Building Business Ready Generative Ai Systems
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Building Business Ready Generative Ai Systems
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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-25
Building Business Ready Generative Ai Systems written by Denis Rothman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models. Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free. Key Features Build an adaptive, context-aware AI controller with advanced memory strategies Enhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT) Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fit Book DescriptionIn today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers. You'll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system’s intelligence with powerful multimodal capabilities—including image generation, voice interactions, and machine-driven reasoning—leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI’s suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data, all wrapped in a polished, investor-ready interface. By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.What you will learn Implement an AI controller with a conversation AI agent and orchestrator at its core Build contextual awareness with short-term, long-term, and cross-session memory Design cross-domain automation with multimodal reasoning, image generation, and voice features Expand a CoT agent by integrating consumer-memory understanding Integrate cutting-edge models of your choice without disrupting your existing GenAISys Connect to real-time external data while blocking security breaches Who this book is for This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.
Generative Ai With Amazon Bedrock
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Author : Shikhar Kwatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31
Generative Ai With Amazon Bedrock written by Shikhar Kwatra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025
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Author : Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025 written by Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving landscape of technology, enterprises are increasingly turning to artificial intelligence (AI) to drive innovation, efficiency, and growth. The integration of AI into enterprise architecture has shifted from a trend to an essential strategy for businesses looking to maintain a competitive edge. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is written to explore the transformative impact of AI across all layers of enterprise systems, from data engineering and analytics to innovative generative AI technologies that are reshaping industries. In today’s digital age, businesses face an explosion of data that is often unstructured, decentralized, and sold. For AI to truly revolutionize enterprise systems, there must be a solid architecture that not only supports large-scale data processing but also enables the seamless integration of AI technologies into every corner of the organization. This book takes a comprehensive approach to AI-driven enterprise architecture, focusing on the technical, strategic, and operational challenges and opportunities associated with AI adoption. The journey from data engineering to generative AI requires a solid foundation of data management and processing capabilities. The book begins by discussing the critical importance of data engineering, the practice of building robust systems for collecting, storing, and transforming data into actionable insights. Understanding how to build and maintain efficient data pipelines, databases, and data lakes forms the backbone of AI integration in an enterprise. This foundational understanding sets the stage for deploying machine learning (ML) models and AI-driven tools, which require sophisticated infrastructure to function on a scale. The integration of machine learning and AI models into enterprise architecture is the central focus of this book. As businesses recognize the value of AI in improving decision-making, automation, and customer experiences, this book guides readers through how to implement AI across multiple enterprise functions. From predictive analytics and automation to natural language processing (NLP) and computer vision, we will examine how these AI technologies interact with existing enterprise systems to create smarter, more efficient business operations. One of the most exciting and rapidly advancing fields in AI is generative AI—a technology that can create new data, designs, or content based on learned patterns. Generative AI tools like GPT-3, DALL-E, and stable diffusion models are now being used to generate text, images, code, and even video. The power of these models lies in their ability to produce new, high-quality content that can be harnessed for marketing, customer engagement, product development, and innovation. This book explores how generative AI fits within the broader enterprise architecture and how businesses can leverage these capabilities to unlock new value streams, foster creativity, and enhance productivity. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is designed for business leaders, data engineers, architects, and AI practitioners who are looking to understand the potential of AI in their organizations. Through real-world case studies, best practices, and technical insights, this book aims to provide a holistic view of how AI-driven enterprise architecture can deliver long-term strategic value. The book also delves into the challenges and ethical considerations of AI implementation, particularly with regard to data privacy, algorithmic bias, and governance, ensuring that AI is deployed responsibly and sustainably. As businesses embrace AI technologies, it is clear that the future of enterprise architecture will be driven by data-centric, AI-powered models that allow organizations to be more adaptive, responsive, and innovative. This book offers a roadmap for navigating that future, helping organizations transform their architecture to support the AI-driven, intelligent enterprise of tomorrow. We invite you to embark on this journey through the evolving world of AI-driven enterprise architecture, where the combination of data engineering, machine learning, and generative AI is shaping the future of businesses across the globe. Authors
The Generative Ai Practitioner S Guide
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Author : Arup Das
language : en
Publisher: TinyTechMedia LLC
Release Date : 2024-07-20
The Generative Ai Practitioner S Guide written by Arup Das and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-20 with Computers categories.
Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™
Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide
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Author : Gaurav H Kankaria
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-07-09
Ultimate Aws Certified Ai Practitioner Aif C01 Exam Guide written by Gaurav H Kankaria and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Computers categories.
TAGLINE Your Complete Roadmap to AWS AI Practitioner Success—Simplified, Practical, and Designed to Help You Pass with Confidence. KEY FEATURES ● Gain in-depth knowledge of AWS AI services, Generative AI, and ethical considerations for business and technical use cases. ● Master essential AWS AI/ML tools to stay ahead in the evolving landscape of cloud-based artificial intelligence solutions. ● Prepare confidently with real-world examples, clear explanations, and targeted exam questions for the AWS AI Practitioner certification. DESCRIPTION In today’s AI-powered world, earning the AWS Certified AI Practitioner (AIF-C01) certification is a powerful way to validate your skills, boost your credibility, and stand out in the competitive cloud job market. Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide is a comprehensive, beginner-friendly roadmap for professionals, students, and decision-makers looking to master AI and Machine Learning on AWS—and crack the AIF-C01 exam with confidence. Covering everything from AI and ML fundamentals to core AWS services like SageMaker, Bedrock, and Rekognition, this guide also explores Generative AI, vision and language-based AI use cases, and practical tools for personalization, security, and governance. You'll gain clarity on responsible AI principles, learn to identify and mitigate bias, and confidently navigate AWS best practices in ethics and compliance. Each chapter offers real-world examples, exam strategies, and practice questions designed to reinforce key concepts and simulate the exam environment. Whether you're technical or non-technical, the content is simplified for easy understanding—without sacrificing depth or relevance. If you're serious about working in AI or cloud, this certification isn't just a bonus—it’s becoming a must-have. Don’t miss your chance to stay ahead of the curve—master AWS AI and future-proof your career now. WHAT WILL YOU LEARN ● Understand foundational concepts of AI, Machine Learning, and Generative AI for modern cloud applications. ● Gain hands-on experience with AWS AI/ML services like SageMaker, Bedrock and Rekognition to build intelligent solutions. ● Learn to build, train, fine-tune, and deploy machine learning models using Amazon SageMaker. ● Apply responsible AI practices by identifying and mitigating ethical risks, biases, and fairness issues in AI solutions. ● Secure your AI workloads through AWS best practices in governance, compliance, and data protection. ● Access targeted exam tips, mock questions, and real-world examples to confidently clear the AWS AI Practitioner certification. WHO IS THIS BOOK FOR? This book is ideal for aspiring AI/cloud professionals, tech sales teams, business leaders, and students seeking a foundational understanding of artificial intelligence using AWS. Whether you're new to cloud or aiming to crack the AWS Certified AI Practitioner (AIF-C01) exam, this guide equips you with the essential skills to succeed. TABLE OF CONTENTS 1. Introduction to the AWS AI Practitioner Certification Exam 2. Overview of AI and ML on AWS 3. Core AWS Services and Tools for AI and ML 4. Introduction to Gen AI and AWS Gen AI Services 5. Key Use Cases of Generative AI on AWS 6. Building AI Solutions with Amazon SageMaker 7. Other AWS AI Services 8. Ethics, Bias, and Responsible AI Practices 9. Security and Governance Best Practices for AI 10. Exam Tips, Practice Questions, and the Future of AI Index
Generative Ai Mastery
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Author : Ethan Westwood
language : en
Publisher: SMART Books
Release Date :
Generative Ai Mastery written by Ethan Westwood and has been published by SMART Books this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Discover the limitless possibilities of artificial intelligence with Generative AI Mastery, the ultimate resource for creators, innovators, and professionals looking to harness the transformative power of Generative AI. This book offers a deep dive into frameworks and strategies that empower you to unlock AI’s full potential in your projects. Far from a technical manual, this book focuses on providing actionable frameworks, practical insights, and inspiring examples to help you integrate AI into your creative and professional endeavors. Whether you’re crafting visuals, generating content, or optimizing processes, this guide equips you with the tools to think strategically and innovate boldly. Inside, you'll explore: - Key concepts demystified: Understand how Generative AI works and why it matters. - Frameworks for success: Proven approaches to applying AI effectively in creative and business contexts. - Real-world applications: Inspiring use cases from industries ranging from art to technology. - Ethical insights: How to use AI responsibly while fostering innovation. Generative AI Mastery is your essential companion to navigating the ever-expanding frontier of AI creativity. Whether you're a curious beginner or a seasoned professional, this book provides the knowledge and inspiration you need to master the art of working with AI. Reimagine what’s possible with Generative AI—your future starts here.
The Adaptive Startup System Build And Grow A Business Around Your Gifts Skills And Interests
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Author : Boomy Tokan
language : en
Publisher: Boomy Tokan
Release Date : 2025-01-24
The Adaptive Startup System Build And Grow A Business Around Your Gifts Skills And Interests written by Boomy Tokan and has been published by Boomy Tokan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-24 with Business & Economics categories.
Discover a Practical Guide to Turning Your Passion Into a Thriving Business In a fast-paced, ever-changing world, traditional business strategies often fall short. The Adaptive Startup System provides a flexible, innovative approach designed for entrepreneurs who want to harness their unique skills, resources, and interests to build successful ventures. Through 11 actionable steps, author Boomy Tokan demystifies entrepreneurship, offering insights and tools to: # Identify your ideal business idea by aligning it with your talents, skills, and passions. # Spot opportunities in unexpected places and turn challenges into growth. # Leverage partnerships and networks to amplify your success. # Embrace innovation and adapt to market trends for long-term resilience. # Overcome internal barriers like Imposter Syndrome and the "I'll be happy when..." mindset. Featuring real-life examples, practical exercises, and a focus on innovation and adaptability, this book equips you to start small, pivot smart, and scale confidently. Whether you’re launching your first business or looking to take your side hustle to the next level, The Adaptive Startup System is your blueprint for success in the digital age. Start where you are. Use what you have. Build something extraordinary.
The Palgrave Handbook Of Breakthrough Technologies In Contemporary Organisations
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Author : Mahmoud Moussa
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
The Palgrave Handbook Of Breakthrough Technologies In Contemporary Organisations written by Mahmoud Moussa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Business & Economics categories.
This handbook traverses the broad spectrum of ICT management, engaging readers to consider not only the beneficial transformations triggered by these technologies but also the organisational challenges they present. From the disruption brought about by machine learning to the vast opportunities unleashed by the evolution of big data analytics to the revolution of financial technology (FinTech), this handbook offers a thorough and comprehensive journey through the landscape of ICT. The focus is not solely on the breakthrough technologies themselves, but the intricate patterns of their evolution, adoption, management, and the subsequent ripples they create in the organisational fabric. The handbook challenges current views, provokes new insights, and inspires a futuristic view of managing ICT in the ever-evolving business landscape.
Convergence Of Internet Of Medical Things Iomt And Generative Ai
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Author : Kumar, V. Vinoth
language : en
Publisher: IGI Global
Release Date : 2025-02-05
Convergence Of Internet Of Medical Things Iomt And Generative Ai written by Kumar, V. Vinoth and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. Generative AI revolutionizes global health in areas like medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.
Building A Resilient Sap Enterprise
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Author : Soulat Khan
language : en
Publisher: BPB Publications
Release Date : 2025-06-18
Building A Resilient Sap Enterprise written by Soulat Khan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.
SAP's transformation from on-premises solutions to cloud-first offerings represents a paradigm shift for enterprise architecture. RISE and GROW with SAP are redefining how organizations deploy, customize, and extend SAP applications in the cloud era, creating opportunities for innovation alongside new architectural challenges. This book navigates contemporary SAP solutions, ensuring that an enterprise remains robust and future-ready. This book takes you through modern SAP development, from clean core methodology and essential skill modernization for SAP developers and architects, alongside SAP's latest cloud deployment models like RISE and GROW. You will explore the entire SAP Development Platform, including SAP BTP, Build tools, and generative AI integration. The book then explores designing resilient SAP applications using low-code and no-code approaches, cloud extensibility with Steampunk and Embedded Steampunk, and ABAP cloud development with SAP APIs and ADT. Crucially, it also covers vital aspects of application security and cost management. By the end of this book, you will be equipped to architect resilient SAP solutions that leverage the combined power of SAP BTP and hyperscaler services, ensuring your enterprise can innovate rapidly while maintaining security, performance, and operational excellence in an increasingly complex cloud landscape. WHAT YOU WILL LEARN ● Implement clean core methodology to maximize SAP upgrade efficiency. ● Navigate the RISE and GROW licensing models and technical implications. ● Integrate SAP BTP with hyperscaler services for scalable solutions. ● Leverage generative AI to enhance SAP business processes. ● Apply well-architected principles to SAP BTP applications. ● Manage security and costs across hybrid SAP landscapes. ● Design highly available, resilient SAP applications with low-code/no-code. WHO THIS BOOK IS FOR This book is designed for SAP architects, developers, and technical leaders responsible for enterprise SAP transformation. It is ideal for professionals seeking to evolve from traditional ABAP development to modern cloud-native SAP implementation strategies. TABLE OF CONTENTS 1. Introduction to the Modern SAP Enterprise 2. Overview of SAP’s Latest Offers, RISE and GROW 3. SAP Business Technology Platform and Cloud Provider Integration 4. Introduction to Generative AI 5. Building Well-Architected Applications on SAP BTP 6. Managing Application Security and Costs 7. Concluding Remarks and Additional Resources