Download or read book Generative AI for Business Analysts written by Anand Vemula and published by Independently Published. This book was released on 2024-06-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI for Business Analysts: A Comprehensive Guide" equips business analysts with essential knowledge and practical skills to leverage generative AI technologies effectively. From understanding foundational concepts to implementing advanced solutions, this book bridges the gap between AI theory and business application. The book begins with an overview of generative AI, exploring key technologies such as GANs, VAEs, and Transformers, and their applications across various industries. Business analysts learn to identify suitable AI-driven solutions for enhancing operations, from content creation and data augmentation to predictive analysis and personalization. An emphasis on practicality is woven throughout the guide. Readers delve into project planning and execution, learning to set objectives, allocate resources, and manage timelines effectively. Collaboration with data scientists and AI engineers is explored, ensuring seamless integration of AI solutions into existing business frameworks. Tools and platforms crucial for AI implementation, including TensorFlow, PyTorch, and OpenAI, are detailed with pros and cons. Hands-on tutorials and case studies provide step-by-step guidance on building and deploying generative AI models, empowering analysts to apply their newfound skills in real-world scenarios. Ethical considerations, privacy concerns, and regulatory compliance are addressed comprehensively, highlighting the importance of responsible AI deployment. Readers gain insights into identifying biases, mitigating risks, and adhering to data privacy laws such as GDPR and CCPA. Measuring AI performance becomes actionable with metrics like accuracy, precision-recall, and specific metrics for generative models like Inception Score and FID. Practical workshops offer exercises in A/B testing, experimental design, and continuous monitoring to refine AI models and ensure ongoing success. The future of generative AI and evolving roles for business analysts are explored, preparing readers for advancements in AI technologies and industry trends. Resources for further learning and career development conclude the guide, empowering analysts to stay current and thrive in the AI-driven landscape.

Download or read book Generative AI Business Applications written by David E. Sweenor and published by TinyTechMedia LLC. This book was released on 2024-01-31 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

Download or read book Text Generative AI courseware written by Fabienne Mouris and published by Van Haren. This book was released on 2023-10-20 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: The course is mainly practical (applying generative AI/prompt-engineering), in action activities where you make prompts and learn best practices on Text Generative AI, while doing. Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Understanding of the architecture behind the model Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI Individuals who need a basic understanding Text Generative AI Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with it Business Analyst. The course is mainly practical, with interactive activities where you make prompts and learn by doing. You will also get feedback and guidance from experienced instructors and peers. By the end of the course, you will be able to: Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.

Download or read book Handbook of Research on Foundations and Applications of Intelligent Business Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2022-03-11 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Download or read book Advanced Analytics for Business written by Mark Ryan and published by Manning. This book was released on 2024-09-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Every organization in the world stores data in tables. Advanced Analytics for Business reveals practical techniques for applying machine learning techniques like deep learning and gradient boosting to your company’s rows and columns. Inside Advanced Analytics for Business you’ll learn how to: Pick the right machine learning approach for your data Apply deep learning to tabular data Deploy tabular machine learning locally and in the cloud Pipelines to automatically train and maintain a model This book collects best practices, hard-won tips and tricks, and hands-on techniques for making sense of tabular data using advanced machine learning techniques. Inside, you’ll discover how to use XGBoost and LightGBM on tabular data, optimize deep learning libraries like TensorFlow and PyTorch for tabular data, and use cloud tools like Vertex AI to create an automated MLOps pipeline. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine learning techniques like gradient boosting and more contemporary deep learning approaches. You’ll find practical examples for every stage of the machine learning pipeline, such as using XGBoost and Keras to predict the prices of Airbnb listings in New York City and deploying a machine learning model on your local system with Flask. By the time you’re finished, you’ll be equipped with the skills to apply machine learning to the kinds of data you work with every day. About the reader For readers experienced with Python and the basics of machine learning. About the author Mark Ryan is a technical writing manager at Google. He studied computer science at the University of Waterloo and at the University of Toronto. In addition to a keen interest in deep learning with tabular data, Mark is interested in applications of large language models. Luca Massaron is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of bestselling books on AI, machine learning, and algorithms.

Download or read book Successful Business Analysis Consulting written by Karl Wiegers and published by Business Analysis Professional. This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume in the Business Analysis Professional Development Series by renowned expert and best-selling author, Karl Wiegers, and a group of noteworthy contributors, provides experienced, advanced-level business analysis and project management practitioners with proven strategies and tips for making the successful transition from highly respected internal expert to a fulfilling and financially rewarding career in consulting. Key Features: Addresses how to effectively lay the foundation and structure of your consulting business; how to deal with or avoid the many pitfalls of working outside the corporate world and working remotely from home; and how to balance life, family, and work Presents a list of next steps at the end of each chapter with actions you can take immediately to begin applying the guidance and tips provided Furnishes valuable strategies and tips for such essentials as setting rates for your services, invoicing, purchasing appropriate insurance, establishing important business rules or policies, managing your finances and taxes, and other administrative aspects of your consultancy Articulates how to market your services, land both new and repeat business, negotiate deals, and craft written agreements with clients Describes how to establish multiple revenue streams, ways to leverage your work to develop sources of passive income, and some important issues of copyright, fair use, and managing and protecting your valuable intellectual property Provides sample checklists to help you keep all the activities you will be juggling as a consultant under control Identifies effective techniques for engaging clients in various situations, as well as warning signs about clients who can cause you headaches and how to deal with them Supplies solutions to a wide variety of problems and challenges of the consulting world, contributed by a group of noteworthy independent consultants with diverse experiences Discusses other common consultant activities that can generate a steady flow of revenue such as training, presenting at conferences, and other public speaking, and provides guidance and tips for delivering effective presentations with confidence Offers strategies and tips pertaining to partnering with other consultants on larger projects and how to make such arrangements work Examines the value of participating in professional associations and pursuing relevant professional certifications as a way to market your services and attract new clients and opportunities Explores the benefits of writing white papers and articles for magazines, journals, websites, and blogs as a means to simultaneously share your knowledge with the world and market your expertise to prospective clients Elaborates on the process and value of writing a book in the area in which you consult, how to get it published and distributed by a reputable publishing company that can reach your market, how to co-author a book effectively, and how a good selling book can be a powerful tool for getting clients and building your business WAV offers downloadable templates for consulting, writing, speaking, and licensing agreements, and checklists and forms to help you plan and manage your consulting business--available from the Web Added Value(TM) Download Resource Center at www.jrosspub.com

Download or read book Software Development Pearls written by Karl Wiegers and published by Addison-Wesley Professional. This book was released on 2021-10-05 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerate Your Pursuit of Software Excellence by Learning from Others' Hard-Won Experience "Karl is one of the most thoughtful software people I know. He has reflected deeply on the software development irritants he has encountered over his career, and this book contains 60 of his most valuable responses." -- From the Foreword by Steve McConnell, Construx Software and author of Code Complete "Wouldn't it be great to gain a lifetime's experience without having to pay for the inevitable errors of your own experience? Karl Wiegers is well versed in the best techniques of business analysis, software engineering, and project management. You'll gain concise but important insights into how to recover from setbacks as well as how to avoid them in the first place." --Meilir Page-Jones, Senior Business Analyst, Wayland Systems Inc. Experience is a powerful teacher, but it's also slow and painful. You can't afford to make every mistake yourself! Software Development Pearls helps you improve faster and bypass much of the pain by learning from others who already climbed the learning curves. Drawing on 25+ years helping software teams succeed, Karl Wiegers has crystallized 60 concise, practical lessons for all your projects, regardless of your role, industry, technology, or methodology. Wiegers's insights and specific recommendations cover six crucial elements of success: requirements, design, project management, culture and teamwork, quality, and process improvement. For each, Wiegers offers First Steps for reflecting on your own experiences before you start; detailed Lessons with core insights, real case studies, and actionable solutions; and Next Steps for planning adoption in your project, team, or organization. This is knowledge you weren't taught in college or boot camp. It can boost your performance as a developer, business analyst, quality professional, or manager. Clarify requirements to gain a shared vision and understanding of your real problem Create robust designs that implement the right functionality and quality attributes and can evolve Anticipate and avoid ubiquitous project management pitfalls Grow a culture in which behaviors actually align with what people claim to value Plan realistically for quality and build it in from the outset Use process improvement to achieve desired business results, not as an end in itself Choose your next steps to get full value from all these lessons Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Download or read book Artificial Intelligence for Business Analytics written by Felix Weber and published by Springer Nature. This book was released on 2023-03-01 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Download or read book AI Enabled Analytics for Business written by Lawrence S. Maisel and published by John Wiley & Sons. This book was released on 2022-01-10 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.

Download or read book Business Analytics for Managers written by Gert Laursen and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: "While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!"—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business.

Download or read book The PMI Guide to Business Analysis written by and published by Project Management Institute. This book was released on 2017-12-22 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Standard for Business Analysis – First Edition is a new PMI foundational standard, developed as a basis for business analysis for portfolio, program, and project management. This standard illustrates how project management processes and business analysis processes are complementary activities, where the primary focus of project management processes is the project and the primary focus of business analysis processes is the product. This is a process-based standard, aligned with A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, and to be used as a standard framework contributing to the business analysis body of knowledge.

Download or read book The CIO s Guide to Adopting Generative AI Five Keys to Success written by David Sweenor and published by TinyTechMedia LLC. This book was released on 2023-10-24 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world full of generative AI hoopla, it's easy to get lost in the maze of options and marketing hype. Don't get distracted by the vendor hype; instead, focus on building resilient, high-value platforms that will set you apart from the competition. The CIO’s Guide to Adopting Generative AI: Five Keys to Success fills a critical knowledge gap for CIOs and business leaders by succinctly offering five success factors that need to be met before an organization can successfully incorporate generative AI. To unlock the transformative business value of generative AI, business leaders must: 1) identify enterprise use cases, 2) apply context to large language models (LLMs) using their organization's data, 3) take special precautions to ensure data security and privacy, 4) implement an artificial intelligence (AI) governance framework, and 5) build manageable AI applications for business users. This report provides the keys to unlocking the true potential of generative AI. Full of use cases and real-world applications, this report is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with The CIO’s Guide to Adopting Generative AI: Five Keys to Success. Remember, it's not the tech that's tiny, it's the book!™

Download or read book Leading with AI and Analytics Build Your Data Science IQ to Drive Business Value written by Eric Anderson and published by McGraw Hill Professional. This book was released on 2020-11-23 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.

Download or read book Text Generative AI Courseware written by Van Haren Publishing and published by . This book was released on 2024-05-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: ''The course is mainly practical (applying generative AI/prompt-engineering), in action activities where you make prompts and learn best practices on Text Generative AI, while doing. Gain a comprehensive understanding of Text Generative AI and its capabilities Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases Understanding of the architecture behind the model Master the skill of prompt engineering for effective interaction with Text Generative AI Learn how to integrate Text Generative AI into existing workflows Understand the limitations and risks associated with Text Generative AI Individuals who need a basic understanding Text Generative AI Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with it Business Analyst. The course is mainly practical, with interactive activities where you make prompts and learn by doing. You will also get feedback and guidance from experienced instructors and peers. By the end of the course, you will be able to: *Gain a comprehensive understanding of Text Generative AI and its capabilities *Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases *Master the skill of prompt engineering for effective interaction with Text Generative AI *Learn how to integrate Text Generative AI into existing workflows *Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: *Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them *Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ced instructors and peers. By the end of the course, you will be able to: *Gain a comprehensive understanding of Text Generative AI and its capabilities *Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases *Master the skill of prompt engineering for effective interaction with Text Generative AI *Learn how to integrate Text Generative AI into existing workflows *Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: *Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them *Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ied (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.ced instructors and peers. By the end of the course, you will be able to: *Gain a comprehensive understanding of Text Generative AI and its capabilities *Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases *Master the skill of prompt engineering for effective interaction with Text Generative AI *Learn how to integrate Text Generative AI into existing workflows *Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: *Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them *Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ced instructors and peers. By the end of the course, you will be able to: *Gain a comprehensive understanding of Text Generative AI and its capabilities *Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases *Master the skill of prompt engineering for effective interaction with Text Generative AI *Learn how to integrate Text Generative AI into existing workflows *Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: *Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them *Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ied (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.ied (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.ced instructors and peers. By the end of the course, you will be able to: *Gain a comprehensive understanding of Text Generative AI and its capabilities *Develop critical thinking skills to evaluate the potential of Text Generative AI in different business use cases *Master the skill of prompt engineering for effective interaction with Text Generative AI *Learn how to integrate Text Generative AI into existing workflows *Understand the limitations and risks associated with Text Generative AI The course is suitable for anyone who needs a basic understanding of Text Generative AI, such as: *Professionals who want to learn the potential and pitfalls of Text Generative AI and how to deal with them *Business analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ied (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.usiness analysts, marketers, content creators, educators, researchers, and other roles that can benefit from using Text Generative AI *Students who want to explore the field of Text Generative AI and its applications The course prepares you for the EDF Certified (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field. ied (Text) Generative AI Ambassador exam, which is a certification program offered by the Effective Data Foundation (EDF) and Van Haren Certify. By passing this exam, you will become a certified Text Generative AI Ambassador and gain a competitive edge in your field.

Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Understanding Generative AI Business Applications written by Irena Cronin and published by Apress. This book was released on 2024-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, Stable Diffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success. What You Will Learn What are the technical elements that constitute the makeup of Generative AI products? What are the practical applications of Generative AI? How can algorithms be designed to automate and improve written communication? What are the latest Generative AI architectures and algorithms? Who This Book Is For Data scientists, data analysts, decision makers, and business executives interested in gaining an understanding of Generative AI products

Download or read book Generative AI in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2024-03-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the future as we journey through the next frontier of technological advancement Generative AI isn't just the biggest trend right now; it's the pinnacle of today's technological evolution. Beyond the capabilities of ChatGPT and similar AIs that can generate written content and artwork, GenAI is rewriting the rulebook. From crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs, the horizons are limitless. Picture a world where your daily news is read by your favorite celebrity, where video games conjure unparalleled universes in real-time, where machines concoct groundbreaking medicines, and where literature and courses are tailored flawlessly for you. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide not only introduces the uninitiated to this groundbreaking technology but outlines the profound and unprecedented impact of GenAI on the fabric of business and society. It's set to redefine all our jobs, revolutionize business operations, and question the very foundations of existing business models. Beyond merely altering, GenAI promises to elevate the products and services at the heart of enterprises and intricately weave itself into the tapestry of our daily lives. Through 19 enriching chapters, Marr canvases a vast array of sectors, shedding light on the most innovative real-world GenAI applications through practical examples and how they are molding the contours of various industries including retail, healthcare, education, and finance. Marr discusses the exciting innovations in media and entertainment to the seismic shifts in advertising, customer engagement and beyond, but also critically addresses the risks, challenges, and the future trajectory of GenAI. Throughout the pages of this book, you will: Navigate the complex landscapes of risks and challenges posed by GenAI. Delve into the revolutionary transformation of the job market in the age of GenAI. Discover how retail is evolving with virtual try-ons and AI-powered personalization. Dive deep into the transformative impact on education, offering truly personalized learning experiences. Witness the metamorphosis of healthcare, from AI-aided drug discoveries to custom advice. Explore the boundless potentials in media, design, banking, coding, and even the legal arena. Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology and its monumental impact on our world, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools in the appendix.