This presentation accompanied a talk at the Interaction 21' conference. Integrating systems thinking into the design thinking process to account for unintended consequences.
Systems Thinking For the Rest of Us - Tobias Fors - Let's Test 2013Holifant
This document discusses systems thinking and its importance. It encourages visualizing problems and situations as systems using "org doodling" to map out involved people, tools, interactions and relationships. Systems thinking views behavior as arising from structures within systems rather than individual parts. Improving parts individually may not improve the whole system, as the performance arises from interactions between parts. The document suggests discussing problems with partners to identify key interactions and gain new insights into causes and solutions.
11 Digital Transformation Quotes To Lead Change & Inspire Actionkintone
Digital transformation is a ubiquitous, sometimes confusing phrase appearing everywhere these days from conference sessions to consulting groups. Whether you consider it an exhausted buzzword or an evolving disruptive trend, it can't be ignored.
This document discusses the health risks of excessive sitting and the growing popularity of standing desks. It finds that sitting for long periods increases the risk of cardiovascular disease and metabolic issues. Many tech companies like Facebook, Google and AOL now offer standing desks to employees. However, existing standing desk options are too expensive, lacking in design and benefits. The timing is right for an affordable, collaborative and functional standing pod suited for 21st century workplaces that value openness, flexibility and collaboration. The conclusion encourages readers to stand rather than sit.
Product Management Ethics in A.I. by Yammer's former Dir. of ProductProduct School
From maximizing the crave-ability of food additives to notification addiction, Product Managers have a profound impact on society. In the not too distant future, a number of those Product decisions will be delivered by artificial intelligence. In this talk, we discussed ethical lessons from the history of Product Management and how we can learn from them to build ethical AI.
Former Director of Product at Yammer also talked about how to understand data quality, biases, and potential impacts, and learn what your self-driving car will do when it encounters The Trolley Problem.
Systems analysis involves analyzing systems to identify problems and design solutions to meet user needs more efficiently. It follows a process from research to evaluation. Systems analysts help businesses and companies by finding issues and developing innovative fixes. The author predicts that systems analysis will be in higher demand as technology advances rapidly and systems must continuously improve. Solutions may even replace human labor. Systems analysis will also exist if technology stops advancing but technology cannot progress without systems analysis. Apple is provided as an example that continually refines its systems to stay competitive. In conclusion, systems analysis will always be necessary to enhance existing systems for user convenience and efficiency.
This document presents a maturity model for artificial intelligence adoption in enterprises. It outlines four stages of maturity: exploring, experimenting, formalizing, and integrating. It also discusses four macro trends affecting AI success: the shift from screen-based to sensory interactions; from rules-based to probabilistic decision making; from data analytics to data engineering; and from expertise-driven to data-driven leadership. Key aspects of maturity include having a data strategy, using AI in product development, establishing ethics principles, and integrating AI throughout the organization.
The document discusses system analysis, design, and development. It introduces systems concepts and different approaches to system development. It discusses why system analysis is important for solving organizational problems, defining the key elements of a system, and different types and classifications of systems. The document also covers system language and modeling, and why methodologies are needed for system development given increasing complexity. It contrasts "hard" and "engineering" approaches to system thinking with "soft" methodologies that are more appropriate for social systems.
Agile Practices and Design Thinking.pptxtosoyo4069
The document discusses key concepts in systems thinking and agile practices. It provides an overview of systems thinking principles like interconnectedness, synthesis, emergence, feedback loops and causality. It also describes the iceberg model in systems thinking which looks at events, trends, structures and mental models. The document then discusses value chain analysis and its use in understanding how activities within an organization add value. It outlines the value chain for software development and discusses capability optimization using the Capability Maturity Model. Finally, it covers the evolution and core values of agile methodology and lists the twelve principles of the Agile Manifesto.
Systems Thinking For the Rest of Us - Tobias Fors - Let's Test 2013Holifant
This document discusses systems thinking and its importance. It encourages visualizing problems and situations as systems using "org doodling" to map out involved people, tools, interactions and relationships. Systems thinking views behavior as arising from structures within systems rather than individual parts. Improving parts individually may not improve the whole system, as the performance arises from interactions between parts. The document suggests discussing problems with partners to identify key interactions and gain new insights into causes and solutions.
11 Digital Transformation Quotes To Lead Change & Inspire Actionkintone
Digital transformation is a ubiquitous, sometimes confusing phrase appearing everywhere these days from conference sessions to consulting groups. Whether you consider it an exhausted buzzword or an evolving disruptive trend, it can't be ignored.
This document discusses the health risks of excessive sitting and the growing popularity of standing desks. It finds that sitting for long periods increases the risk of cardiovascular disease and metabolic issues. Many tech companies like Facebook, Google and AOL now offer standing desks to employees. However, existing standing desk options are too expensive, lacking in design and benefits. The timing is right for an affordable, collaborative and functional standing pod suited for 21st century workplaces that value openness, flexibility and collaboration. The conclusion encourages readers to stand rather than sit.
Product Management Ethics in A.I. by Yammer's former Dir. of ProductProduct School
From maximizing the crave-ability of food additives to notification addiction, Product Managers have a profound impact on society. In the not too distant future, a number of those Product decisions will be delivered by artificial intelligence. In this talk, we discussed ethical lessons from the history of Product Management and how we can learn from them to build ethical AI.
Former Director of Product at Yammer also talked about how to understand data quality, biases, and potential impacts, and learn what your self-driving car will do when it encounters The Trolley Problem.
Systems analysis involves analyzing systems to identify problems and design solutions to meet user needs more efficiently. It follows a process from research to evaluation. Systems analysts help businesses and companies by finding issues and developing innovative fixes. The author predicts that systems analysis will be in higher demand as technology advances rapidly and systems must continuously improve. Solutions may even replace human labor. Systems analysis will also exist if technology stops advancing but technology cannot progress without systems analysis. Apple is provided as an example that continually refines its systems to stay competitive. In conclusion, systems analysis will always be necessary to enhance existing systems for user convenience and efficiency.
This document presents a maturity model for artificial intelligence adoption in enterprises. It outlines four stages of maturity: exploring, experimenting, formalizing, and integrating. It also discusses four macro trends affecting AI success: the shift from screen-based to sensory interactions; from rules-based to probabilistic decision making; from data analytics to data engineering; and from expertise-driven to data-driven leadership. Key aspects of maturity include having a data strategy, using AI in product development, establishing ethics principles, and integrating AI throughout the organization.
The document discusses system analysis, design, and development. It introduces systems concepts and different approaches to system development. It discusses why system analysis is important for solving organizational problems, defining the key elements of a system, and different types and classifications of systems. The document also covers system language and modeling, and why methodologies are needed for system development given increasing complexity. It contrasts "hard" and "engineering" approaches to system thinking with "soft" methodologies that are more appropriate for social systems.
Agile Practices and Design Thinking.pptxtosoyo4069
The document discusses key concepts in systems thinking and agile practices. It provides an overview of systems thinking principles like interconnectedness, synthesis, emergence, feedback loops and causality. It also describes the iceberg model in systems thinking which looks at events, trends, structures and mental models. The document then discusses value chain analysis and its use in understanding how activities within an organization add value. It outlines the value chain for software development and discusses capability optimization using the Capability Maturity Model. Finally, it covers the evolution and core values of agile methodology and lists the twelve principles of the Agile Manifesto.
What regulation for Artificial Intelligence?Nozha Boujemaa
Should we regulate Artificial Intelligence? What are the challenges to face bias in data and algorithms? What is trustworthy AI? AI HLEG (European Commission) and AIGO (OECD) feedback experiences and recommendations. Example in precision medicine: AI/ML for medical devices
Better Living Through Analytics - Strategies for Data DecisionsProduct School
Data is king! Get ready to understand how a successful analytics team can empower managers from product, marketing, and other areas to make effective, data-driven decisions.
Louis Cialdella, a data scientist at ZipRecruiter, shared some case studies and successful strategies that he has used at ZipRecruiter as well as previous experiences. The purpose of this data talk was to enlighten people on how to make sure that analysts can successfully partner with other departments and get them the information they need to do great things.
Our active intelligence solution not only allows you to maintain a continuous monitoring of different sources of information, but also to visualize, analyze, find correlations and to be notified as soon as a new trend is detected in your preferred domains.
* Marketing and sales: Track websites, RSS and Twitter accounts all over the world, in 3 languages, and visualize trends graphically,
* Innovation, IoT, research and development: rapid detection of new keywords, word combinations (names, country / city, personalities, business names) which are creating a "buzz",
* Regulations, laws: be the first to analyze the new regulatory trends that might impact your industry, even if the new law is published far from your current markets.
* Health, reputation, risks: BLINK can recognize and alert you to the risks that Twitter is starting to spread in a particular area long before this risk reaches any of the mass media sites.
BLINK allows you to create automated newsletter, in order to share findings, news articles and search results.
Based on Natural Language Recognition (NLP) technology, and using artificial intelligence to quickly "learn" about your interests, BLINK requires only an Internet access though any browser.
No software to install, it requires just two hours of training and another couple of hours to set up your sources and folders. Monthly subscription, competitive rates.
An introduction to Agile Organisational ModelPierre E. NEIS
The document proposes an Enterprise Scrum model as an organizational framework for managing companies as complex adaptive systems. The model extends Scrum principles to an enterprise level by dividing work into value streams for value creation, research and development, and business as usual tasks. Teams work within a "safe-to-fail container" to deliver value through short iterations. Their work is aligned at monthly portfolio reviews to ensure coherence with the company's goals. The model aims to foster business agility, faster change, and innovation across all parts of the organization.
Short, basic introduction on Test Heuristics and Mnemonics, using "FEW HICCUPPS" and the Touring Heuristics ("FCC CUTS VIDS") as examples.
Presented on 08th June 2015 at the Software Testing Club Meetup in Cambridge.
The document provides information about the Circular Design Case, which is a learning experience and design competition to help designers create products, services, and systems for the circular economy. It outlines the submission requirements, which include a system map of an everyday product highlighting 3 circular opportunities, and a "One question for systems change" template. The judging criteria and timeline are also mentioned. Additional resources are provided to help participants learn about circular design and systems thinking through videos, diagrams, and examples.
When building digital products and services, we are designing complex systems.We need to think the customer experience through on several channels, figure out the system architecture, gain understanding through data and research, decide what to iterate... - not easy, but fun!
In this keynote talk given at Agile Cambridge 2016, Johanna introduces core systems thinking principles for designing better services, discussed how data and feedback mechanisms help us understand what is going on in a system, and addressed the challenge of bringing about change in a system.
Ontonix Complexity Measurement and Predictive Analytics WP Oct 2013Datonix.it
Breakthrough analytics for your business. Ontonix model-free and patented technology is used for advanced BI, Risk and Business Governance Management. Discover the big picture from all structured business process and discover the hidden fragility an what your options are to fix it.
Do not measure the wrong KPI - we automatically discover the native and intrinsic key performance indicators for you.
Systems thinking views problems as interconnected parts of a whole system rather than isolated events. It examines how local actions can impact the overall system and promotes organizational communication to avoid unintended consequences. A systems approach incorporates concepts like interdependence, holism, goal seeking, inputs/outputs, and feedback regulation. Businesses can be analyzed as internal systems that transform inputs like capital, labor, and resources into outputs through functional processes. They also interact with multiple levels of external environmental systems from political/legal forces to competitors to social/cultural influences that provide opportunities and threats.
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...James Anderson
GDG Cloud Southlake #28: Brad Taylor and Shawn Augenstein: Old Problems in the New Frontiers of AI
• Brad discusses how decades-old laws and expanding regulation have new implications in the ML and Large Model age, and will touch on:
• Legal and Regulatory: Data usage rights, cautionary tale of stability.ai and Getty Images, EU's planned expansion of GDPR re models
• How Neural Networks, zero and one-shot learning, and LLMs have increased the need for better data governance, lineage management
• Shawn speaks on the coming "Data Renaissance"
• The New IP: Prompts and Internatl Interaction Data
• Where GenAI can be used right now and where it maybe shouldn't be used yet
• The Power of the Diversity of Insight
• What is making the future look bright!
Brad has been an intrapreneur and entrepreneur in data, AI, and IoT and has led teams in the creation of NLP, data products and predictive analytics for retention, churn, driver safety, traffic, CX and fleet risk. He has built solutions on global hyperscalers GCP, AWS, Azure, and IBM. Brad is a former founding partner at Tech Wildcatters, and worked with dozens of mobile, SaaS and AI start-ups, many of which became both job creators and profitable exits for TW investors. He is currently a Senior Manager in Pepsico's global Strategy and Transformation group, where he focuses on delivering AI/ML driven solutions.
Shawn Augenstein is a dynamic and highly experienced professional, who is driven by educating, providing equal access to technology and equitable access to information. Currently, Shawn serves as Principal Data & AI Consultant at CDW, where he develops the curriculum and architectures for understanding and furthering the use of AI, as well as developing solutions for both partners and clients. In his spare time, he enjoys exploring new frontiers of Diffusers, capturing moments through photography, and listening to music as a passionate melophile.
What AI Means For Your Product Strategy And What To Do About ItVMware Tanzu
The document summarizes Matthew Quinn's presentation on "What AI Means For Your Product Strategy And What To Do About It" at Denver Startup Week 2023. The presentation discusses how generative AI could impact product strategies by potentially solving problems companies have ignored or allowing competitors to create new solutions. Quinn advises product teams to evaluate their strategies and roadmaps, ensure they understand user needs, and consider how AI may change the problems being addressed. He provides examples of how AI could influence product development for apps in home organization and solar sales. Quinn concludes by urging attendees not to ignore AI's potential impacts and to have hard conversations about emerging threats and opportunities.
This document discusses two models that organizations use - the Purpose-Systems model which focuses on goals and outputs, and the Behaviour-Meaning model which connects employee behaviors to personal meaning. These models often operate in isolation, leading to issues. The document proposes connecting the two models at a "Convergence Point" to better understand current realities and engage employee behaviors productively. This requires leaders to ask difficult questions to synchronize the models. In a complex world where customer expectations change, overreliance on compliance systems through the Purpose-Systems model can alienate frontline employees and ignore changing realities.
-- The Cognitive Engine - 10RULE WHITE PAPERGary Morais
The document discusses the concept of a cognitive engine and argues that true cognitive technology involves identifying the underlying algorithms or "performance thinking" that drive human behavior and productivity, rather than just analyzing aggregated behavioral data. It proposes that developing technologies that can emulate these cognitive algorithms/performance drivers could lead to applications that automate and improve business processes, uncover new insights, and predict and enhance human performance and outcomes. The authors believe this approach represents the next generation of cognitive technologies and has significant potential to transform businesses and drive innovation.
Systems thinking views problems as parts of interconnected systems rather than isolated issues. It examines the relationships and interactions between system elements to understand why problems persist. Seeing systems holistically can reveal feedback cycles and delays that maintain problems. Systems thinking helps identify unintended impacts of solutions and shows how seemingly isolated issues are often interconnected. It is used in fields like engineering, healthcare, and management to better understand and optimize complex systems and problems.
In the next normal, the Internet of Things is the default production environment, and because of the autonomy, diversity and pervasiveness of its actors, the business cannot focus management on being a supply manager of I.T. -- instead it must be a highly competent demand manager of the information used by things - the technology's information.
This module discusses the steps to analyze a safety management system (SMS):
1. Conduct a baseline survey to analyze the overall system.
2. Narrow the focus to analyze each SMS component like commitment, accountability, etc.
3. Conduct cause analysis to identify surface symptoms and underlying root causes impacting SMS performance.
OAC is testing new product features using split testing and cohort analysis to better understand what members want. This revealed that members preferred solo study options over social tools, contrary to the team's assumptions. Regular reporting of experimental results in accessible formats helps the team learn and prioritize development based on what improves member outcomes. Relying only on vanity metrics like total users could mislead the team about the product's sustainability and effectiveness.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Analysis the solution or planning, meeting with the employees, clients, consultants how the product would be better than the competitors. After studying the information we have the choose one of these three option: how can develop the system, how can improve the current system or if any of these two are not possible than leave the system. Planning stage is the preliminary step for a successful system, at first we have to detect the problems how we solve it and what we want to do, the objectives and the resources, required cost etc. System design is the second step in the system. Here a feasibility study is needed to recognize the requirements of the end user’s i.e. customers, what are the expectations of them for the system. It is very vital to maintain a strong communication with the customers. Ensure that the finished product can fulfil its required level and its function. Design phases arise after the good understanding with the customer; it defines the elements of a system, the security level and the different types of data which are necessary for the system. A general system design may be complete with pen-paper work. After the designing phase the system required an implementation process. In the phases the system fulfil the customer promises, now the system is ready to running, training may be required or not. This phase may be takes a long time, that’s depends on the complexity of the system.
Explore the essential graphic design tools and software that can elevate your creative projects. Discover industry favorites and innovative solutions for stunning design results.
What regulation for Artificial Intelligence?Nozha Boujemaa
Should we regulate Artificial Intelligence? What are the challenges to face bias in data and algorithms? What is trustworthy AI? AI HLEG (European Commission) and AIGO (OECD) feedback experiences and recommendations. Example in precision medicine: AI/ML for medical devices
Better Living Through Analytics - Strategies for Data DecisionsProduct School
Data is king! Get ready to understand how a successful analytics team can empower managers from product, marketing, and other areas to make effective, data-driven decisions.
Louis Cialdella, a data scientist at ZipRecruiter, shared some case studies and successful strategies that he has used at ZipRecruiter as well as previous experiences. The purpose of this data talk was to enlighten people on how to make sure that analysts can successfully partner with other departments and get them the information they need to do great things.
Our active intelligence solution not only allows you to maintain a continuous monitoring of different sources of information, but also to visualize, analyze, find correlations and to be notified as soon as a new trend is detected in your preferred domains.
* Marketing and sales: Track websites, RSS and Twitter accounts all over the world, in 3 languages, and visualize trends graphically,
* Innovation, IoT, research and development: rapid detection of new keywords, word combinations (names, country / city, personalities, business names) which are creating a "buzz",
* Regulations, laws: be the first to analyze the new regulatory trends that might impact your industry, even if the new law is published far from your current markets.
* Health, reputation, risks: BLINK can recognize and alert you to the risks that Twitter is starting to spread in a particular area long before this risk reaches any of the mass media sites.
BLINK allows you to create automated newsletter, in order to share findings, news articles and search results.
Based on Natural Language Recognition (NLP) technology, and using artificial intelligence to quickly "learn" about your interests, BLINK requires only an Internet access though any browser.
No software to install, it requires just two hours of training and another couple of hours to set up your sources and folders. Monthly subscription, competitive rates.
An introduction to Agile Organisational ModelPierre E. NEIS
The document proposes an Enterprise Scrum model as an organizational framework for managing companies as complex adaptive systems. The model extends Scrum principles to an enterprise level by dividing work into value streams for value creation, research and development, and business as usual tasks. Teams work within a "safe-to-fail container" to deliver value through short iterations. Their work is aligned at monthly portfolio reviews to ensure coherence with the company's goals. The model aims to foster business agility, faster change, and innovation across all parts of the organization.
Short, basic introduction on Test Heuristics and Mnemonics, using "FEW HICCUPPS" and the Touring Heuristics ("FCC CUTS VIDS") as examples.
Presented on 08th June 2015 at the Software Testing Club Meetup in Cambridge.
The document provides information about the Circular Design Case, which is a learning experience and design competition to help designers create products, services, and systems for the circular economy. It outlines the submission requirements, which include a system map of an everyday product highlighting 3 circular opportunities, and a "One question for systems change" template. The judging criteria and timeline are also mentioned. Additional resources are provided to help participants learn about circular design and systems thinking through videos, diagrams, and examples.
When building digital products and services, we are designing complex systems.We need to think the customer experience through on several channels, figure out the system architecture, gain understanding through data and research, decide what to iterate... - not easy, but fun!
In this keynote talk given at Agile Cambridge 2016, Johanna introduces core systems thinking principles for designing better services, discussed how data and feedback mechanisms help us understand what is going on in a system, and addressed the challenge of bringing about change in a system.
Ontonix Complexity Measurement and Predictive Analytics WP Oct 2013Datonix.it
Breakthrough analytics for your business. Ontonix model-free and patented technology is used for advanced BI, Risk and Business Governance Management. Discover the big picture from all structured business process and discover the hidden fragility an what your options are to fix it.
Do not measure the wrong KPI - we automatically discover the native and intrinsic key performance indicators for you.
Systems thinking views problems as interconnected parts of a whole system rather than isolated events. It examines how local actions can impact the overall system and promotes organizational communication to avoid unintended consequences. A systems approach incorporates concepts like interdependence, holism, goal seeking, inputs/outputs, and feedback regulation. Businesses can be analyzed as internal systems that transform inputs like capital, labor, and resources into outputs through functional processes. They also interact with multiple levels of external environmental systems from political/legal forces to competitors to social/cultural influences that provide opportunities and threats.
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...James Anderson
GDG Cloud Southlake #28: Brad Taylor and Shawn Augenstein: Old Problems in the New Frontiers of AI
• Brad discusses how decades-old laws and expanding regulation have new implications in the ML and Large Model age, and will touch on:
• Legal and Regulatory: Data usage rights, cautionary tale of stability.ai and Getty Images, EU's planned expansion of GDPR re models
• How Neural Networks, zero and one-shot learning, and LLMs have increased the need for better data governance, lineage management
• Shawn speaks on the coming "Data Renaissance"
• The New IP: Prompts and Internatl Interaction Data
• Where GenAI can be used right now and where it maybe shouldn't be used yet
• The Power of the Diversity of Insight
• What is making the future look bright!
Brad has been an intrapreneur and entrepreneur in data, AI, and IoT and has led teams in the creation of NLP, data products and predictive analytics for retention, churn, driver safety, traffic, CX and fleet risk. He has built solutions on global hyperscalers GCP, AWS, Azure, and IBM. Brad is a former founding partner at Tech Wildcatters, and worked with dozens of mobile, SaaS and AI start-ups, many of which became both job creators and profitable exits for TW investors. He is currently a Senior Manager in Pepsico's global Strategy and Transformation group, where he focuses on delivering AI/ML driven solutions.
Shawn Augenstein is a dynamic and highly experienced professional, who is driven by educating, providing equal access to technology and equitable access to information. Currently, Shawn serves as Principal Data & AI Consultant at CDW, where he develops the curriculum and architectures for understanding and furthering the use of AI, as well as developing solutions for both partners and clients. In his spare time, he enjoys exploring new frontiers of Diffusers, capturing moments through photography, and listening to music as a passionate melophile.
What AI Means For Your Product Strategy And What To Do About ItVMware Tanzu
The document summarizes Matthew Quinn's presentation on "What AI Means For Your Product Strategy And What To Do About It" at Denver Startup Week 2023. The presentation discusses how generative AI could impact product strategies by potentially solving problems companies have ignored or allowing competitors to create new solutions. Quinn advises product teams to evaluate their strategies and roadmaps, ensure they understand user needs, and consider how AI may change the problems being addressed. He provides examples of how AI could influence product development for apps in home organization and solar sales. Quinn concludes by urging attendees not to ignore AI's potential impacts and to have hard conversations about emerging threats and opportunities.
This document discusses two models that organizations use - the Purpose-Systems model which focuses on goals and outputs, and the Behaviour-Meaning model which connects employee behaviors to personal meaning. These models often operate in isolation, leading to issues. The document proposes connecting the two models at a "Convergence Point" to better understand current realities and engage employee behaviors productively. This requires leaders to ask difficult questions to synchronize the models. In a complex world where customer expectations change, overreliance on compliance systems through the Purpose-Systems model can alienate frontline employees and ignore changing realities.
-- The Cognitive Engine - 10RULE WHITE PAPERGary Morais
The document discusses the concept of a cognitive engine and argues that true cognitive technology involves identifying the underlying algorithms or "performance thinking" that drive human behavior and productivity, rather than just analyzing aggregated behavioral data. It proposes that developing technologies that can emulate these cognitive algorithms/performance drivers could lead to applications that automate and improve business processes, uncover new insights, and predict and enhance human performance and outcomes. The authors believe this approach represents the next generation of cognitive technologies and has significant potential to transform businesses and drive innovation.
Systems thinking views problems as parts of interconnected systems rather than isolated issues. It examines the relationships and interactions between system elements to understand why problems persist. Seeing systems holistically can reveal feedback cycles and delays that maintain problems. Systems thinking helps identify unintended impacts of solutions and shows how seemingly isolated issues are often interconnected. It is used in fields like engineering, healthcare, and management to better understand and optimize complex systems and problems.
In the next normal, the Internet of Things is the default production environment, and because of the autonomy, diversity and pervasiveness of its actors, the business cannot focus management on being a supply manager of I.T. -- instead it must be a highly competent demand manager of the information used by things - the technology's information.
This module discusses the steps to analyze a safety management system (SMS):
1. Conduct a baseline survey to analyze the overall system.
2. Narrow the focus to analyze each SMS component like commitment, accountability, etc.
3. Conduct cause analysis to identify surface symptoms and underlying root causes impacting SMS performance.
OAC is testing new product features using split testing and cohort analysis to better understand what members want. This revealed that members preferred solo study options over social tools, contrary to the team's assumptions. Regular reporting of experimental results in accessible formats helps the team learn and prioritize development based on what improves member outcomes. Relying only on vanity metrics like total users could mislead the team about the product's sustainability and effectiveness.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Analysis the solution or planning, meeting with the employees, clients, consultants how the product would be better than the competitors. After studying the information we have the choose one of these three option: how can develop the system, how can improve the current system or if any of these two are not possible than leave the system. Planning stage is the preliminary step for a successful system, at first we have to detect the problems how we solve it and what we want to do, the objectives and the resources, required cost etc. System design is the second step in the system. Here a feasibility study is needed to recognize the requirements of the end user’s i.e. customers, what are the expectations of them for the system. It is very vital to maintain a strong communication with the customers. Ensure that the finished product can fulfil its required level and its function. Design phases arise after the good understanding with the customer; it defines the elements of a system, the security level and the different types of data which are necessary for the system. A general system design may be complete with pen-paper work. After the designing phase the system required an implementation process. In the phases the system fulfil the customer promises, now the system is ready to running, training may be required or not. This phase may be takes a long time, that’s depends on the complexity of the system.
Similar to Ego-System to Ecosystem; Systems Thinking in Design (20)
Explore the essential graphic design tools and software that can elevate your creative projects. Discover industry favorites and innovative solutions for stunning design results.
Architectural and constructions management experience since 2003 including 18 years located in UAE.
Coordinate and oversee all technical activities relating to architectural and construction projects,
including directing the design team, reviewing drafts and computer models, and approving design
changes.
Organize and typically develop, and review building plans, ensuring that a project meets all safety and
environmental standards.
Prepare feasibility studies, construction contracts, and tender documents with specifications and
tender analyses.
Consulting with clients, work on formulating equipment and labor cost estimates, ensuring a project
meets environmental, safety, structural, zoning, and aesthetic standards.
Monitoring the progress of a project to assess whether or not it is in compliance with building plans
and project deadlines.
Attention to detail, exceptional time management, and strong problem-solving and communication
skills are required for this role.
3. @allisonbouganim 3
Systemic Design
Everything is a set of interconnected parts working together to
accomplish a common purpose. It’s the ability to zoom in and
out of complexity, being user focused as well as system focused.
MINDSET + FRAMEWORK
@allisonbouganim
4. @allisonbouganim 4
“With a Systems Thinking mindset, the
designer starts to view products and services
as not the ‘end goal’ but as different leverage
points within the system.”
- DONELLA MEADOWS
@allisonbouganim
5. @allisonbouganim
SYSTEMIC BY DESIGN
PROCESS
+ Systems Scope + Future proof + Intervene
FUTURE
PROOF
FEEDBACK
SYSTEMS
SCOPE
INTERVENE
DEFINE IDEATE
Zooming out of complexity and
having a holistic view of the
problem and the system that it
encompasses it.
Possible futures, unintended
consequences, and blindspots
The engine for creating change
in a system. Small hinges open
big doors.
5
@allisonbouganim
6. @allisonbouganim 6
*SYSTEMIC BY DESIGN
PRINCIPLES
The Business Case
for Humanity
We need to evolve our metrics of
‘success’ away from the bottom
line and towards more sustainable
and impactful futures. How might
we come closer to aligning
business objectives with societal
planetary goals?
02.
Systems are
Personal
Seeing yourself in the system and
recognizing the power and
privilege you have and where you
can help address change. We
have good intentions, but we can
easily cause harm if not
thoughtful.
01.
Ego-system to
Ecosystem
The need for transdisciplinary
teams and perspectives. The
recognition that designers, in
addition to users, stakeholders,
engineers, policymakers, etc.
need to be included in designing
for sustainable futures.
03.
*SOME @allisonbouganim 6
8. @allisonbouganim
ICEBERG MODEL
TOOL
TOOL
What: Identify root cause. Can also be
used to identify which level of change
you want to make in the system
Why: To understand problem and
system better
When: Systems Scope, Define
8
10. @allisonbouganim 10
GUARDRAIL CHECK LIST
How may this product affect marginalized communities?
What would happen if mother nature was our main stakeholder?
Who is being silenced or overlooked?
Who has all of the power and authority in this system?
Who may be exploited?
What would happen if a bad actor got control?
Who would lose their job?
Who would lose their livelihood?
TOOL
What: Questions, a non-exhaustive
checklist
Why: Keeps you and your team aware
of potential consequences and allows
for interesting and sometimes
challenging conversations with the
client
When: Every phase
11. @allisonbouganim 11
PESTEL ANALYSIS
Political, Economic, Social, Technological, Environmental, Legal
P
P E S T E
E L
L
- Government Policy
-Political Stability
-Corruption
-Tax Policy
-Labor Law
-Trade Restrictions
- Economic Growth
- Exchange Rate
- Interest Rate
- Inflation Rates
- Disposable Income
- Unemployment Rate
- Population Growth
- Age Distribution
- Career Attitudes
- Safety Emphasis
- Health Conciousness
- Lifestyle Attitudes
- Cultural Barriers
- Technology
Incentives
- Level of Innovation
- Automation
- R&D Activity
- Tech Change
- Techn Awareness
- Weather
- Climate
- Environmental
Policies
- Climate Change
- Pressure From NGO’s
- Discrimination Law
- Antitrust Law
- Employment Laws
- Consumer Protection
Laws
- Copyright & Patent
Laws
- Health and Safety
Laws
What: A tool used to identify macro
(external) forces affecting a system
Why: can be useful to look at different
scales, individual, community, society,
industry
When: System Scope, Future Proof
PESTEL ANALYSIS
TOOL
Political, Economic, Social, Technological, Environmental, and Legal
@allisonbouganim 11