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Medium
1w
6.7k
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The Future of Agile: How AI is Transforming Agile
- AI seamlessly integrates into Agile environments by automating repetitive tasks, providing predictive insights, and improving team efficiency.
- Key areas where AI is making an impact include reducing time spent on manual reporting, improving decision-making, and making data-driven decisions.
- Challenges of AI in Agile must be addressed by combining AI-driven insights with human expertise, ensuring technology enhances Agile principles.
- By strategically integrating AI into Agile methodologies, businesses can remain competitive, drive innovation, and unlock new levels of agility.
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Scrum
1w
28
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AI-Powered Disruption: Turning Hidden Data into Market Opportunity
- AI-powered disruption is about reshaping industries, creating new market segments, and turning untapped data into a competitive advantage.
- AI can transform existing data into new revenue streams, cost savings, and new market opportunities.
- Real-world examples of AI-driven disruption: Amazon's predictive shopping, GE's predictive maintenance, and JPMorgan's AI-powered loan processing.
- To get started with AI, businesses should identify hidden insights, start with a focused AI pilot, leverage AI tools and talent, create a culture of experimentation, and measure and scale the successful pilots.
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Scrum
1w
119
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The Cost of an Untrained Product Owner: Why PO Training is a Must
- Investing in Product Owner training is essential to avoid the costs of an untrained Product Owner.
- The cost of poor backlog management includes wasted effort and delays.
- Misaligned stakeholders lead to building what stakeholders demand rather than what customers need.
- Missed market opportunities occur when the product strategy is not aligned with customer needs and market trends.
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Scrum
1w
149
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Why smaller Scrum teams deliver a bigger impact
- Smaller Scrum teams, consisting of 10 or fewer people, deliver a bigger impact.
- Scrum teams should be small, cross-functional, and self-managing.
- Cross-functional teams collaborate closely, bringing their expertise to create value.
- When teams have autonomy and the skills to deliver, they are more engaged, innovative, and accountable for outcomes.
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Scrum
1w
393
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Professional Scrum with Kanban Curing Growing Pains at ambarics
- Ambarics software & consulting GmbH & Co. KG faced challenges as it expanded, leading to fragmented communication and operational inefficiencies.
- The implementation of Professional Scrum with Kanban (PSK) by André Bohn addressed these challenges, enhancing transparency and teamwork.
- The team at ambarics adopted a step-by-step approach, focusing on core elements, such as establishing a Definition of Workflow and a digital Kanban Board.
- Limiting Work in Progress (WiP) to five items per person per week facilitated workload management and improved task completion.
- The transition to PSK resulted in improved visibility, customer interactions, and collaboration among team members, boosting productivity and customer satisfaction.
- The implementation led to a 75% reduction in planning session time, translating to a productivity gain of around 14% for the team.
- Continuous improvement and adapting PSK to fit their business needs were key factors in ambarics' success.
- Future directions for ambarics include using more Flow Metrics, refining workflows, and potentially commercializing their system as a service.
- Implementing PSK enhanced discussions about work and decision-making, fostering a culture of continuous improvement and customer success at ambarics.
- The case study emphasizes the unique approach taken by ambarics and the significance of patience and adaptation in organizational transformations.
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Scrum-Master-Toolbox
1w
98
Karen Suarez: When a Scrum Master Needs to Hire a Manager, An Organizational Design Story
- Scrum Master, Karen Suarez, shares her experience transforming a company with departmental silos.
- By identifying interested individuals in other departments, she fostered collaboration and formalized the Product Owner role.
- Regular collaboration routines were created between QA, development, and deployment teams.
- To bridge trust issues, Karen recognized the need for hiring a manager beyond the Scrum Master role.
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Testim.io
1w
385
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React Native Unit Testing: A Complete Getting Started Guide
- React Native unit testing focuses on testing the smallest testable parts of a React Native app to ensure expected behavior.
- Modular React Native unit tests increase project performance and simplify code maintenance.
- Popular React Native unit testing frameworks include Jasmine, Enzyme, Jest, and Mocha.
- React-native-testing-library is recommended for testing React Native components due to its compatibility with the latest React features.
- Mocha offers flexibility and configuration options suitable for large-scale projects, while Jest, inspired by Jasmine, is a simpler choice for React Native unit testing.
- Jest, developed by Facebook, is integrated with React and supports testing various JavaScript frameworks.
- Configuring Jest for React Native unit testing is straightforward, making it a preferred option for many projects.
- Jest allows testing of functions, strings, arrays, Booleans, elements, and automocking of modules.
- Snapshot testing in Jest provides a quick way to verify user interface changes without waiting for app builds.
- React Native unit testing with Jest includes manual mocking for control over external dependencies and automocking for emulating module behavior.
- Unit testing elements in a React Native app's view can be done using react-test-renderer for specific element validation.
- Jest offers features like skipping broken tests, expressing Boolean data with toBeTruthy and toBeFalsy, and comprehensive testing capabilities for React Native apps.
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Kanbanzone
2w
128
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How to Supercharge Kanban in Warehousing with Advanced Digital Tools
- Warehouses have evolved from chaotic setups to efficient operations with the adoption of Kanban and digital tools.
- Kanban in warehousing involves using visual signals to control inventory movement, ensuring timely replenishment.
- Advanced digital tools like Warehouse Management Systems (WMS) enhance Kanban by automating tracking and restocking processes.
- RFID, barcode scanners, IoT, AI, and machine learning technologies optimize inventory management and prevent errors in warehouses.
- Mobile apps connected to WMS platforms enable real-time updates, notifications, and efficient communication for warehouse workers.
- Integrating Kanban with digital tools reduces overstocking, speeds up replenishment, minimizes human errors, and increases overall efficiency.
- Data-driven decisions, predictive analytics, and improved operational workflows are the outcomes of combining Kanban with digital technologies in warehouses.
- Implementing digital Kanban involves assessing current processes, selecting suitable tools, integrating systems, training staff, and continuous optimization.
- By embracing digital Kanban, warehouses can operate smoothly, improve inventory management, and enhance overall business operations.
- The integration of advanced digital tools with Kanban transforms warehouses into well-managed, efficient hubs that adapt to modern logistics demands.
- Embracing digital transformation in warehouses ensures smoother operations, balanced inventory levels, and increased efficiency, paving the way for future success.
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Scrum-Master-Toolbox
2w
163
Karen Suarez: How to Design Communication Channels to Protect Agile Team Focus, and Avoid Interruptions
- Karen Suarez developed strategies to balance protection with accessibility for her agile team of 15-20 people.
- She established "office hours" for interruptions and created dedicated communication channels.
- The team used Slack to collect stakeholder questions and always included the Product Owner in change requests.
- This approach maintained team focus while keeping communication lines open.
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9 Likes
Medium
2w
390
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AI Will Expose Bad Product Owners — Brutally
- AI-generated backlogs can lead to chaos and inefficiency in product development.
- A bad Product Owner blindly follows AI predictions and doesn't understand the user stories.
- Unclear requirements, random feature creep, and excessive meetings result from AI-driven priorities.
- The real problem lies in bad product thinking, not AI itself.
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Scrum
2w
300
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The Hidden Test: Integrity, AI, and the Future of Leadership
- The real test of professionalism lies in moments of solitude, where integrity is truly tested.
- Small ethical lapses in the workplace can lead to significant consequences, influencing technology like AI.
- AI learns from human decisions, which can perpetuate biases and ethical dilemmas at a larger scale.
- Examples like the Wells Fargo scandal and Facebook's privacy issues highlight how minor breaches can escalate.
- AI can magnify biases in hiring processes but can also be utilized to counter discrimination and promote inclusivity.
- The transparency and ethics of AI decisions are crucial for mitigating risks like deepfake scams and misinformation.
- Leaders need to audit AI outputs, provide ethics training, ensure explainability, and establish ethics review boards for responsible AI governance.
- Leaders must lead with integrity to set an example for ethical decision-making, influencing both human behavior and AI algorithms.
- AI's ability to learn from human biases can create a feedback loop that perpetuates discrimination and unethical practices if left unchecked.
- The culture of integrity and ethical leadership starts with conscious choices made daily in the workplace, shaping the future of AI and organizational ethics.
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Scrum
2w
47
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Scrum Masters should be willing to get fired
- Scrum Masters and Agile Coaches should be prepared to get fired to address unresolved impediments.
- Teams often face persistent problems but are afraid to discuss or lack constructive solutions.
- Scrum Masters and Agile Coaches need to share their observations without fear or judgment.
- Being too attached to their role can hinder their effectiveness in resolving impediments.
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2 Likes
Scrum
2w
331
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You'll hate the Daily Scrum until you love it
- The Daily Scrum is a 15-minute daily check-in for Developers in Scrum.
- It shortens hand-offs and keeps work progressing without delays or stalling.
- The Daily Scrum provides a reality check, helps in learning from teammates, and helps spot problems faster.
- Asking for help becomes easier, it saves time, and it ensures work doesn't turn into emergencies.
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19 Likes
Scrum
2w
292
Image Credit: Scrum
6 Professional AI Prompts for Scrum Masters
- AI technology has enabled computers to understand human language, creating new opportunities.
- To effectively communicate with AI tools, learning how to guide them is essential.
- The article provides 6 professional prompts for Scrum Masters on various topics.
- These topics include creating Sprint and Product goals, removing impediments, and conflict resolution.
- For example, creating Sprint Goals involves breaking down goals and using the FOCUS model.
- Creating Product Goals involves aligning goals with the SMART model boundaries.
- Removing impediments requires creating a plan and utilizing collaboration tools.
- Creating Definition of Done involves listing process, technical, and delivery expectations.
- Improvement suggestions based on DORA metrics aim to enhance team performance.
- Conflict resolution strategies include setting the stage with relevant questions and fostering collaboration.
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17 Likes
Medium
2w
2.4k
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Jeff Bezos is a Genius in Management. Now, Science Agrees with Him.
- Amazon's market share in the cloud computing industry has consistently remained at the top, with competitors like GCP (Google Cloud Platform) and Microsoft Azure chasing AWS.
- Amazon's innovation can be attributed to their approach in organizing teams and meetings, known as the 'two pizza rule,' where teams must be small enough to be fed by two pizzas.
- AWS, launched in 2012, made a significant impact on the Japanese market, leading many IT companies to shift from on-premise to cloud-based infrastructure.
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