words Presented Together, 2006
41. “When emotions are
considered above
everything else, don't
be afraid to add
more ornament.”
– John Maeda
(MIT Media Lab)
42. According to the UN, more
than a billion people do not
have access to clean water
43. “The goal of making
messages ‘emotional’
is to make
people care.”
51. Tip #2 – Image Fade
Overlay rectangle shape
Format " AutoShape
§ Fill Effects
§ Background color
§ From 0% to 100%
transparency
Adjust size to image
52. Tip #3 – Photo “Objects”
Can purchase online
(e.g. photoobjects.net)
“Set transparent color”
on picture toolbar
May need to edit/crop
first in Photoshop
64. Other Mini Tips
Keyboard shortcuts, e.g.
§ Ctrl-Shift-P
§ Ctrl-Shift-F
§ Underlined menu letters
Draw " Align or Distribute
Format " Line Spacing
65. Tools of the Trade
Remote pointer NXPowerLite Photoshop
I must admit here to not being a formal expert. I’ve done some reading, I’ve had a fair bit of practice, but I’m no Tetlock… so I’ve put this presentation together with the goal of sharing what little I have learned, not necessarily in communicating the very latest academic findings.
Note: I’m not going to talk about public speaking technique – I really think there are many others better than I to address that topic.
"It is easy to understand how a senior manager might read this PowerPoint slide and not realize that it addresses a life-threatening situation," the Columbia Accident Investigation Board concluded, citing Tufte's work. The board devoted a full page of its 2003 report to the issue, criticizing a space agency culture in which, it said, "the endemic use of PowerPoint" substituted for rigorous technical analysis.
But NASA -- like the rest of corporate and bureaucratic America -- seems powerless to resist PowerPoint. Just this month a minority report by the latest shuttle safety task force echoed the earlier concerns: Often, the group said, when it asked for data it ended up with PowerPoints -- without supporting documentation. (Washington Post)
Wovon man nicht sprechen kann, darüber muß man schweigen.
Don’t even begin a presentation unless you have something useful, contentful to communicate to your audience. If you’re invited to give a talk at a prestigious conference about something you are totally ignorant of, either ramp up very quickly or decline.
Once you’ve got something you want to communicate, you need to think about how you’re going to structure it – in a way that people will be impacted by it and remember what you had to say. In other words, you want to make your message sticky…
- The CORE, not DUMB-DOWN
If everything is important then nothing is important. If everything is priority then nothing is priority. You must be ruthless in your efforts to simplify — not dumb down — your message to its absolute core. We’re not talking about shallow sound bites here. Every idea — if you work hard enough — can be reduced to its bare essential meaning. For your presentation, what’s the key point? What’s the core? Why does (should) it matter? For your visuals the mantra is: Maximum effect, minimum means.
SURPRISE PEOPLE
MAKE A “GAP” – then fill it
You can get people’s interest by violating their expectations. Surprise people. Surprise will get their interest. But to sustain their interest you have to stimulate their curiosity. The best way to do that is to pose questions or open up holes in people’s knowledge and then fill those holes, say the authors. Make the audience aware that they have a gap in their knowledge and then fill that gap with the answers to the puzzle (or guide them to the answers). Take people on a journey of discovery. (The Discovery Channel’s MythBusters is about the only thing I can watch on the virtually unwatchable boob-tube these days as the TV program does a wonderful job of posing questions and then answering them, often in quite unexpected ways.)
Use natural speech and give real examples with real things, not abstractions. Speak of concrete images not of vague notions. Proverbs are good, say the authors, at reducing abstract concepts to concrete, simple, but powerful (and memorable) language. For example, “kill two birds with one stone.” Easier than saying something like “…let’s work toward maximizing our productivity by increasing efficiency across departments,” etc. And the phrase “…go to the moon and back” by JFK (and Ralph Kramden before him)? That’s concrete. You can visualize that.
If you are famous in your field you may have built-in credibility (but even that doesn’t go as far as it used to). Most of us, however, do not have that kind of credibility so we reach for numbers and cold hard data to support our claims as market leaders and so on. Statistics, say the Heath brothers, are not inherently helpful. What’s important is the context and the meaning of those statistics. Put it in terms people can visualize. “66 grams of fat” or “the equivalent of three Big Macs”? And if you showed a photo of the burgers, wouldn’t that stick? There are many ways to establish credibility, a quote from a client or the press may help, for example. But a long-winded account of your company’s history won’t help. In Japan especially, having a well-known trusted business partner or some big-name customers help establish credibility. The Heath brothers outline many good examples of credibility in their book..
People are emotional beings. It is not enough to take people through a laundry list of talking points and information on your slides, you must make them feel something. There are a million ways to help people feel something about your content. Images, of course, are one way to have audiences not only understand your point better but also to feel and to have a more visceral and emotional connection to your idea. Explaining the devastation of the Katrina hurricane and flood in the US, for example, could be done with bulletpoints, data, and talking points, but images of the aftermath and the pictures of the human suffering that occurred told the story in ways words alone never could. Just the words “Hurricane Katrina” conjure up vivid images in your mind today no doubt. We make emotional connections with people not abstractions. When possible put your ideas in human terms. “90 grams of fat” may seem concrete to you, but for others it's an abstraction. A picture (or verbal description) of an enormous plate of greasy French fries stacked high, a double cheese burger (extra cheese), and a large chocolate shake (extra whip cream) is visceral and sticky.
We tell stories all day long. It’s how humans have always communicated. We tell stories with our words and even with our art. We express ourselves through the stories we share. We teach, we learn, and we grow through stories. Why is it that when the majority of smart, talented people have the chance to present we usually get streams of information rather than story from them? Great ideas and great presentations have an element of story to them. But you see storytelling everywhere in the workplace. In Japan, for example, it’s a custom for a senior worker (sempai) to mentor a younger worker (kohai) on various issues concerning the company history and culture, and of course on how to do the job. The sempai does much of his informal teaching trough storytelling, though nobody calls it that. But that’s what it is. Once a younger worker hears the “story” of what happened to the poor guy who didn’t wear his hardhat on the factory floor one day he never forgets the lesson (and he never forgets to wear his hardhat). Stories get our attention and are easier to remember than lists of rules.
How do you do that in practice? One key to getting the right structure is to plan the structure of the story before filling in the details. You can’t just sit down and create powerpoints – put together a story board first. A key element of this is to think of your presentation in terms of “chunks”, for example my little “pyramid” device does that – it chops up the presentation into separate sections the audience can handle (hopefully).
REMOVE EXTRANEOUS DETAIL
Why? Yes, there’s the “Zen” aesthetic, but it’s also been proven by psychologists that people learn better when extraneous detail is not present. In PowerPoint, “more” is not always “better”. Remove anything you can to get to the essence of what you want to present. If in doubt, cut it out.
Compare with Steve Jobs – who is the master of the powerful keynote presentation. In fact, if you’ve not seen him go to Apple’s website or youtube and just watch him present.
Jobs is so assured of his material, that at times he will even talk to a blank slide. Just look how powerful that is – all the energy and attention is focused on him, speaking.
So now we’re going to have a little exercise. Imagine you have just joined Apple’s communications department. Apple is about to announce the migration to Intel processors, having used Motorola for many years. You know that you’ve got the track record from previous technology transitions to justify that you can do this. How would you put that slide together?
I’m guessing in most of your companies, you’d create something like this… (show of hands!)
Now look how Steve Jobs presented it.
As you can see, by making his slides simpler, Jobs ensures the focus is on what he has to say – we’ll come back to this point in a minute when we talk about how to choose the specifics of what goes on a slide.
Another key aspect of Style is how text is presented.
For on-screen presentations, legibility is key – for this reason, serif fonts are to be avoided. Please also avoid Comic Sans and Arial – they are so widely used (and abused) that they just don’t look elegant. Be different but classy. If you have to use standard Windows fonts, try Verdana, Trebuchet – or better, go for Lucida Sans, or Gill Sans (which has a slight “serify” feel to it).
Also make sure you’re not cramping text – a key element of good design is spacing.
Clearly a key aspect of legibility is font SIZE. Rule of thumb: 30 point
Except for my counter-example slides, I’ve not used any font < 30 points in this presentation
So, this phenomenon is well know. I shouldn’t have to tell you “don’t just read your slides” (although from the number of people who do exactly that, it’s certainly worth repeating).
However, I’m here to tell you something a bit more controversial: even if you don’t exactly read your slides, you shouldn’t have many words on the slide. By “many” I don’t mean 4 to 6 key bullet points, each of 5-10 words, I mean you should have at most a handful of words.
Dual channels is the concept that people have separate information processing channels for visual material and verbal material.
The visual channel handles information presented to the eyes (such as illustrations, animation, video, or on-screen text). The verbal channel handles information presented
to the ears (such as narration or nonverbal sounds).
The constraints on our processing capacity force us to make decisions about which pieces of incoming information to pay attention to, and the degree to which we should
build connections between selected pieces of information and our existing knowledge.
----------
Limited capacity is the concept that people can pay attention to only a few pieces of information in each channel at a time.
When an illustration or animation is presented, the learner is able to hold only a few images in working memory at any one time. These images reflect portions of the
presented material rather than an exact copy of the presented material. When a narration is presented, the learner is able to hold only a few words in working memory
at any one time.
-------------
A screen full of text overloads the mind’s visual channel:
Research finding: People understand a multimedia explanation better when the words are presented as narration rather than on-screen text (the Modality Principle).
Yes, this approach means that your slides won’t have all the details on that you are used to. That’s fine – put them in notes, in a handout, wherever – but they’re not a supporting visual to an effective talk.
For the final point (“my company”), try doing it differently – yes you might get pushback, but you might also get a sigh of relief when you give the first enjoyable presentation the company has ever seen. Of course you need to know when and how to choose your moment, but there are scientific principles underlying these suggestions – and recall what we said at the beginning about the real impact of bad Powerpoint to the business bottom line.
No clip art!
Background image from this PowerPoint template has too much salience itself and competes with the chart in the foreground.
Here the contrast is better between the background and the foreground, but the sand and beach ball are not compatible with the message. The background image (also a PowerPoint template) may be appropriate if the chart was comparing sunburn cases or days spent at resort holidays, etc. Still, you could find a better image elsewhere rather than using a tired template.
A background photo of a cell phone user in Japan or South Korea may work. This photo does not make for great contrast, however. Contrast can be helped by placing a dark transparent box behind the chart…..
… and contrast can be helped still further by adding a Gaussian blur to the background image.
I prefer to keep slides quite simple when displaying charts, graphs, or tables. A white background can make for good contrast with dark text and other elements (nothing has more contrast than black and white) and works well when your room is relatively bright. In a dark room, however, a white background may be overpowering.
So there are actually two good reasons (at least) – aside from adding some entertainment value
This is a well-recognized psychological fact (since research in the 60s): People remember what’s shown to them in picture form better than words alone.
Immediately after being shown a slide, they will remember text & pictures the same. But 30 seconds or more later, recall is much better with pictures, and even better with words and pictures.
Conversely, images and words that conflict dramatically inhibit recall.
(John Maeda photographed at TED 2007)
Note: only works for solid backgrounds (e.g. white)
More complex situations will require Photoshop
Warning about transparent colors in image (Photoshop or quick trick – use rectangle underneath)
This is the default format Excel produces
This is after changing a small number of options
Subtle shading can look good
Overlooked options
Data Series (gap)
Axis (offset)
Remove ink (think Tufte!)
3D
data/area borders
area fill
gridlines
(axes?)
In addition to removing the axes, you see in this one I’ve also introduced a little animation. Which brings us onto that thorny topic…
Animations are powerful. Animations are exciting. They add spice. But, like Tabasco, if overused, they destroy the dish.
Used well, animations can support your message. Like bold font, they can draw attention to a particular aspect of the slide. Or you can use animations to literally communicate a dynamic concept with moving pictures. But over-using them, or using them inappropriately, will destroy a presentation more quickly than any other technique.
NXpowerLite for example compressed this presentation from 18Mb to 7.