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  Using GitHub, a SCRUM team can effectively manage their entire development cycle. Below is a mapping of the SCRUM steps to GitHub features: Pre-Sprint Planning Product Backlog Refinement GitHub Features: Issues:  Create and manage Product Backlog items as GitHub Issues. Labels:  Use labels to categorize and prioritize issues (e.g., "high priority", "enhancement"). Milestones:  Group related issues into milestones representing larger features or epic stories. Projects:  Use GitHub Projects (kanban boards) to organize issues into columns such as "To Do", "In Progress", and "Done". Sprint Cycle Sprint Planning GitHub Features: Issues:  Select issues from the Product Backlog for the Sprint. Projects:  Move selected issues to the "In Progress" column in the GitHub Project board for the current Sprint. Milestones:  Assign issues to the Sprint milestone to track progress and deadlines. Issue Templates:  Use issue templates to ensur...

Role CEO se změnila z tradičního vedení na stratéga založeného na datech. Nástup generativní umělé inteligence (GenAI) a její integrace s cloudovými datovými platformami způsobily revoluci ve fungování podniků a nabízejí nebývalé možnosti, které byly dříve běžnými nástroji nedosažitelné. Tato transformace není jen technologickou změnou, ale i změnou paradigmatu myšlení, která umožňuje výkonným manažerům využít plný potenciál jejich datových ekosystémů k podpoře růstu, efektivity a inovací. Vývoj Business Intelligence: Od datových sil k uceleným znalostem Konvenční nástroje a postupy business intelligence (BI) se často potýkají s datovými sily, opožděným reportováním a omezenými analytickými možnostmi. Tato omezení brání výkonným pracovníkům činit včasná a informovaná rozhodnutí. Na scénu vstupuje GenAI, jehož příkladem je Amazon Q for Business , který se hladce integruje se stávajícími podnikovými systémy, jako jsou CRM, ERP, HRMS a nástroje pro řízení projektů. Tato integrace zajišťuj...

  In this transformation, we’ll leverage Amazon Q for Business as the primary user touchpoint integrated with a comprehensive AWS stack. This approach ensures that every question is answered with precision and real-time insights, optimizing business operations. 1. Who are our most valuable customers and what drives their loyalty? Data Sources: CRM:  Salesforce or HubSpot Customer Feedback:  Zendesk or Intercom Data Storage:  Amazon S3 Implementation:  Amazon Q for Business integrates with Salesforce and Zendesk to analyze customer interaction data. Using natural language processing (NLP), Amazon Q can provide insights on high-value customers by evaluating purchase history, support interactions, and feedback ratings. Data stored in Amazon S3 ensures that all information is accessible and securely managed. Benefits: Real-time identification of high-value customers Insights into customer behavior and loyalty drivers 2. What are our current sales trends and how do t...

The dawn of the GenBI (Generative Business Intelligence) era promises to revolutionize business operations and decision-making processes. One of the most transformative aspects of GenBI is its ability to provide transaction-level attribution. This means that every income and expenditure within a corporation can be real-time attributed and classified, leading to unprecedented decision-making precision and factual accuracy. Here's how this groundbreaking feature can reshape the corporate landscape: Transaction-Level Attribution: A New Standard in Precision Real-Time Data Integration At the core of transaction-level attribution is the seamless integration of real-time data. GenBI connects to various financial systems, ERP solutions, CRM platforms, and other data sources, ensuring that every transaction is captured and logged as it occurs. This continuous flow of data provides a granular view of all financial activities, enabling: Immediate Classification: Transactions are automaticall...

  The intersection of Hypermedia as the Engine of Application State (HATEOAS), JSON for Linked Data (JSON-LD), and Hypertext Application Language (HAL) presents a novel approach to enhancing Retrieval-Augmented Generation (RAG) systems. By leveraging these standards, we can streamline and potentially standardize the interaction of Large Language Models (LLMs) with knowledge graphs, thus facilitating real-time data retrieval and more effective training processes. Leveraging HATEOAS HATEOAS principles are crucial for enabling dynamic navigation and state transitions within RESTful APIs. In the context of RAG systems, HATEOAS allows LLMs to interact with APIs in a flexible manner, discovering related resources and actions dynamically. This capability is essential for traversing knowledge graphs, where the relationships between entities can be complex and varied. By providing hypermedia links in API responses, HATEOAS ensures that LLMs can effectively navigate and utilize the knowledge...

Scrum, agilní metodologie navržená pro zvýšení flexibility, spolupráce a produktivity při vývoji softwaru, paradoxně někdy vede k mikromanagementu a invazivnímu dohledu. Tento posun může mít škodlivé účinky na zdraví a motivaci zaměstnanců a podkopává samotné principy agilních metodik. Pozorování a principy, které demonstroval W. Edwards Deming, zejména prostřednictvím svého slavného experimentu s červenými korálky, poskytují cennou perspektivu, kterou lze tyto problémy zkoumat. Scrum a mikromanagement: Rostoucí problémy Záměr Scrumu vs. realita : Zamýšlené přínosy : Cílem Scrumu je zlepšit týmovou spolupráci, adaptabilitu a transparentnost. Každodenní stand-upy, sprint review a retrospektivy mají podpořit otevřenou komunikaci a neustálé zlepšování. Tendence k mikromanagementu : V praxi se časté kontroly a podrobné sledování mohou změnit v mikromanagement. Manažeři mohou klást přílišný důraz na metriky, míru splnění úkolů, což vede ke kultuře dohledu namísto důvěry a autonomie. Vliv na...

  The Kano Model classifies features into five categories: Must-Be, One-Dimensional, Attractive, Indifferent, and Reverse. This model focuses on various aspects of the employee experience, drawing on research and feedback from multiple sources. The aim is to provide high-value guidance for managers to enhance employee satisfaction and engagement. Must-Be Attributes These are basic expectations that must be met for employees to be satisfied. Onboarding Process : Expectation : Smooth and comprehensive onboarding. Guidance for Managers : Ensure a structured onboarding process that includes assigned mentors, clear role definitions, and access to necessary resources. Regular check-ins during the initial period can help new hires adjust and feel supported. Tools and Infrastructure : Expectation : Access to modern development tools and environments. Guidance for Managers : Provide up-to-date tools and technologies that integrate well with existing systems. Ensure timely availability of re...

  Interviewer:  Hello everyone, and welcome to our interview series. Today, we have the pleasure of speaking with Sarah Johnson, Development Manager at TechGlobal Solutions. Sarah is here to talk about the profound impact of GitMole on their business and developer experience. Sarah, thank you for joining us! Sarah Johnson:  Thank you for having me! I’m thrilled to be here and share our experience with GitMole. Interviewer:  Let's dive right in. How has GitMole transformed the way TechGlobal operates? Sarah Johnson:  GitMole has revolutionized our entire development process. We've embraced a fully remote, uberized model of collaboration, allowing us to leverage global talent seamlessly. This means that our developers can work from anywhere, at any time, and still contribute effectively to our projects. It's truly a game-changer. Interviewer:  That sounds amazing. Can you tell us more about the uberization of your business and how it benefits your team? Sarah...

  In the world of software development, one of the most significant challenges is bridging the gap between client needs and the implementation phase. This gap often results from a disconnect between strategic business analysis and the technical execution typically handled by software agencies. These agencies, while brimming with skilled coders, often lack the detailed strategic insights necessary for aligning their work with broader business goals. Enter Artificial Intelligence (AI), a game-changer that is effectively bridging this gap and transforming how software agencies operate. The Current Challenge Software agencies are renowned for their technical prowess, with teams of developers ready to bring any specification to life. However, the process often begins with a client’s broad vision or business problem, which needs to be meticulously translated into detailed specifications that developers can follow. This translation process is where many projects falter, as it requires dee...