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Deep Dive Into the Power Platform in the Age of Generative AI

Deep Dive Into the Power Platform in the Age of Generative AI PDF Author: BISWA PUJARINI. ARORA MOHAPATRA (DR GAURAV. AGARWAL, YASH.)
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 0

Book Description
Understand the full potential of Microsoft Power Platform with this comprehensive guide, designed to provide you with the knowledge and tools needed to create intelligent business applications, automate workflows, and drive data-driven insights for business growth. Whether you're a novice or an experienced professional, this book offers a step-by-step approach to mastering the Power Platform. This book comes with an extensive array of essential concepts, architectural patterns and techniques. It will also guide you with practical insights to navigate the Power Platform effortlessly while integrating on Azure. Starting with exploring Power Apps for building enterprise applications, the book delves into Dataverse, Copilot Studio, AI Builder, managing platforms and Application life cycle management. You will then demonstrate testing strategy followed by a detailed examination of Dataverse and intelligent AI-powered Applications. Additionally, you will cover Power pages for external websites and AI-infused solutions. Each section is meticulously structured, offering step-by-step guidance, hands-on exercises, and real-world scenarios to reinforce learning. After reading the book, you will be able to optimize your utilization of the Power Platform for creating effective business solutions. What You Will Learn: Understand the core components and capabilities of Power Platform Explore how Power Platform integrates with Azure services Understand the key features and benefits of using Power Platform for business applications Discover best practices for governance to ensure compliance and efficient management Explore techniques for optimizing the performance of data integration and export processes on Azure Who This Book Is For: Application developers, Enterprise Architects and business decision-makers.

Deep Dive Into the Power Platform in the Age of Generative AI

Deep Dive Into the Power Platform in the Age of Generative AI PDF Author: BISWA PUJARINI. ARORA MOHAPATRA (DR GAURAV. AGARWAL, YASH.)
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 0

Book Description
Understand the full potential of Microsoft Power Platform with this comprehensive guide, designed to provide you with the knowledge and tools needed to create intelligent business applications, automate workflows, and drive data-driven insights for business growth. Whether you're a novice or an experienced professional, this book offers a step-by-step approach to mastering the Power Platform. This book comes with an extensive array of essential concepts, architectural patterns and techniques. It will also guide you with practical insights to navigate the Power Platform effortlessly while integrating on Azure. Starting with exploring Power Apps for building enterprise applications, the book delves into Dataverse, Copilot Studio, AI Builder, managing platforms and Application life cycle management. You will then demonstrate testing strategy followed by a detailed examination of Dataverse and intelligent AI-powered Applications. Additionally, you will cover Power pages for external websites and AI-infused solutions. Each section is meticulously structured, offering step-by-step guidance, hands-on exercises, and real-world scenarios to reinforce learning. After reading the book, you will be able to optimize your utilization of the Power Platform for creating effective business solutions. What You Will Learn: Understand the core components and capabilities of Power Platform Explore how Power Platform integrates with Azure services Understand the key features and benefits of using Power Platform for business applications Discover best practices for governance to ensure compliance and efficient management Explore techniques for optimizing the performance of data integration and export processes on Azure Who This Book Is For: Application developers, Enterprise Architects and business decision-makers.

Power Platform and the AI Revolution

Power Platform and the AI Revolution PDF Author: Aaron Guilmette
Publisher: Packt Publishing Ltd
ISBN: 1835089925
Category : Computers
Languages : en
Pages : 356

Book Description
Unlock the untapped potential of ChatGPT, CoPilot, and Azure AI services by integrating them with the Microsoft Power Platform Key Features Gain insights into the latest AI technologies and their business applications Use generative AI to build apps, workflows, and chatbots Learn how to integrate AI services to automate work and deliver apps for specific business needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn this AI era, employing leading machine learning and AI models such as ChatGPT for responding to customer feedback and prototyping applications is crucial to drive business success in the competitive market. This book is an indispensable guide to integrating cutting-edge technology into business operations and leveraging AI to analyze sentiment at scale, helping free up valuable time to enhance customer relationships. Immerse yourself in the future of AI-enabled application development by working with Power Automate, Power Apps, and the new Copilot Studio. With this book, you’ll learn foundational AI concepts as you explore the extensive capabilities of the low-code Power Platform. You’ll see how Microsoft's advanced machine learning technologies can streamline common business tasks such as extracting key data elements from customer documents, reviewing customer emails, and validating passports and drivers’ licenses. The book also guides you in harnessing the power of generative AI to expedite tasks like creating executive summaries, building presentations, and analyzing resumes. You’ll build apps using natural language prompting and see how ChatGPT can be used to power chatbots in your organization. By the end of this book, you’ll have charted your path to developing your own reusable AI automation patterns to propel your business operations into the future.What you will learn Interact with ChatGPT using connectors and HTTP calls Train AI models to identify the key elements of documents Use generative AI to answer questions about organizational content Leverage AI image recognition services to describe pictures Use generative AI tools to help build workflows and apps Build chatbots using the new Copilot Studio Analyze customer feedback using AI sentiment analysis tools such as AI Builder Who this book is for If you’re interested in exploring the capabilities of modern AI technologies in the workplace, this book is for you. Specially tailored for IT professionals, developers, business leaders, human resources administrators, managers, and entrepreneurs–anyone aspiring to become a productivity rockstar will find this book helpful for extending their skill set through hands-on exercises. The content is beginner-friendly, assuming no knowledge of machine learning or artificial intelligence concepts, making it a perfect starting point for newcomers to the field.

Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications

Mastering AI and Generative AI: From Learning Fundamentals to Advanced Applications PDF Author: Anand Vemula
Publisher: Anand Vemula
ISBN:
Category : Computers
Languages : en
Pages : 72

Book Description
This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.

The Power of Generative AI

The Power of Generative AI PDF Author: Aimee Mills
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0

Book Description
Imagine a world where data isn't just analyzed, but actively used to create entirely new things. A world where scientists and analysts are not just interpreters of information, but architects of innovation. This, my friends, is the world of generative AI, and it's closer than you think. Welcome to the Future: Step into the shoes of Anya, a talented data scientist at a leading tech firm. Tired of the repetitive data analysis, Anya yearns to push the boundaries of what's possible. Then she discovers the power of generative AI, and her world is transformed. She learns to craft prompts, those magical incantations that unlock the creative potential of AI models, and with each prompt, she unleashes a wave of innovation. Anya generates new molecules for drug discovery, designs never-before-seen materials, and even crafts compelling stories that move hearts and minds. Unlock Your Potential: This book is your guide to becoming a master of the art of prompt engineering. Whether you're a seasoned data scientist or just starting out, "The Power of Generative" will equip you with the knowledge and skills you need to unlock the full potential of generative AI. Here's what you'll discover: The fundamental principles of generative AI: Demystifying the complex world of AI models and how they learn to create. The art of crafting prompts: Master the language of AI, from understanding syntax to structuring effective prompts for different tasks. Advanced techniques for prompt engineering: Explore cutting-edge methods like embedding, conditional generation, and fine-tuning. Real-world applications: Dive deep into practical use cases for generative AI across various industries. Ethical considerations and responsible AI: Learn how to use generative AI ethically and responsibly, mitigating potential risks and biases. Claim Your Power: Generative AI is not just a technological leap, it's a paradigm shift. It's a call to arms for data scientists and analysts to embrace their creativity and become architects of the future. Are you ready to join the revolution? Take action today. BUY "The Power of Generative" and unlock your potential as a prompt engineer. The world of innovation awaits.

Generative AI in Practice

Generative AI in Practice PDF Author: Anand Vemula
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0

Book Description
This comprehensive guide dives deep into the world of Generative AI, a revolutionary field where AI creates entirely new things. Go beyond traditional AI methods and discover how Generative AI can revolutionize industries, empower creativity, and shape the future. Here's what you'll find inside: Breakthrough Techniques: Explore prominent methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in a clear and engaging way. Real-World Applications: Witness the transformative impact of Generative AI across various sectors, from accelerating drug discovery in healthcare to automating code generation in software development. The Power of Creation: Discover how Generative AI can fuel creativity in design, content creation, and education, offering inspiration and boosting efficiency. Generative AI in Practice equips you with the knowledge to harness this groundbreaking technology: Essential Tools and Platforms: Learn about popular generative AI tools and platforms readily available for you to explore and experiment with. Seamless Integration: Discover strategies to integrate Generative AI seamlessly into your existing workflows, maximizing its impact. The Ethical Landscape: Address crucial considerations surrounding data bias, fairness, and the responsible development of Generative AI. This book empowers you to: Understand the core concepts of Generative AI and its potential to create entirely new data formats. Implement generative techniques to automate tasks, enhance creative processes, and solve problems in your field. Become a responsible user of Generative AI, fostering innovation while considering ethical implications. Generative AI in Practice is your one-stop guide to understanding, implementing, and harnessing the power of Generative AI, whether you're a business leader, a creative professional, a developer, or simply curious about the future of technology.

The Production of Global Web Series in a Networked Age

The Production of Global Web Series in a Networked Age PDF Author: Guy Healy
Publisher: Routledge
ISBN: 1000535657
Category : Business & Economics
Languages : en
Pages : 304

Book Description
This book tells the story of diverse online creators – women, ethnic and racial minorities, queer folk and those from hardscrabble backgrounds – producing low budget, high cultural impact web-series which have disrupted longstanding white male domination of the film and TV industries. Author Guy Healy addresses four burning problems faced by creators in the context of digital disruption (along with potential solutions), namely: the sustainability of monetizing digital content and the rising possibility of middle-class artistic careers; algorithmic volatility; the difficulty of finding people to share jealously guarded industry knowledge as traditional craft-based mentoring and expertise-sharing mechanisms break down; and the lack of diversity and authenticity in high-profile storytelling. It includes nine case studies, five drawn from a second wave of outstanding YouTube-developed talent, transitioning to longer form narrative, most collaborating with established TV producers working across the divide between online and established television culture, and all from under-represented and/or minority backgrounds. The balance are film-school and industry professionals leveraging YouTube in the same way, including two Writers Guild of America new media award-winners. These storytellers leverage their social networks and chase sustainable careers by reaching audiences of subscription video-on-demand platforms and mainstream online broadcast in Australia and North America. The Production of Global Web-Series in a Networked Age is the first longitudinal study of this historic rapprochement between online and television cultures. Four of the cases are in Emmy-winning contexts, and one in an Emmy nominated context. Covering 2005–2021, the book reveals distinctive new forms of screen industry convergence with profound implications for creators’ careers, the screen industry in general, new media theory, and broader cultural and social change. It is essential reading for students, academics and industry professionals working on the production and distribution of web series.

Competing in the Age of AI

Competing in the Age of AI PDF Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 175

Book Description
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Data Science on AWS

Data Science on AWS PDF Author: Chris Fregly
Publisher: "O'Reilly Media, Inc."
ISBN: 1492079367
Category : Computers
Languages : en
Pages : 524

Book Description
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

Dive Into Deep Learning

Dive Into Deep Learning PDF Author: Joanne Quinn
Publisher: Corwin Press
ISBN: 1544385404
Category : Education
Languages : en
Pages : 297

Book Description
The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.

Rise of the Data Cloud

Rise of the Data Cloud PDF Author: Frank Slootman
Publisher: AuthorHouse
ISBN: 1728373069
Category : Business & Economics
Languages : en
Pages : 200

Book Description
The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.