The document discusses an experiment testing the hypothesis that as organizations scale, the simple theories applied to a single team will remain the same across the entire enterprise. It found that as teams are decoupled from large projects and each focus on their own small backlogs and features, the theories do remain consistent at an enterprise level. The document concludes by thanking the readers for experimenting.
AmpleHarvest.org using technology to end hunger and food wastegaryoppenheimer
1) AmpleHarvest.org connects home gardeners who have excess produce with local food pantries to help address hunger and food waste issues.
2) It has helped over 6,700 food pantries nationwide receive locally grown fresh food donations by providing an online platform for gardeners to find nearby pantries to donate to.
3) The innovation solves an information chokepoint in the food system by moving information rather than food, using existing resources like home gardens, pantries, and technology without new infrastructure costs.
STC Summit 2015 Hypergraphics for visual-first helpDave Gardiner
This document discusses using SVG (Scalable Vector Graphics) and hypergraphics for technical communication. It provides examples of how SVG can be used with HTML, CSS, JavaScript and other technologies to create interactive online documentation and help systems. Benefits highlighted include creating mobile-first documentation, integrating illustrations and sketches, and restructuring information into task-based interfaces for improved usability. Challenges and considerations for implementation are also outlined.
AmpleHarvest.org using technology to end hunger and food wastegaryoppenheimer
1) AmpleHarvest.org connects home gardeners who have excess produce with local food pantries to help address hunger and food waste issues.
2) It has helped over 6,700 food pantries nationwide receive locally grown fresh food donations by providing an online platform for gardeners to find nearby pantries to donate to.
3) The innovation solves an information chokepoint in the food system by moving information rather than food, using existing resources like home gardens, pantries, and technology without new infrastructure costs.
STC Summit 2015 Hypergraphics for visual-first helpDave Gardiner
This document discusses using SVG (Scalable Vector Graphics) and hypergraphics for technical communication. It provides examples of how SVG can be used with HTML, CSS, JavaScript and other technologies to create interactive online documentation and help systems. Benefits highlighted include creating mobile-first documentation, integrating illustrations and sketches, and restructuring information into task-based interfaces for improved usability. Challenges and considerations for implementation are also outlined.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The Beatles were a famous rock band from Liverpool, Britain consisting of 4 members: Paul McCartney on bass, Ringo Starr on drums, George Harrison on guitar, and John Lennon on guitar and vocals. They formed in the late 1950s and gained popularity in Britain before their 1963 breakthrough in the US, where their song "She Loves You" took off. Their popularity skyrocketed globally, with crowds of thousands frequently greeting them at airports, marking the beginning of Beatlemania.
दक्षिण दिल्ली से बीजेपी उम्मीदवार रमेश विधूड़ी ने कैसे मनाई होली। देखें तस्वीरें VIJAY NEWS
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 causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
An outdoor adventure program for incoming first-year students at Elon University aimed to aid in developing leadership skills and facilitating the transition to college life. A study found that the 94.5% retention rate for students who participated was higher than the overall 90% retention rate and the 89.8% rate for non-participants. Developing positive relationships between faculty and student affairs professionals through social interactions like sharing meals and recognizing faculty contributions can help promote collaboration between academic and student affairs divisions.
A Review of the Medical Studies Act - Michael CoganAnthony Roth
The document discusses the Medical Studies Act (MSA) which protects certain medical peer review documents from discovery in medical malpractice lawsuits. It notes that while the MSA aims to improve healthcare quality, hospitals often exploit the privilege to withhold relevant documents. The summary discusses strategies for plaintiffs to obtain discoverable information, such as incident reports created before peer review committees are formed. Plaintiffs should scrutinize hospital claims of MSA protection and establish timelines of peer review processes. The document calls on readers to join a LinkedIn group to discuss strategies to address legal issues.
Read More: http://www.revitalagency.com/7-ways-to-get-your-ship-together/
I’m no different than anyone else. I get tired. I get stressed. Life gets chaotic and my poor office looks like a war zone. By the end of the day, there are so many items on my desk I barely have room for my laptop. And when I get home, all I want to do is plop down on my bed and sleep the night away – which never happens.
When life gets hectic and unmanageable, it’s time to take back control and get back to be productive and happy.
Here are some tips on how to stay organized at work and get back on track.
O documento anuncia um curso de domadores de leão ministrado pelo Prof. Oscar Lopes em março de 2014, fornecendo seus contatos como blog, Facebook e e-mail para mais informações.
Tom Peters at Transforming Work, Life, & Organizations conferencebizgurus
The document discusses concepts related to excellence and innovation in organizations. It provides examples of how organizations can:
1) Embrace change, diversity of thought, risk-taking and rapid experimentation to drive innovation. Mistakes and failures should be seen as opportunities to learn.
2) Pursue decentralization, clear goal-setting, accountability and rigorous execution to achieve strategic objectives.
3) Continually move up the value chain by shifting from goods to services, solutions, experiences, and transforming customers' organizations.
1) IBM's Watson computer defeated human champions on the game show Jeopardy, demonstrating its ability to answer open-domain questions with natural language.
2) Watson uses techniques like evidence-based scoring, parallel processing, and confidence-based responses to analyze questions, generate candidate answers, evaluate evidence, and determine a response.
3) Its success shows that question answering can advance through "grand challenges" that push technological limits, and suggests areas like open-domain search that could benefit from these techniques.
The document discusses John Koza, inventor of genetic programming, an approach to AI that allows computers to solve complex problems without human guidance. Koza's "invention machine" has earned patents and outperforms humans. The challenges going forward are deciding what problems to solve as solutions become plentiful and cheap. Genetic programming may provide insights into human creativity by combining familiar elements in new ways to drive innovation.
The document summarizes several academic papers on theory building from case studies. It discusses:
1) A paper that focuses on building theory from multiple cases and the challenges of research relying on rich qualitative data, proposing methods like theoretical sampling of cases to mitigate these challenges.
2) A paper that argues good theory results from rigorous methodology and comparative logic between multiple cases, not just good storytelling, as seen in classic case studies.
3) A response paper to the second paper, arguing its approach paradoxically includes attributes of hypothesis testing rather than theory generation, and emphasizes letting deep case studies tell good stories to build theory rather than creating constructs.
On January 16th, 2014, the Design For America Stanford Studio gathered to share their progress on topics including patients and pills, distracted driving, support for parents of children with autism, and others. This session was designed to design fast experiments to advance understanding of the problem space by testing assumptions and possible solutions.
This document discusses the economics of ideas, focusing on non-rivalrous and excludable goods like ideas. It introduces the concepts of rivalrous vs. non-rivalrous goods and how ideas are non-rivalrous but can be made excludable. This gives rise to increasing returns and imperfect competition in markets for ideas. The document also presents a basic Romer-style model of endogenous growth driven by increasing returns from new ideas. It questions whether growth will continue indefinitely and discusses challenges to US growth from factors like demographics, debt, and environmental constraints.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The Beatles were a famous rock band from Liverpool, Britain consisting of 4 members: Paul McCartney on bass, Ringo Starr on drums, George Harrison on guitar, and John Lennon on guitar and vocals. They formed in the late 1950s and gained popularity in Britain before their 1963 breakthrough in the US, where their song "She Loves You" took off. Their popularity skyrocketed globally, with crowds of thousands frequently greeting them at airports, marking the beginning of Beatlemania.
दक्षिण दिल्ली से बीजेपी उम्मीदवार रमेश विधूड़ी ने कैसे मनाई होली। देखें तस्वीरें VIJAY NEWS
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 causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
An outdoor adventure program for incoming first-year students at Elon University aimed to aid in developing leadership skills and facilitating the transition to college life. A study found that the 94.5% retention rate for students who participated was higher than the overall 90% retention rate and the 89.8% rate for non-participants. Developing positive relationships between faculty and student affairs professionals through social interactions like sharing meals and recognizing faculty contributions can help promote collaboration between academic and student affairs divisions.
A Review of the Medical Studies Act - Michael CoganAnthony Roth
The document discusses the Medical Studies Act (MSA) which protects certain medical peer review documents from discovery in medical malpractice lawsuits. It notes that while the MSA aims to improve healthcare quality, hospitals often exploit the privilege to withhold relevant documents. The summary discusses strategies for plaintiffs to obtain discoverable information, such as incident reports created before peer review committees are formed. Plaintiffs should scrutinize hospital claims of MSA protection and establish timelines of peer review processes. The document calls on readers to join a LinkedIn group to discuss strategies to address legal issues.
Read More: http://www.revitalagency.com/7-ways-to-get-your-ship-together/
I’m no different than anyone else. I get tired. I get stressed. Life gets chaotic and my poor office looks like a war zone. By the end of the day, there are so many items on my desk I barely have room for my laptop. And when I get home, all I want to do is plop down on my bed and sleep the night away – which never happens.
When life gets hectic and unmanageable, it’s time to take back control and get back to be productive and happy.
Here are some tips on how to stay organized at work and get back on track.
O documento anuncia um curso de domadores de leão ministrado pelo Prof. Oscar Lopes em março de 2014, fornecendo seus contatos como blog, Facebook e e-mail para mais informações.
Tom Peters at Transforming Work, Life, & Organizations conferencebizgurus
The document discusses concepts related to excellence and innovation in organizations. It provides examples of how organizations can:
1) Embrace change, diversity of thought, risk-taking and rapid experimentation to drive innovation. Mistakes and failures should be seen as opportunities to learn.
2) Pursue decentralization, clear goal-setting, accountability and rigorous execution to achieve strategic objectives.
3) Continually move up the value chain by shifting from goods to services, solutions, experiences, and transforming customers' organizations.
1) IBM's Watson computer defeated human champions on the game show Jeopardy, demonstrating its ability to answer open-domain questions with natural language.
2) Watson uses techniques like evidence-based scoring, parallel processing, and confidence-based responses to analyze questions, generate candidate answers, evaluate evidence, and determine a response.
3) Its success shows that question answering can advance through "grand challenges" that push technological limits, and suggests areas like open-domain search that could benefit from these techniques.
The document discusses John Koza, inventor of genetic programming, an approach to AI that allows computers to solve complex problems without human guidance. Koza's "invention machine" has earned patents and outperforms humans. The challenges going forward are deciding what problems to solve as solutions become plentiful and cheap. Genetic programming may provide insights into human creativity by combining familiar elements in new ways to drive innovation.
The document summarizes several academic papers on theory building from case studies. It discusses:
1) A paper that focuses on building theory from multiple cases and the challenges of research relying on rich qualitative data, proposing methods like theoretical sampling of cases to mitigate these challenges.
2) A paper that argues good theory results from rigorous methodology and comparative logic between multiple cases, not just good storytelling, as seen in classic case studies.
3) A response paper to the second paper, arguing its approach paradoxically includes attributes of hypothesis testing rather than theory generation, and emphasizes letting deep case studies tell good stories to build theory rather than creating constructs.
On January 16th, 2014, the Design For America Stanford Studio gathered to share their progress on topics including patients and pills, distracted driving, support for parents of children with autism, and others. This session was designed to design fast experiments to advance understanding of the problem space by testing assumptions and possible solutions.
This document discusses the economics of ideas, focusing on non-rivalrous and excludable goods like ideas. It introduces the concepts of rivalrous vs. non-rivalrous goods and how ideas are non-rivalrous but can be made excludable. This gives rise to increasing returns and imperfect competition in markets for ideas. The document also presents a basic Romer-style model of endogenous growth driven by increasing returns from new ideas. It questions whether growth will continue indefinitely and discusses challenges to US growth from factors like demographics, debt, and environmental constraints.
Similar to Agile india 2014: The Enterprise Experiment! (6)
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
4. Hypothesis
As we scale, then the simple theories applied to a
single team will remain the same across the
Enterprise.
“The scientist tragedy of Science — the slaying of a beautiful
The great is not a person who gives the right
answers, he's one an ugly fact. right questions.”
hypothesis by who asks the
― Claude Lévi-Strauss
- Thomas Henry Huxley
10. One team ---> One Project
Multiple teams
De-couple teams from Large Projects
Project
F
Value
Project
E
Value
One Backlog
Feature
B
Feature
Feature
B
Feature
C
Feature
C
C
Feature
A
Feature
A
Project
A
Feature
A
Feature
A
Feature
B
Project
Feature
B
B
Feature
B
Feature
C
Project
Feature
C
C
Value
Project
D
Value
Large Item Backlog
How many of you have experienced a success with introducing Agile into a single team. So you’ve probably didn’t get it right first time, I bet you tried lots of different experiments to make it a success. And just like a single team as we introduce Agile across the Enterprise we need to experiment to make it a success.What we are going to show through some scientific and not so scientific experiments ….. are the observations and questions that we are constantly seeing and asking when we start to scale agile in the enterprise! With these observations and questions you’ll leave with a different perspective on the way you think about agile at scale. So like any good scientist we have a Hypothesis<CLICK>
As we scale, then the simple theories applied to a single team will remain the same across the Enterprise.Explain the hypothesis…. Single TeamWe have simple theories (this is an explanation of single team only – no comparison with multiple teams)Collaborate with the customerUnderstand capacity and flow so that we are able to negotiate with our stakeholdersWe work on highest value items first to deliver earlyWe create an environment that nurtures empowerment, learning and a self managingWell when you Scale at Agile … Can't we just scale the single team model? Why can’t it be simple?So let’s show you what we mean by a simple experimentShow items for experiment do experimentSimon can you put 5 seconds on the clock please.
On my mark Simon … start the clock
What works with one team works with many- Experiment output - MIKEOnce we understand capacity and its consistent we use this data to plan the backlog and negotiate with our customer. There is no reason that the simple theory of understanding capacity can not be applied to the EnterpriseThe simple theory of collaborating with the customer with a single team can be applied across the Enterprise.The simple theory of building and delivering the highest value items first remains the same across the EnterpriseThere should be no reason that the simple theory of creating a self empowered, self learning, collaborative, trusting culture for a single team should not occur in the Enterprisetime and time again we have seen and experienced difficulties when applying these simple theories across the Enterprise and we have been continually running experiments to work out why.Now like any good scientist we have tried to prove our hypothesis…...HUXLEY - Not slayed it yetLEVI - Not going to give you all the answers but you should be able to leave with ideas of what questions to ask.Transition: Let’s take a look at the theory behind proving this hypothesis….
“Do you remember this?” – presented a number of times to senior mgt.We have gone ahead and try the theoryExplain very quickly the theory (We have large items, unpacked……. )It’s Simple Right? <Click>Lets go back to when we took those 1st few steps in introducing Agile and we started the 1st Agile team.Not too risky projectHandpicked teamWe nurture the team to encourage collaboration, self-organizingWe make sure it has what it needs to succeedWhat happens then … “I want some of that … lets make more agile teams!!”Transition: So let’s take a look at how we spin up teams…
Our decision to try agile is now changing the way we work and build productsWe are using words like …. Co-location, cross functional, communication, collaboration, community, empowerment, knowledge share.We spend a lot of energy embedding these ideas into the first few Agile teams we set-up . So, when we scale and start creating lots of teams … do we really put the energy into every team? Do we really think about a team having its own culture or are we still thinking that it’s just a resource on a seat with a skill. Let’s do an experiment about this…LETS DO THE EXPERIMENT…… just having the relevant technical and process skills in your workforce is not enough, we also need to take into account the team dynamics, will the person fit?Describe a REAL WORLD – Nokia Music and way the recruited … Involving team in selection process, HR, personality tests, etc …Question-mark– So the question we ask ourselves when we start to scale is are we thinking about bringing the right person into a team and setting each team up for success?Who is really making the decision about bringing the right one in?Just like we do with a single team where we actively work to create an environment where the team can decide, where the team knowledge share and collaborate. So we work to support this thinking across the enterprise. This we do are: Rock-upsMy storyVideo clubsReading clubsABW Communities of practiceTransition: Ok so now we have things in place that nurture the culture that we want…. And we have focused on spinning up the teams on mass but are the teams building the right things, are the teams close to their customers?
So lets look at what we like to call ‘golf course to cash’. Which we break-up into … Idea, build, release.Explain- IDEA – off the golf course …. BUILD – Now with a development team …. RELEASE – Well … it’s released into production.Describe theory of a single team … off Golf course, short build phases, feedback, play golf, repeat.Simple right? We are close enough to the customer … so we don’t have to wait long for ideas to get to Done. What happens when we scale? What happens to that idea, feedback and speed of getting idea to done?Describe a REAL WORLD - What we generally see is most of the energy is put into the Build and Release phase, I know that’s what I have been doing in the past. When we scale up teams we really concentrate on (TDD, Pairing, cont. delivery, good Scrum and XP practices), always pushing the boundary with our delivery teams. But … how much effort do we put into the idea phase? How easy is it to get a valuable idea from the golf course to the teams …?In the enterprise … we usually have to negotiate things like, approvals, 12 month portfolio planning, large business case, funding steercos, all this heavy governance and red tape just to get an idea into a team to start experiment with the idea.We’ve got to negotiate WHAT WE CALL ‘The organisational IDEA maze’QUESTION MARK – So the question we ask ourselves when we start to scale is … Are we close to our customer and are we able to adapt quickly to those ideas coming off the Golf course?Have we thought about the flow of work so the teams can pull the highest value items?Have we changed or even considered the Organisational idea Maze?Some things to watchout for ….. ???!?!??!?Is there still a hand off between IDEA and BUILD? - a contract negotiation from stakeholder passing accountability to the teams and PMs?have we changed the way we report to and communicate to our stakeholders and customers? Do we still complain about ‘scope creep’? Do we hear ‘Your estimates are in-correct’? Are we still asked to agree on what we will build, by when and exactly by how much cost before we can start? Do we value the success of a project on delivery of all scope on time and within budget … or do we value delivering something the customer actually wants?Do we still create teams around projects and then Dissolve them when the project ends. All that energy forming the team and getting it to a state of performing and then its dissolved.Generally we see a clash in the way we work in build and release and the way we continue to work in the Idea phase. What we’ve learnt is that we need to take a holistic view from the golf course to the cash. – one of the things we have learned is to spend much more time looking at the Idea phase.Transition: So we have looked at the questions that come up about being close to our customer when we scale… let’s take a look at how else we are hindered by this organizational IDEA maze
Message: We ring fence our budgets around a project.Explain the experimentOne of the big advantages of working in this new way is that we can regularly build potentially releasable increments of a product. Short build time and so ability to release earlyIf we can release early and we can start generate value return.It’s very simple theory<Do Experiment> -What do we do when we start a project – We get our investment approval (it’s in the money to spend pot)We have a list of features to deliver … usually we agree some form of scope to get the budget.So now we’ve introduced some props … I think we should do an experiment…..Results:Well We delivered Value … But we didn’t manage every feature we though we were going to deliver.High value features are still in the pot … lets build them. We can’t because the project budget Pot is empty. But wait …. we have some return in this pot?Different pot mate! To get these high value veatures done … you are going to have to go back through he organisation IDEA mazeWe all know about delivering value early …. But there are things that hold us back…!Even though we have a return .. .we see time and time again that the return is not our main delivery focus.TELL STORY<CLICK> questions – So this is the question we keep asking ourselvesSo if I am the customer am I going to try and maximise the amount of value for the money I spend … or am I aiming to maximise the amount of features that get built. Are we aiming to maximise value or are we working to maximise the number of features delivered?Why are we not focused on maximizing value.Is it because I have finally negotiated the idea maze … now I have my project time in the limelight … I am going to ensure I deliver the most amount of features for the money I have in the spend pot and not necessarily maximise the amount returned to enterprises value pot.<Transition> Now imagine this with multiple projects … all wanting to spend their money on all their features?Are we sure all delivery teams are working on the highest value items across the whole of the enterprise?
Remember the single team theoryJust like any backlog, we order it with the customer and stakeholders and the team pull the highest value items from the top. It’s Simple, Right?When we say ‘Highest Value’ what is needed right now for the organisation. Example – Products re-open feature. Is that needed for day one of the new product launch? Do we think the right priority based on right thing at right time … or are we thinking build all this scope in a promised timeframe?
Project A down to the bottomJust like single team, we order the backlog and decompose.Mention.linking teams to projectsMention decouple teams from projectsCapacity and flow of work into teams … Show Funnels with RiceMaking decisions on what is needed … not what has been promised.We have multiple teams all pulling off the top of the Backlog and delivering the highest value items for the organization.Just as with single teams we are always looking at the backlog, we’re thinking across multiple initiativesTypically off the portfolio we prioritise based on projects but to be able to prioritise on highest value and what’s needed now by our customer we need to look at smaller granularity than a project … we have to be thinking small across the enterprise.
We are Thinking SmallWe are experiencing the benefits of thinking small, we’re getting small high value items out the door just as we would with a single team.Other BenefitsWe see the teams looking along the backlog and merge the delivery of items across features. Just as we would with a single teamKnowledge share of initiatives, just as we would with a single teamQuestion: So what questions are we asking ourselves….Are we thinking small enough to allow us to order things together across the enterprise?Even when we are thinking small and order things together is it possible to think outside of the usual project constraints? Do we still work on fixed scope, Budgets and end dates around projects? What are the KPIs – Measurement, of success … Is it still on delivery of scope on time and to budget?Do we plan on what is needed right now for the organisation or the promised project scope??INPUT THE BACKLOG EXAMPLE!!!! – Build the right thing now.So we are still trying to prove our hypothesis.
What are our conclusions and findings?What we have shown you today are Some of our observations as we try and prove our hypothesis and the questions that arise from running those experiment.We still believe our hypotheses rings true and the simple theories applied to one team remain the same across the enterprise …But as we’ve shown you we continue to surface issues as we experiment.So …. There is One thing we do know we have proved beyond doubt …….. that the simple theory of surfacing problems, dysfunctions and impediments in a single team remain the same as we scale in the Enterprise LessonsWhen you need answers to some of the questions you will no doubt need to experimentSo we’ll end this session with some questions to you…..When you go back to your enterprises What experiments are you going to run to provide the right culture for your teams? … Let the Right one inWhat experiments are you going to run so you work closer with your customers? … Golf course to cashWhat experiments are you going to run so that you know that you are maximizing value rather than maximizing delivery of features? … Pot to PotWhat experiments are you going to run so that you know you are delivering the highest value across the enterprise? … Think smallSome final advice ….. To be successful when experimenting … before you run any experiments you should always be able to know why you are running them and what hypothesis you are trying to prove. THE END!!