Tabla de Contenidos: “…-- Cultural planning practices in local government in Victoria -- The pitfalls and promises of an academic approach to solving real world problems in local government -- One size fits all? …”

Tabla de Contenidos: “…Introduction; Part One: Building A Questioning Classroom Culture; Kids These Days: Creating deeper learning experiences framed around student questions; Designing for Engagement: Strategies for using student questions to plan academic discussions; Teaching Like Socrates: Composing a classroom climate to encourage inquiry; Learning to Listen: Processes to support better thinking through focused attention; Constructing Trust: Foundational practices to sustain belonging and empathy; Part Two: Curating questions For Use In The Content Areas; Using Questions In Multiple Disciplines and Grade Levels; Science; Math; Social Studies, Government, and Humanities; Fine Arts & Music; Career & Technical Education; Special Populations: English Language Learners, Special Education learners, and Gifted & Talented learners; Part Three: Applying Inquiry To Do Real Work in the Real World; Generating Project Ideas From Student Questions at All Levels; Part Four: Using Our Own Questions To Transform Our Practice; Guiding Staff Meetings & Planning Powerful Professional Development with Teachers’ Questions; Appendix: Recommended texts, Resources, and Rubrics; References…”

Tabla de Contenidos: “…A perfect match for Hadoop development -- MapReduce in action -- Beyond the basics - advanced Hadoop concepts for Java developers and architects -- Yet another resource negotiator -- HBase -- Integration with the Java ecosystem -- Spark versus Hadoop - choosing the right framework for the job -- Hadoop and Spark equivalents in major cloud platforms -- Real-world Java and big data in action -- Use case 1 - log analysis with Spark -- Use case 2 - a recommendation engine…”

Tabla de Contenidos: “…Segmentation beyond the surface -- Refining targeting strategies -- Predictive analysis - the game-changer -- Dynamics 365 - a bedrock of quality data -- Real-world impact - a clothing brand case study -- Predictive lead scoring and opportunity management -- Anatomy of predictive lead scoring in Dynamics 365 AI -- The transformative nature of predictive scoring in sales -- Holistic opportunity management with Dynamics 365 AI -- Deep dive into predictive analysis and its implications -- An illustration of predictive lead scoring -- Personalization and recommendation engines for sales effectiveness -- Data-driven personalization in Dynamics 365 AI -- Recommendation engines - beyond the obvious -- Feedback loops and iterative refinement -- Personalization in action - a real-world glimpse -- Examples -- Example 1 - ElevateApparel's customer segmentation triumph -- Example 2 - ProTech Solutions and the predictive power -- Example 3 - NovelReads' personalized book journey -- Limitations and pitfalls of using AI for sales -- Summary -- Questions -- Answers -- Chapter 4: Driving Customer Service Excellence with Dynamics 365 AI -- Enhancing customer experience with virtual agents and chatbots -- The mechanics of continuous learning -- Feedback loops and data analysis -- Example of adaptation in action -- Training with synthetic data -- Real-time performance adjustments -- Evolving with consumer trends -- Integration with human feedback -- AI-powered sentiment analysis and customer sentiment tracking -- Technical aspects of sentiment analysis -- ML for enhanced sentiment detection -- Real-time sentiment tracking and response adaptation -- Predictive analytics in sentiment analysis -- Sentiment analysis for personalized marketing -- Data-driven strategy adjustments -- Challenges and ethical and security considerations…”

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“…Annotation NSF describes Cyber Physical Systems (CPS) as engineered systems that are built from, and depend upon, the seamless integration of computational and physical components H2020 refers to CPS as the next generation embedded ICT systems that are interconnected and collaborating providing citizens and businesses with a wide range of innovative applications and services With the proliferation of smart embedded and mobile devices, CPS are becoming large scale software intensive and pervasive systems These systems combine various data sources to control real world ecosystems (e g, buildings, traffic, energy)…”

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