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Verlag: Bpb Publications 6/19/2021, 2021
ISBN 10: 9390684706 ISBN 13: 9789390684700
Sprache: Englisch
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Verlag: Packt Publishing 11/24/2021, 2021
ISBN 10: 1800562128 ISBN 13: 9781800562127
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI. Book.
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In den Warenkorbpaperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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ISBN 10: 7520738906 ISBN 13: 9787520738903
Sprache: Englisch
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2024-05 Publisher: Oriental Publishing House Generative AI is a technology that generates text. pictures. sounds. videos. codes and other content based on algorithms. models and rules. ChatGPT. which we are familiar with. is a generative AI. From 2022 to 2024. the adoption rate of generative AI will nearly triple. In the next two to three years. investment in generative AI is expected to increase fourfold. We are ushering in a decisive moment for generati.
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In den Warenkorbpaperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2020-08-01 Pages: 455 Publisher: Machinery Industry Press Numbers of Enterprise AI Advantages: IT Giants Chapter 1 Overview Cognitive Technology Overall Use in Large Organizations and Suppliers background. This chapter also describes seven key technologies and sample applications. The second chapter explores some of the artificial intelligence in the enterprise .
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A power-packed manual to enhance your decision-making with the application of Business Rules using KIE, Drools, Kogito, MS Excel, Power Automate, Office Script, and MS FormsPurchase of the print or Kindle book includes a free PDF Elektronisches Buch Key Features:Explore the business rule tools by implementing real-world examples to write sophisticated rules Discover how decision services solve current business challenges using AI Combine rules with workflows and scripting to deploy a cloud-based production environment Book Description: Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel. This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft's business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You'll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing. By the end of the book, you'll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You'll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools. What You Will Learn:Use KIE and Drools decision services to write AI-based business rules Link Business Rules to Excel using Power Query, Script Lab, Office Script, and VBA Build an end-to-end workflow with Microsoft Power Automate and Forms while integrating it with Excel and Kogito Collaborate on and deploy your decision models using OpenShift, Azure, and GitHub Discover advanced editing using the graphical Decision Model Notation (DMN) and testing tools Use Kogito to combine AI solutions with Excel Who this book is for: This book is for Excel power users, business users, and business analysts looking for a tool to capture their knowledge and deploy it as part of enterprise-grade systems. Working proficiency with MS Excel is required. Basic knowledge of web technologies and scripting would be an added advantage.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key Features:Explore data virtualization by accessing data in real time without moving it Unify the data and AI experience with the integrated end-to-end platform Explore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scale Book Description: Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What You Will Learn:Understand the importance of digital transformations and the role of data and AI platforms Get to grips with data architecture and its relevance in driving AI adoption using IBM's AI Ladder Understand Cloud Pak for Data, its value proposition, capabilities, and unique differentiators Delve into the pricing, packaging, key use cases, and competitors of Cloud Pak for Data Use the Cloud Pak for Data ecosystem with premium IBM and third-party services Discover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVs Who this book is for: This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.