{"product_id":"architecting-enterprise-ai-applications-a-guide-to-designing-reliable-scalable-and-secure-enterprise-grade-ai-solutions-paperback","title":"Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAnton Cagle\u003c\/b\u003e (Author), \u003cb\u003eAhmed Mohamed Ceifelnasr Ahmed\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them.\u003c\/p\u003e \u003cp\u003eThe book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, machine learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate.\u003c\/p\u003e \u003cp\u003eThis book is a comprehensive guide that not only equips developers, architects, and product owners with the technical know-how of AI application development, but also delves into the broader implications for teams and society.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the algorithms and processes that enable AI to make accurate predictions and enhance decision making\u003c\/li\u003e \u003cli\u003eGrasp the concept of metasystems and their role in the design phase of AI applications\u003c\/li\u003e \u003cli\u003eKnow how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications\u003c\/li\u003e \u003cli\u003eKnow the architectural components necessary for scalable and maintainable multi-agent AI applications\u003c\/li\u003e \u003cli\u003eUnderstand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications\u003c\/li\u003e \u003cli\u003eUnderstand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWho This book Is For\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eA diverse audience, primarily targeting enterprise architects, middle managers, tech leads, and team leads entrenched in the IT sector or possessing a tech-savvy background, including professionals such as digital marketers. Additionally, tech-savvy individual contributors-ranging from digital content creators and data analysts to administrators and programmers-stand to benefit significantly.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them.\u003c\/p\u003e \u003cp\u003eThe book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, machine learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate.\u003c\/p\u003e \u003cp\u003eThis book is a comprehensive guide that not only equips developers, architects, and product owners with the technical know-how of AI application development, but also delves into the broader implications for teams and society.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the algorithms and processes that enable AI to make accurate predictions and enhance decision making\u003c\/li\u003e \u003cli\u003eGrasp the concept of metasystems and their role in the design phase of AI applications\u003c\/li\u003e \u003cli\u003eKnow how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications\u003c\/li\u003e \u003cli\u003eKnow the architectural components necessary for scalable and maintainable multi-agent AI applications\u003c\/li\u003e \u003cli\u003eUnderstand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications\u003c\/li\u003e \u003cli\u003eUnderstand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAnton Cagle\u003c\/strong\u003e is a seasoned leader specializing in cloud automation and AI Ops, boasting over two decades of expertise in enterprise architecture and application design. With a passion for delivering democratized, data-driven solutions and automation, Anton focuses on empowering medium to large-sized companies. His dedication extends to mentoring and coaching engineers at all skill levels, fostering a culture of continuous learning and innovation.\u003c\/p\u003e \u003cp\u003eRecognizing the pivotal role of cloud, data, and AI in shaping the future of business software, Anton is on a mission to guide companies beyond basic automation solutions. His goal is to seamlessly integrate big data and machine learning into organizational frameworks, preparing businesses for the next wave of scalable operations. Anton's approach has led to remarkable transformations for clients, including the reduction of deployment process waste, accelerated feature time to market, and the implementation of cutting-edge cloud data architectures.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAhmed Ceifelnasr Ahmed \u003c\/strong\u003eis a highly skilled ML engineer, data scientist, and cloud engineer with over six years of experience in developing and deploying data-driven solutions. Ahmed specializes in building and fine-tuning machine learning models, leveraging advanced deep learning techniques, and optimizing cloud-based solutions. His expertise extends to cloud engineering and DevOps practices, where he excels in designing and implementing scalable, efficient cloud architectures and automating deployment processes.\u003c\/p\u003e \u003cp\u003eWith hands-on experience in AWS Cloud environments and a strong background in cloud tools, Ahmed is adept at integrating AI with cloud technologies to create robust, production-ready solutions. He has a proven track record of driving impactful results across various industries, from retail and real estate to fitness and enterprise applications.\u003c\/p\u003e \u003cp\u003eAhmed is committed to continuous learning and growth, always seeking to make a significant impact in the fields of AI, data science, and cloud engineering. His career reflects his dedication to advancing technology, optimizing cloud infrastructure, and fostering innovation through data-driven strategies and cutting-edge technology.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 286\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 18, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53176976474419,"sku":"9798868809019","price":66.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/CiyGkMbp539798868809019.webp?v=1774601549","url":"https:\/\/www.vysn.com\/en-ca\/products\/architecting-enterprise-ai-applications-a-guide-to-designing-reliable-scalable-and-secure-enterprise-grade-ai-solutions-paperback","provider":"VYSN","version":"1.0","type":"link"}