Fast Validated Learning is at the core of the Lean Startup Method. However, learning and mastering the Lean Startup Method is a time-consuming, arduous, and expensive venture. The main reason is that Lean Startup tools are developed, learned, and applied using a Fragmented Learning approach. There is an exponential increase in the number of Lean Startup tools. However, Lean Startup tools hardly talk to each other; they do not share a register or common vocabulary of topics,
Question-tags are very powerful tools for organizing and managing ideas as well as tools in any methodology including the Lean Startup Method. In this presentation, six question-tags and basic templates are presented. These question-tags and templates can be used as the basic building blocks or "atoms" for creating tools ("molecules" and "compounds") for Universal Problem Solving & Project Management (UPSPM). In other words, the presented blank and annotated Question (Q)-Templates can be used for discovering, solving, and managing problems in every domain.
For Lean Startups, these Q-Templates are the basic tools for effectively as well as efficiently organizing and managing Lean Startup projects. These Q-Templates can be put together to function like any Lean Startup tool' for instance, Validation Board, Value Proposition Canvas, Business Model Canvas, and Lean Canvas. Also, all business tools can be deconstructed or decomposed using the Q-Templates.
Cities and Startups: Cultivating Deep EngagementCode for America
Cities and Startups: Cultivating Deep Engagement
FastFWD, City of Philadelphia
Story Bellows, co-director of the Philadelphia Mayor's Office of New Urban Mechanics
Watch the video online: https://www.youtube.com/watch?v=PRKUCCHj-08&list=PL65XgbSILalVoej11T95Tc7D7-F1PdwHq&index=4
Get involved with Code for America: www.codeforamerica.org/action
In this presentation, we’ll go over real-world use cases of Machine Learning and Artificial Intelligence in web and mobile applications, and we’ll explain how they work. We’ll discuss opportunities for startups in all domains to create value from data (big or small) and to create innovative, predictive features in their applications.
We’ll review existing technologies that make Machine Learning accessible, in particular with automatic selection of algorithms, auto-tuning of parameters, and auto-scaling. Deep Learning (a subset of Machine Learning techniques which is getting a lot of press due to recent advances and successes) is also being made accessible without costly hardware and, in certain cases, without requiring specialized knowledge.
The main message for developers is that they can easily use the power of machine intelligence without having to rely on a team of Data Scientists. This will be illustrated in more detail with concrete use cases: priority detection and image categorization.
Ultra brief and ultra draft overview of investor's look at machine learning / deep learning startups by Victor Osyka of Almaz Capital, https://www.linkedin.com/in/victorosyka or http://fb.com/victor.osika
Investors foresee a safe bet on deep tech startupseTailing India
Indian deep technology start-ups have become the most sought after bets for angels and venture capital (VC) funds for their potential to scale up rapidly and be able to offer an opportunity for early exit for the investors.
Self-Service.AI - Pitch Competition for AI-Driven SaaS StartupsDatentreiber
SELF-SERVICE.AI IN A NUTSHELL
Background:> artificial intelligence enables SaaS companies to build intelligent self-service solutions for complex tasks such as customer service, personal scheduling, dynamic pricing, ad targeting etc.
Objective:> provide a networking platform for AI-driven SaaS start-ups to present their product and team to high profile clients, partners and investors by organizing a start-up pitch competition.
Audience:> start-ups from any country worldwide at any given stage with a Software-as-a-Service product that uses artificial intelligence (i.e. machine & deep learning, predictive & prescriptive analytics etc.) to provide a self-service solution for companies or consumers that solve a concrete business problem or serve a certain need.
Examples:> existing AI-driven SaaS startups are e.g.: Clarifai, x.ai, Api.ai, Versium, Gpredictive, collectAI, trbo, DigitalGenius, DataMinr and many more to come.
Cities and Startups: Cultivating Deep EngagementCode for America
Cities and Startups: Cultivating Deep Engagement
FastFWD, City of Philadelphia
Story Bellows, co-director of the Philadelphia Mayor's Office of New Urban Mechanics
Watch the video online: https://www.youtube.com/watch?v=PRKUCCHj-08&list=PL65XgbSILalVoej11T95Tc7D7-F1PdwHq&index=4
Get involved with Code for America: www.codeforamerica.org/action
In this presentation, we’ll go over real-world use cases of Machine Learning and Artificial Intelligence in web and mobile applications, and we’ll explain how they work. We’ll discuss opportunities for startups in all domains to create value from data (big or small) and to create innovative, predictive features in their applications.
We’ll review existing technologies that make Machine Learning accessible, in particular with automatic selection of algorithms, auto-tuning of parameters, and auto-scaling. Deep Learning (a subset of Machine Learning techniques which is getting a lot of press due to recent advances and successes) is also being made accessible without costly hardware and, in certain cases, without requiring specialized knowledge.
The main message for developers is that they can easily use the power of machine intelligence without having to rely on a team of Data Scientists. This will be illustrated in more detail with concrete use cases: priority detection and image categorization.
Ultra brief and ultra draft overview of investor's look at machine learning / deep learning startups by Victor Osyka of Almaz Capital, https://www.linkedin.com/in/victorosyka or http://fb.com/victor.osika
Investors foresee a safe bet on deep tech startupseTailing India
Indian deep technology start-ups have become the most sought after bets for angels and venture capital (VC) funds for their potential to scale up rapidly and be able to offer an opportunity for early exit for the investors.
Self-Service.AI - Pitch Competition for AI-Driven SaaS StartupsDatentreiber
SELF-SERVICE.AI IN A NUTSHELL
Background:> artificial intelligence enables SaaS companies to build intelligent self-service solutions for complex tasks such as customer service, personal scheduling, dynamic pricing, ad targeting etc.
Objective:> provide a networking platform for AI-driven SaaS start-ups to present their product and team to high profile clients, partners and investors by organizing a start-up pitch competition.
Audience:> start-ups from any country worldwide at any given stage with a Software-as-a-Service product that uses artificial intelligence (i.e. machine & deep learning, predictive & prescriptive analytics etc.) to provide a self-service solution for companies or consumers that solve a concrete business problem or serve a certain need.
Examples:> existing AI-driven SaaS startups are e.g.: Clarifai, x.ai, Api.ai, Versium, Gpredictive, collectAI, trbo, DigitalGenius, DataMinr and many more to come.
Recommender Systems and Active Learning (for Startups)Neil Rubens
This presentation presents a high level overview of recommender systems and active learning, including from the viewpoint of startups vs. established companies, the cold-start problem, etc.
Investor's view on machine intelligence startups, 2.0, Jan 2017Victor Osyka
Updated deeper overview of investor's look at machine learning / deep learning startups, with slight Russian accent. =)
Some slides are courtesy of Russia.ai and personally great friend @Petr Zhegin:
#23, #28 are from http://www.russia.ai/single-post/2016/09/21/Ten-Russian-speaking-venture-capital-funds-one-may-consider-to-back-an-AI-startup
#30 insights are from http://www.slideshare.net/RussiaAI/artificial-intelligence-investment-trends-and-applications-h1-2016
Victor Osyka of Almaz Capital, http://fb.com/victor.osika, http://medium.com/@victorosyka
Deep learning in production with the bestAdam Gibson
Getting deep learning adopted at your company. The current landscape of academia vs industry. Presentation at AI with the best (online conference):
http://ai.withthebest.com/
BootstrapLabs - Tracxn Report - artificial intelligence for the Applied Arti...BootstrapLabs
This report covers companies that provide the infrastructure for creating Artificial Intelligence. These Infrastructure companies include those working on Machine Learning, Deep Learning based platforms, libraries. Some of theses companies also provide platforms for Natural Language Processing and Visual Recognition. In the Applications section, the report covers companies leveraging AI techniques to build applications tailored for end use in Enterprise, Industry & Consumer sectors.
Over $1B has been invested in AI-Infrastructure startups since 2010 with ¬$340M being invested in 2015. Over $7.5B has been invested in AI-Applications startups since 2010 with $2.3B being invested in 2015.
This is the slide that Terry. T. Um gave a presentation at Kookmin University in 22 June, 2014. Feel free to share it and please let me know if there is some misconception or something.
(http://t-robotics.blogspot.com)
(http://terryum.io)
Scalable Data Science and Deep Learning with H2O
In this session, we introduce the H2O data science platform. We will explain its scalable in-memory architecture and design principles and focus on the implementation of distributed deep learning in H2O. Advanced features such as adaptive learning rates, various forms of regularization, automatic data transformations, checkpointing, grid-search, cross-validation and auto-tuning turn multi-layer neural networks of the past into powerful, easy-to-use predictive analytics tools accessible to everyone. We will present a broad range of use cases and live demos that include world-record deep learning models, anomaly detection tools and approaches for Kaggle data science competitions. We also demonstrate the applicability of H2O in enterprise environments for real-world customer production use cases.
By the end of the hands-on-session, attendees will have learned to perform end-to-end data science workflows with H2O using both the easy-to-use web interface and the flexible R interface. We will cover data ingest, basic feature engineering, feature selection, hyperparameter optimization with N-fold cross-validation, multi-model scoring and taking models into production. We will train supervised and unsupervised methods on realistic datasets. With best-of-breed machine learning algorithms such as elastic net, random forest, gradient boosting and deep learning, you will be able to create your own smart applications.
A local installation of RStudio is recommended for this session.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
How to win data science competitions with Deep LearningSri Ambati
Note: Please download the slides first, otherwise some links won't work!
How to win kaggle style data science competitions and influence decisions with R, Deep Learning and H2O's fast algorithms.
We take a few public and kaggle datasets and model to win competitions on accuracy and scoring speed.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
H2O Distributed Deep Learning by Arno Candel 071614Sri Ambati
Deep Learning R Vignette Documentation: https://github.com/0xdata/h2o/tree/master/docs/deeplearning/
Deep Learning has been dominating recent machine learning competitions with better predictions. Unlike the neural networks of the past, modern Deep Learning methods have cracked the code for training stability and generalization. Deep Learning is not only the leader in image and speech recognition tasks, but is also emerging as the algorithm of choice in traditional business analytics.
This talk introduces Deep Learning and implementation concepts in the open-source H2O in-memory prediction engine. Designed for the solution of enterprise-scale problems on distributed compute clusters, it offers advanced features such as adaptive learning rate, dropout regularization and optimization for class imbalance. World record performance on the classic MNIST dataset, best-in-class accuracy for eBay text classification and others showcase the power of this game changing technology. A whole new ecosystem of Intelligent Applications is emerging with Deep Learning at its core.
About the Speaker: Arno Candel
Prior to joining 0xdata as Physicist & Hacker, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world's largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives. While at SLAC, he authored the first curvilinear finite-element simulation code for space-charge dominated relativistic free electrons and scaled it to thousands of compute nodes.
He also led a collaboration with CERN to model the electromagnetic performance of CLIC, a ginormous e+e- collider and potential successor of LHC. Arno has authored dozens of scientific papers and was a sought-after academic conference speaker. He holds a PhD and Masters summa cum laude in Physics from ETH Zurich.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Transform your Business with AI, Deep Learning and Machine LearningSri Ambati
Video: https://www.youtube.com/watch?v=R3IXd1iwqjc
Meetup: http://www.meetup.com/SF-Bay-ACM/events/231709894/
In this talk, Arno Candel presents a brief history of AI and how Deep Learning and Machine Learning techniques are transforming our everyday lives. Arno will introduce H2O, a scalable open-source machine learning platform, and show live demos on how to train sophisticated machine learning models on large distributed datasets. He will show how data scientists and application developers can use the Flow GUI, R, Python, Java, Scala, JavaScript and JSON to build smarter applications, and how to take them to production. He will present customer use cases from verticals including insurance, fraud, churn, fintech, and marketing.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
BigDL: A Distributed Deep Learning Library on Spark: Spark Summit East talk b...Spark Summit
BigDL is a distributed deep Learning framework built for Big Data platform using Apache Spark. It combines the benefits of “high performance computing” and “Big Data” architecture, providing native support for deep learning functionalities in Spark, orders of magnitude speedup than out-of-box open source DL frameworks (e.g., Caffe/Torch) wrt single node performance (by leveraging Intel MKL), and the scale-out of deep learning workloads based on the Spark architecture. We’ll also share how our users adopt BigDL for their deep learning applications (such as image recognition, object detection, NLP, etc.), which allows them to use their Big Data (e.g., Apache Hadoop and Spark) platform as the unified data analytics platform for data storage, data processing and mining, feature engineering, traditional (non-deep) machine learning, and deep learning workloads.
Some resources how to navigate in the hardware space in order to build your own workstation for training deep learning models.
Alternative download link: https://www.dropbox.com/s/o7cwla30xtf9r74/deepLearning_buildComputer.pdf?dl=0
FRACTAL GRIDDING: A Visual Technique for Managing Personal, Enterprise, and N...Rod King, Ph.D.
This presentation introduces the WHY, WHAT, and HOW of the Fractal Gridding Technique, which is an invention of Dr. Rod King. Fractal Gridding and in particular, the 3x3 Fractal Grid, can be used for effectively and efficiently organizing, managing, and tracking ideas everywhere: at School, Home, Outdoors, and Work (SHOW). The goal of daily using Fractal Gridding is to rapidly become a lifelong EPIC Learner. "EPIC" is an acronym for "Exponential Productivity, Innovation, and Creativity."
Way to go lifelong EPIC Learner!
And good long in your journey.
Build a Culture for Rapidly Achieving BALANCED GREATNESS Everywhere: A Case S...Rod King, Ph.D.
This presentation features the methodology of Ambifragile Project Planning & Execution (APPEx) which aims to facilitate the building of a Balanced Greatness culture everywhere. A case study on APPEx is presented using information from the 2018 mayoral campaign in Freetown (Sierra Leone) of candidate Yvonne Aki-Sawyerr. This presentation illustrates how APPEx can be used not only in reframing and visually presenting the vision of any political campaign but also in translating into reality and through projects a candidate's vision, strategy, and conceptual plan for achieving Balanced Greatness. Also, the APPEx methodology offers brain-friendly tools and graphic organizers such as the 1-Page Vision-Strategy-Plan and 1-Page Ambifragile Project Plan that can be used to rapidly discover and solve pains in any domain as well as at personal, team, and societal levels. The approach of APPEx visually synthesizes the world's best tools for visually collecting, organizing, managing and evaluating information in projects at any level or scale.
PS: I'd like to note that although the presentation uses material from the campaign of mayoral candidate Yvonne Aki-Sawyerr, she neither ordered this presentation nor endorses it. This case study is purely academic and meant to illustrate how the APPEx methodology can be used to rapidly build a culture for achieving Balanced Greatness everywhere on the planet especially in Sierra Leone and starting from Freetown, her capital city.
APEx Meta-Platform: Rapidly Document, Organize, Manage, and Solve NATIONAL SE...Rod King, Ph.D.
Nowadays, business is suffering from what I call the "Tower of Babel (TB)" phenomenon: there are too many disparate or fragmented business tools. Each business tool appears to have a language of its own so that communication between users of different tools is fraught with great difficulties. This situation is reminiscent of the Tower of Babel event which is described in the Bible.
But, how can one eliminate the Tower of Babel phenomenon regarding business tools and their uses? Conceptually, the ideal solution involves use of an "operating system" or a platform that permits application of every tool while eliminating their trade-offs. An ideal solution is the Adaptive Planning & Execution (APEx) platform which is featured in this presentation. The APEx Platform can be used to rapidly organize, manage, and present problems as well as solutions for greater national security and prosperity.
SUPPLY CHAIN CANVAS: Deliver “10x Faster, Better, and Cheaper Solutions” for ...Rod King, Ph.D.
The guaranteed survival of any organization today depends on its ability to deliver "exponential solutions" and in particular, "10x Faster, Better, and Cheaper Solutions" than traditional ones. This Ideal Value Proposition is highly desirable by many organizations. However, the big question is: "How does one create and deliver "10x Faster, Better, and Cheaper Solutions" for stakeholders?
This presentation introduces the tool of the Supply Chain Canvas. Building on the concept of the classic supply chain which involves four categories of stakeholders (Supplier; Provider; Customer; Consumer), the Supply Chain Canvas uses the concept and tool of the Business Model Strip to link the stakeholders to form a fractal supply chain. The resulting diagram, which is called a "Supply Chain Canvas," can be used to rapidly map, analyze, improve, design, and manage supply chains as well as business models. Included in this presentation are examples of how the Supply Chain Canvas is applied to the non-governmental sector as well as private sector.
Recommender Systems and Active Learning (for Startups)Neil Rubens
This presentation presents a high level overview of recommender systems and active learning, including from the viewpoint of startups vs. established companies, the cold-start problem, etc.
Investor's view on machine intelligence startups, 2.0, Jan 2017Victor Osyka
Updated deeper overview of investor's look at machine learning / deep learning startups, with slight Russian accent. =)
Some slides are courtesy of Russia.ai and personally great friend @Petr Zhegin:
#23, #28 are from http://www.russia.ai/single-post/2016/09/21/Ten-Russian-speaking-venture-capital-funds-one-may-consider-to-back-an-AI-startup
#30 insights are from http://www.slideshare.net/RussiaAI/artificial-intelligence-investment-trends-and-applications-h1-2016
Victor Osyka of Almaz Capital, http://fb.com/victor.osika, http://medium.com/@victorosyka
Deep learning in production with the bestAdam Gibson
Getting deep learning adopted at your company. The current landscape of academia vs industry. Presentation at AI with the best (online conference):
http://ai.withthebest.com/
BootstrapLabs - Tracxn Report - artificial intelligence for the Applied Arti...BootstrapLabs
This report covers companies that provide the infrastructure for creating Artificial Intelligence. These Infrastructure companies include those working on Machine Learning, Deep Learning based platforms, libraries. Some of theses companies also provide platforms for Natural Language Processing and Visual Recognition. In the Applications section, the report covers companies leveraging AI techniques to build applications tailored for end use in Enterprise, Industry & Consumer sectors.
Over $1B has been invested in AI-Infrastructure startups since 2010 with ¬$340M being invested in 2015. Over $7.5B has been invested in AI-Applications startups since 2010 with $2.3B being invested in 2015.
This is the slide that Terry. T. Um gave a presentation at Kookmin University in 22 June, 2014. Feel free to share it and please let me know if there is some misconception or something.
(http://t-robotics.blogspot.com)
(http://terryum.io)
Scalable Data Science and Deep Learning with H2O
In this session, we introduce the H2O data science platform. We will explain its scalable in-memory architecture and design principles and focus on the implementation of distributed deep learning in H2O. Advanced features such as adaptive learning rates, various forms of regularization, automatic data transformations, checkpointing, grid-search, cross-validation and auto-tuning turn multi-layer neural networks of the past into powerful, easy-to-use predictive analytics tools accessible to everyone. We will present a broad range of use cases and live demos that include world-record deep learning models, anomaly detection tools and approaches for Kaggle data science competitions. We also demonstrate the applicability of H2O in enterprise environments for real-world customer production use cases.
By the end of the hands-on-session, attendees will have learned to perform end-to-end data science workflows with H2O using both the easy-to-use web interface and the flexible R interface. We will cover data ingest, basic feature engineering, feature selection, hyperparameter optimization with N-fold cross-validation, multi-model scoring and taking models into production. We will train supervised and unsupervised methods on realistic datasets. With best-of-breed machine learning algorithms such as elastic net, random forest, gradient boosting and deep learning, you will be able to create your own smart applications.
A local installation of RStudio is recommended for this session.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
How to win data science competitions with Deep LearningSri Ambati
Note: Please download the slides first, otherwise some links won't work!
How to win kaggle style data science competitions and influence decisions with R, Deep Learning and H2O's fast algorithms.
We take a few public and kaggle datasets and model to win competitions on accuracy and scoring speed.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
H2O Distributed Deep Learning by Arno Candel 071614Sri Ambati
Deep Learning R Vignette Documentation: https://github.com/0xdata/h2o/tree/master/docs/deeplearning/
Deep Learning has been dominating recent machine learning competitions with better predictions. Unlike the neural networks of the past, modern Deep Learning methods have cracked the code for training stability and generalization. Deep Learning is not only the leader in image and speech recognition tasks, but is also emerging as the algorithm of choice in traditional business analytics.
This talk introduces Deep Learning and implementation concepts in the open-source H2O in-memory prediction engine. Designed for the solution of enterprise-scale problems on distributed compute clusters, it offers advanced features such as adaptive learning rate, dropout regularization and optimization for class imbalance. World record performance on the classic MNIST dataset, best-in-class accuracy for eBay text classification and others showcase the power of this game changing technology. A whole new ecosystem of Intelligent Applications is emerging with Deep Learning at its core.
About the Speaker: Arno Candel
Prior to joining 0xdata as Physicist & Hacker, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world's largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives. While at SLAC, he authored the first curvilinear finite-element simulation code for space-charge dominated relativistic free electrons and scaled it to thousands of compute nodes.
He also led a collaboration with CERN to model the electromagnetic performance of CLIC, a ginormous e+e- collider and potential successor of LHC. Arno has authored dozens of scientific papers and was a sought-after academic conference speaker. He holds a PhD and Masters summa cum laude in Physics from ETH Zurich.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Transform your Business with AI, Deep Learning and Machine LearningSri Ambati
Video: https://www.youtube.com/watch?v=R3IXd1iwqjc
Meetup: http://www.meetup.com/SF-Bay-ACM/events/231709894/
In this talk, Arno Candel presents a brief history of AI and how Deep Learning and Machine Learning techniques are transforming our everyday lives. Arno will introduce H2O, a scalable open-source machine learning platform, and show live demos on how to train sophisticated machine learning models on large distributed datasets. He will show how data scientists and application developers can use the Flow GUI, R, Python, Java, Scala, JavaScript and JSON to build smarter applications, and how to take them to production. He will present customer use cases from verticals including insurance, fraud, churn, fintech, and marketing.
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
BigDL: A Distributed Deep Learning Library on Spark: Spark Summit East talk b...Spark Summit
BigDL is a distributed deep Learning framework built for Big Data platform using Apache Spark. It combines the benefits of “high performance computing” and “Big Data” architecture, providing native support for deep learning functionalities in Spark, orders of magnitude speedup than out-of-box open source DL frameworks (e.g., Caffe/Torch) wrt single node performance (by leveraging Intel MKL), and the scale-out of deep learning workloads based on the Spark architecture. We’ll also share how our users adopt BigDL for their deep learning applications (such as image recognition, object detection, NLP, etc.), which allows them to use their Big Data (e.g., Apache Hadoop and Spark) platform as the unified data analytics platform for data storage, data processing and mining, feature engineering, traditional (non-deep) machine learning, and deep learning workloads.
Some resources how to navigate in the hardware space in order to build your own workstation for training deep learning models.
Alternative download link: https://www.dropbox.com/s/o7cwla30xtf9r74/deepLearning_buildComputer.pdf?dl=0
FRACTAL GRIDDING: A Visual Technique for Managing Personal, Enterprise, and N...Rod King, Ph.D.
This presentation introduces the WHY, WHAT, and HOW of the Fractal Gridding Technique, which is an invention of Dr. Rod King. Fractal Gridding and in particular, the 3x3 Fractal Grid, can be used for effectively and efficiently organizing, managing, and tracking ideas everywhere: at School, Home, Outdoors, and Work (SHOW). The goal of daily using Fractal Gridding is to rapidly become a lifelong EPIC Learner. "EPIC" is an acronym for "Exponential Productivity, Innovation, and Creativity."
Way to go lifelong EPIC Learner!
And good long in your journey.
Build a Culture for Rapidly Achieving BALANCED GREATNESS Everywhere: A Case S...Rod King, Ph.D.
This presentation features the methodology of Ambifragile Project Planning & Execution (APPEx) which aims to facilitate the building of a Balanced Greatness culture everywhere. A case study on APPEx is presented using information from the 2018 mayoral campaign in Freetown (Sierra Leone) of candidate Yvonne Aki-Sawyerr. This presentation illustrates how APPEx can be used not only in reframing and visually presenting the vision of any political campaign but also in translating into reality and through projects a candidate's vision, strategy, and conceptual plan for achieving Balanced Greatness. Also, the APPEx methodology offers brain-friendly tools and graphic organizers such as the 1-Page Vision-Strategy-Plan and 1-Page Ambifragile Project Plan that can be used to rapidly discover and solve pains in any domain as well as at personal, team, and societal levels. The approach of APPEx visually synthesizes the world's best tools for visually collecting, organizing, managing and evaluating information in projects at any level or scale.
PS: I'd like to note that although the presentation uses material from the campaign of mayoral candidate Yvonne Aki-Sawyerr, she neither ordered this presentation nor endorses it. This case study is purely academic and meant to illustrate how the APPEx methodology can be used to rapidly build a culture for achieving Balanced Greatness everywhere on the planet especially in Sierra Leone and starting from Freetown, her capital city.
APEx Meta-Platform: Rapidly Document, Organize, Manage, and Solve NATIONAL SE...Rod King, Ph.D.
Nowadays, business is suffering from what I call the "Tower of Babel (TB)" phenomenon: there are too many disparate or fragmented business tools. Each business tool appears to have a language of its own so that communication between users of different tools is fraught with great difficulties. This situation is reminiscent of the Tower of Babel event which is described in the Bible.
But, how can one eliminate the Tower of Babel phenomenon regarding business tools and their uses? Conceptually, the ideal solution involves use of an "operating system" or a platform that permits application of every tool while eliminating their trade-offs. An ideal solution is the Adaptive Planning & Execution (APEx) platform which is featured in this presentation. The APEx Platform can be used to rapidly organize, manage, and present problems as well as solutions for greater national security and prosperity.
SUPPLY CHAIN CANVAS: Deliver “10x Faster, Better, and Cheaper Solutions” for ...Rod King, Ph.D.
The guaranteed survival of any organization today depends on its ability to deliver "exponential solutions" and in particular, "10x Faster, Better, and Cheaper Solutions" than traditional ones. This Ideal Value Proposition is highly desirable by many organizations. However, the big question is: "How does one create and deliver "10x Faster, Better, and Cheaper Solutions" for stakeholders?
This presentation introduces the tool of the Supply Chain Canvas. Building on the concept of the classic supply chain which involves four categories of stakeholders (Supplier; Provider; Customer; Consumer), the Supply Chain Canvas uses the concept and tool of the Business Model Strip to link the stakeholders to form a fractal supply chain. The resulting diagram, which is called a "Supply Chain Canvas," can be used to rapidly map, analyze, improve, design, and manage supply chains as well as business models. Included in this presentation are examples of how the Supply Chain Canvas is applied to the non-governmental sector as well as private sector.
Can BUSINESS MODEL HACKING Instantly Save the National Defense & Intelligence...Rod King, Ph.D.
"Business Model Hacking (BMH)" refers to a multilevel mapping methodology that uses the unit of analysis of a business model to rapidly discover and eliminate pain in the lifecycle of any system, project, and/or business model. The approach of Business Model Hacking can be applied to projects in the public and private sectors as well as non-governmental organizations and society in general. The current program of "Hacking for Defense (H4D)," which is pioneered at Stanford University can be regarded as a basic instance of Business Model Hacking that uses the Mission Model Canvas (Business Model Canvas) and Value Proposition Canvas within the framework of the Lean Launchpad Methodology. However, given the "12 Handicaps" of the Mission Model Canvas (Business Model Canvas), Rod King uses a different toolkit for Business Model Hacking. Details of King's toolkit can be found in his groundbreaking book, "Business Model Canvas: A Good Tool with Bad Instructions?" This book is available at Amazon.com.
This presentation focuses on King's two tools for Business Model Hacking: Problem Solving Theater (PST) and Value Engine Map (VEM). These tools are applied to proposed projects in the National Defense and Intelligence Communities. When properly applied, tools of Business Model Hacking can help organizations to effectively and efficiently achieve their goals, vision, and mission. In particular, Business Model Hacking can help the National Defense and Intelligence Communities to rapidly save thousands of lives as well as millions of dollars.
STUDENTSOURCING:A Mini-Case Study on “Hacking for X (H4X)” Programat Stanfo...Rod King, Ph.D.
You may be wondering about the question, "What is StudentSourcing?" Well, here are three things you quickly need to know about "StudentSourcing."
1) StudentSourcing is a term independently coined by Rod King to describe the emerging phenomenon and multisided business model where tough national, regional, and/or local problems in the public sector and private sectors as well as community are “outsourced” or “crowdsourced” to student teams in primary, secondary, and/or tertiary education who provide validated and scalable solutions (prototypes)
2) The most prominent example of StudentSourcing or a StudentSourcing business model involves the “Hacking for X (H4X)” and in particular, “Hacking for Defense (H4D)” program, which was created at the Stanford University and is currently spreading worldwide
3) For public sector and community projects, StudentSourcing can be regarded as a de facto “National Development Service program” for students
This presentation focuses on three Global Pain Solving (GPS) tools that can be used to facilitate StudentSourcing including the Hacking for Defense (H4D) program at Stanford University. The GPS tools complement the Lean LaunchPad Methodology that is used in the H4D program.
2x2 Value Engine Map: Instantly Revolutionize Product Pitching, Business Stra...Rod King, Ph.D.
THIS ONE MAP REVOLUTIONIZES PRODUCT POSITIONING, BUSINESS STRATEGY, AND INNOVATION ACCOUNTING: The 2x2 Value Engine Map
Not many people know or would like to admit it: There are many popular but misleading ideas in business especially from established and emerging business “gurus.” A popular but misleading idea is the maxim of “One tool does not fit all.”
The cliche of “One tool does not fit all” stems from the last century when “pipes” or single-sided business models were dominant. In this century, “platforms” or multisided business models are increasingly disrupting traditional pipe business models. Whereas a pipe business model tries to resolve a single trade-off, a platform or multisided business model is designed to resolve two or more trade-offs. An excellent example of the transition from a pipe to a platform business model can be seen in the evolution of the business model of Apple’s iPod which finally morphed into a platform for the iPhone.
In the graphic below, I present a tool of and for BUSINESS CONSILIENCE: a 2x2 Value Engine Map. This Value Engine Map can be used to facilitate product pitching, business planning, business strategy, and business model design as well as the process of innovation accounting in the Lean Startup Methodology.
So, what do you think?
BUSINESS MODEL CANVAS: A Good Tool With Bad Instructions? Get Free Preview of...Rod King, Ph.D.
Originally conceived by Alexander Osterwalder, the Business Model Canvas is widely used by entrepreneurs to document the status of their business models. In principle, the Business Model Canvas can be used as a versatile tool for discovering and solving any type of pain on the planet. However, the Business Model Canvas is sub-optimally used. The Business Model Canvas has 12 "handicaps" that constrain it as a versatile tool for Open & Multilevel Pain Solving. This book critically and deeply explores the Business Model Canvas with a view to identifying as well as fixing its handicaps. Complementary tools such as the Business Model Strip, POKER Scorecard, and POKER Canvas are suggested to be used so that the full potential of the Business Model Canvas can be realized.
Silicon Valley’s Tools for Translating Startup Ideas into Billion Dollar Comp...Rod King, Ph.D.
This presentation features the POKER-Scorecard which is a shared language and platform for presenting and applying any business tool especially those used in Silicon Valley.
12 Disruption Vulnerabilities of the Business Model Canvas: BUSINESS MODEL CA...Rod King, Ph.D.
This presentation presents 12 "Disruption Vulnerabilities" or Achilles's Heels of the Business Model Canvas. Although the Business Model Canvas serves as a good tool for visually documenting a business model, it is limited in many respects especially with documenting, analyzing, and designing two/multisided markets (platforms). The tool of the Business Model Strip is presented as an alternative that eliminates the Disruption Vulnerabilities of the Business Model Canvas.
The Business Model Strip is designed with a multilevel paradigm so that it can be presented at various levels and in different visual formats. This presentation features the Business Model Strip in "canvas" (tessellation) format with 5 blocks (meso-level) as well as 9/11 blocks (micro-level). Finally, a visual template and checklist for an Exponential Business Canvas are presented.
Universal Business Modeling Template & Language for Venture Capitalists, Scal...Rod King, Ph.D.
This presentation features the Business Model Strip, which is a universal business modeling template. The Business Model Strip provides a common visual language for mapping the topics of every business model template on the planet. Consequently, using the Business Model Strip facilitates conversations on business model innovation and improvement between users of differing templates such as the Community Happiness Canvas, Business Model Canvas, Lean Canvas, and Business Model Matrix.
Integrate One Line Business Modeling & Customer-First Process Improvement: Th...Rod King, Ph.D.
Of late, there seems to be one tool for every business goal or objective. Such proliferation of tools leads to a lot of waste in terms of money, energy, and time that are required to learn and master business tools. The Business Model Strip is a "revolutionary approach" that introduces a master (platform) tool that relates to all business tools. Here, the Business Model Strip or "One Line Business Model (OLBM)" is presented from the perspective of the SIPOC tool.
Two Steps for Rapidly Eliminating Pain in Every Business, Non-Profit Organiza...Rod King, Ph.D.
This presentation features an approach for Standard Pain Solving (SPS) in any domain. The Standard Pain Solving Methodology involves two steps: 1) Ask a Pain Solving Question (PSQ) in the format of "How Might We Eliminate Pain (HMWEP) of X?" 2) Use the Business Model Strip to Iteratively Answer the Pain Solving Question.
Should We Burn the BUSINESS MODEL CANVAS and LEAN CANVAS?Rod King, Ph.D.
The Business Model Canvas and Lean Canvas are "staple business tools" that are used the world over by entrepreneurs, startups, and established companies. But the question is: Should we burn the Business Model Canvas as well as the Lean Canvas?
Burning a business tool may be strange. And admittedly, "burning a business tool" is a gimmick to stir up controversy especially with practitioners and fans of a business tool. Alexander Osterwalder stirred up fans and ardent practitioners of the Business Plan when on November 26, 2012 he wrote an article in the online Wall Street Journal, "Burn Your Business Plan - Before it Burns You;" see http://blogs.wsj.com/accelerators/2012/11/26/burn-your-business-plan-before-it-burns-you/
I present the issue of burning the Business Model Canvas and Lean Canvas because they have rather irreparable structural problems. And, in my view, the structural problems of the Business Model Canvas and Lean Canvas are limiting creativity and innovation in business modeling tools. Many cannot escape the box of the Business Model Canvas or Lean Canvas.
In this document, I present a case on why the Business Model Canvas and Lean Canvas should be burnt. An alternative tool of the Business Model Strip is introduced. Luckily the Business Model Strip is compatible with both the Business Model Canvas and Lean Canvas.
Business Model Strip SCORECARD FOR RADICALLY IMPROVING THE PERFORMANCE OF BUS...Rod King, Ph.D.
This presentation features the Business Model Strip SCORECARD, which is a template for radically improving the performance of business models for startups as well as as established companies. The Business Model Strip Scorecard seamless integrates ideas from the Balanced Scorecard, Strategy Map, and Business Model Canvas as well as over 10 other business tools. Consequently, the Business Model Strip Scorecard offers the most comprehensive tool for managing the performance of business models.
Flourishing Business Canvas vs. Total Happiness Canvas: Similarities and Diff...Rod King, Ph.D.
I recently came across the Flourishing Business Canvas and I'm struck by its conceptual rigor which is similar to that of the Total Happiness Canvas that I developed. The Flourishing Business Canvas was developed by Antony Upward.
Rod King's Total Happiness Canvas involves an application to business modeling of Albert Einstein's idea of a SpaceTime continuum. SpaceTime is defined by two question-tags: When (Time) and Where (Space or System). The four question-tags of Who, What, How, and Why define a system including its impacts or value (negative and positive).
Integrated with the Total Happiness Canvas is a heuristic for universal pain (problem) solving and learning, that is, the Pain-Plan-Do-Review (PPDR) Cycle. This heuristic draws upon the learning cycle of Plan-Do-Review as well as Deming's Plan-Do-Check-Act (PDCA) cycle for continuous improvement. Addition of a "Pain" dimension to the latter cycle expands the aforementioned heuristics to a cycle for pain (problem) solving.
In this presentation, I present side-by-side topics of the Flourishing Business Canvas and the Total Happiness Canvas. In this way, similarities and differences between the two canvases can be quickly seen.
There are two major differences between topics of each tool. First, the topics of the Total Happiness Canvas are driven by a question-and-answer framework. In particular, the Total Happiness Canvas is driven by a Pain Solving Question (PSQ) that must first be formulated. The basic format of the PSQ is: "How Might We Eliminate Pain (HMWEP) of 'X'?' It's important to note that 'X' can be any theme, topic, or issue. The PSQ is then iteratively answered by going through the Pain-Plan-Do-Review (PPDR) Cycle. Tools like the Business Model Canvas, Lean Canvas, and Flourishing Business Canvas serve as 'scoreboards' while iteratively answering the PSQ.
The second main difference is that the Total Happiness Canvas is a visual "plug-and-play" platform that provides a Universal Pain Solving & Project Management (UPSPM) process for achieving goals in any domain. All business tools can be used in conjunction with the Total Happiness Canvas. Consequently, the Total Happiness Canvas can be used for "playing" the tool of the Flourishing Business Canvas. While using the process of the Total Happiness Canvas, the Flourishing Business Canvas acts as a visual information manager or 'scorecard' for organizing and managing ideas on each topic within the framework of UPSPM.
Finally, when used with the Total Happiness Canvas, many tools such as in Design Thinking, Six Sigma Methodology, Lean Startup Method, and Theory can be seamlessly applied using the Flourishing Business Canvas. The framework of the Total Happiness Canvas allows many and varied pain (problem) solving tools to be mixed and matched.
Family of 4 Visual Templates for the TOTAL HAPPINESS CANVASRod King, Ph.D.
The first 'canvas' tool, which I encountered in business, was the Strategy Canvas in the toolkit of Blue Ocean Strategy. The Strategy Canvas involves the plot of Value Curves for organizations (businesses) in the Red Ocean as well as Blue Ocean. After the Strategy Canvas came the tessellation of the "Business Model Canvas that was developed by Alexander Osterwalder.
The Business Model Canvas is a 'phenomenon' in the business community especially for startups. The Business Model Canvas is used worldwide and has spawned countless variations of its tessellation. The Lean Canvas by Ash Maurya is the most popular variant of the Business Model Canvas.
The tessellated format of the Business Model Canvas has many advantages including the facilitation of collaborative visual presentation of business model ideas both horizontally (on a table) and vertically (on a wall). However, the tessellated template has 'straight-jacketed' how people think about the visual structure of a business model. A large majority of people now think that a tessellation is the only format for visually presenting a business model. Such thinking has serious disadvantages, for the topics of a business model are "nodes" that can be expressed in a wide variety of graphical formats such as in a chain, tree (Mind Map), and network.
In this presentation, the four nodes (Pain-Plan-Do-Review) of the Total Happiness Canvas or Pain-Plan-Do (PPDR) Cycle are presented using a family of visual templates: Chain; Macro-canvas; Tree; Network. The format of the Macro-canvas consists of 5 macro-blocks. There is strong structural correspondence between the visual format of the Macro-canvas and that of the Business Model Canvas which consists of 9 building blocks. The "Pain" block of the Macro-canvas can be decomposed into three blocks of the Business Model Canvas: Customer Segments; Customer Relationships; Channels. In a similar manner, the "Do" block can be decomposed into three blocks of the Business Model Canvas: Key Partners; Key Activities; Key Resources. The same decomposition principle applies to the Lean Canvas as well as other canvases.
By introducing flexibility and variation in visually presenting the topics that describe a business model, we can take advantage of the strengths of other visual templates while minimizing the inherent weakness of a tessellated format. Further, we can develop agility in visual communication by freely having conversations using different visual templates for business models.
Rapid Organizational Improvement (ROI): Instantly Xray Every For-Profit and N...Rod King, Ph.D.
Business modeling tools such as the Business Model Canvas and Lean Canvas are complex, expensive, and time-consuming to learn especially when modeling platforms (two/multisided markets). Consequently, such modeling tools are ill-suited for Non-Profit Organizations which are inherently platforms.
This presentation introduces the COPS Diamond ("Xray") technique which can be used to instantly model For-Profit Organizations as well as Non-Profit Organizations. Using the COPS Diamond saves organizations money, energy, and time especially in change management projects.
Business Model Canvas: GOOD TOOL with BAD INSTRUCTIONSRod King, Ph.D.
Alexander Osterwalder's Business Model Canvas is widely used by entrepreneurs around the world. It is a good tool. However, the Business Model Canvas is not great because it does not explicitly focus on solving the pain of stakeholders. In short, the Business Model Canvas is not a direct tool for pain (problem) solving.
The Business Model Canvas was originally conceived as a 'scorecard' for visually documenting a business model. Consequently, the Business Model Canvas is 'time agnostic:' it can be used for documenting past, present, and future business models. In theory, the Business Model Canvas is a visual synthesis of topics for comprehensively describing a business model or project.
Recognizing the deficit of the Business Model Canvas with regard to pain (problem) solving, several practitioners have tried to modify it as well as add complementary tools and processes. In his Customer Development Stack, Steve Blank adds the process of Customer Development to facilitate pain discovery. He also adds Agile Development (Lean Startup) Method to facilitate experimentation using hypotheses from a "Future (Hypothetical) Canvas."
Ash Maurya has modified building blocks of the Business Model Canvas to suit the mindset and language of "Lean Startup" entrepreneurs as well as directly include the paradigm of pain (problem) solving. Maurya includes building blocks such as for "Problem," "Solution," and "Key Metrics." However, Maurya's building blocks such as "Unfair Advantage" violate the system logic of the Business Model Canvas.
To date, many entrepreneurs are busy completing building blocks of the Business Model Canvas without a clear pain (problem) solving process. The Build-Measure-Learn Loop of the Lean Startup Method can be used with the Lean Canvas. However, to date the process has not been seamlessly integrated with the logic of the Business Model Canvas. So, what are we to do?
This presentation introduces the Pain-Plan-Do-Review (PPDR) Cycle which can be used with or without the Business Model Canvas. Housing the PPDR Cycle is the Community Happiness Canvas which focuses presenting a Pain Solving Question (PSQ) which is answered by using 8 topics of LIST: List of Innovate Salone Topics. The presentation shows correspondences between topics of the Business Model Canvas and Community Happiness Canvas. By using the PPDR Cycle of the Community Happiness Canvas in conjunction with the topics of the Business Model Canvas, entrepreneurs can rapidly solve the pains of stakeholders especially customers.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
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Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
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Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
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Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.