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Generative AI on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159195
Total Pages : 312 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Generative AI on AWS by : Chris Fregly

Download or read book Generative AI on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2023-11-13 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

GenAI on AWS

Author : Asif Abbasi
Publisher : Wiley
ISBN 13 : 9781394281282
Total Pages : 0 pages
Book Rating : 4.2/5 (812 download)

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Book Synopsis GenAI on AWS by : Asif Abbasi

Download or read book GenAI on AWS written by Asif Abbasi and published by Wiley. This book was released on 2024-11-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modern Data Architecture on AWS

Author : Behram Irani
Publisher : Packt Publishing Ltd
ISBN 13 : 1801810125
Total Pages : 420 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Modern Data Architecture on AWS by : Behram Irani

Download or read book Modern Data Architecture on AWS written by Behram Irani and published by Packt Publishing Ltd. This book was released on 2023-08-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.

Generative AI on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159195
Total Pages : 312 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Generative AI on AWS by : Chris Fregly

Serverless Development on AWS

Author : Sheen Brisals
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098141903
Total Pages : 501 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Serverless Development on AWS by : Sheen Brisals

Download or read book Serverless Development on AWS written by Sheen Brisals and published by "O'Reilly Media, Inc.". This book was released on 2024-01-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adoption of serverless is on the rise, but until now, little guidance has been available for development teams that want to apply this technology on AWS. This definitive guide is packed with architectural, security, and data best practices and patterns for architects and engineers who want to build reliable enterprise-scale serverless solutions. Sheen Brisals, an AWS Serverless Hero, and Luke Hedger, an AWS Community Builder, outline the serverless adoption requirements for an enterprise, examine the development tools your team needs, and explain in depth the nuances of testing event-driven and distributed serverless services. You'll gain practical guidance for keeping up with change and learn how to build serverless solutions with sustainability in mind. Examine the serverless technology ecosystem and AWS services needed to develop serverless applications Learn the approach and preparation required for a successful serverless adoption in an enterprise Learn serverless architectures and implementation patterns Design, develop, and test distributed serverless microservices on AWS cloud Apply security best practices while building serverless solutions Identify and adapt the implementation patterns for your particular use case Incorporate the necessary measures for observable serverless applications Implement sustainable serverless applications in the cloud

Advanced Data Analytics with AWS

Author : Joseph Conley
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197081891
Total Pages : 268 pages
Book Rating : 4.1/5 (97 download)

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Book Synopsis Advanced Data Analytics with AWS by : Joseph Conley

Download or read book Advanced Data Analytics with AWS written by Joseph Conley and published by Orange Education Pvt Ltd. This book was released on 2024-04-17 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Fundamentals of Data Analytics at Scale KEY FEATURES ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns DESCRIPTION Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. WHAT WILL YOU LEARN ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. WHO IS THIS BOOK FOR? This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks. TABLE OF CONTENTS 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index

Modern Data Architecture on AWS

Author : Behram Irani
Publisher : Packt Publishing Ltd
ISBN 13 : 1801810125
Total Pages : 420 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Modern Data Architecture on AWS by : Behram Irani

Solutions Architect's Handbook

Author : Saurabh Shrivastava
Publisher : Packt Publishing Ltd
ISBN 13 : 1835084362
Total Pages : 579 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Solutions Architect's Handbook by : Saurabh Shrivastava

Download or read book Solutions Architect's Handbook written by Saurabh Shrivastava and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.

Automated Machine Learning on AWS

Author : Trenton Potgieter
Publisher : Packt Publishing
ISBN 13 : 9781801811828
Total Pages : 420 pages
Book Rating : 4.8/5 (118 download)

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Book Synopsis Automated Machine Learning on AWS by : Trenton Potgieter

Download or read book Automated Machine Learning on AWS written by Trenton Potgieter and published by Packt Publishing. This book was released on 2022-04-15 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more Key Features: Explore the various AWS services that make automated machine learning easier Recognize the role of DevOps and MLOps methodologies in pipeline automation Get acquainted with additional AWS services such as Step Functions, MWAA, and more to overcome automation challenges Book Description: AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services. Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team. By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production. What You Will Learn: Employ SageMaker Autopilot and Amazon SageMaker SDK to automate the machine learning process Understand how to use AutoGluon to automate complicated model building tasks Use the AWS CDK to codify the machine learning process Create, deploy, and rebuild a CI/CD pipeline on AWS Build an ML workflow using AWS Step Functions and the Data Science SDK Leverage the Amazon SageMaker Feature Store to automate the machine learning software development life cycle (MLSDLC) Discover how to use Amazon MWAA for a data-centric ML process Who this book is for: This book is for the novice as well as experienced machine learning practitioners looking to automate the process of building, training, and deploying machine learning-based solutions into production, using both purpose-built and other AWS services. A basic understanding of the end-to-end machine learning process and concepts, Python programming, and AWS is necessary to make the most out of this book.

Data Analytics in the AWS Cloud

Author : Joe Minichino
Publisher : Sybex
ISBN 13 : 9781119909248
Total Pages : 400 pages
Book Rating : 4.9/5 (92 download)

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Book Synopsis Data Analytics in the AWS Cloud by : Joe Minichino

Download or read book Data Analytics in the AWS Cloud written by Joe Minichino and published by Sybex. This book was released on 2023-01-05 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible roadmap to performing data analytics in the AWS cloud In Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS, accomplished software engineer and data architect Joe Minichino delivers an expert blueprint to storing, processing, analyzing data on the Amazon Web Services cloud platform. In the book, you’ll explore every relevant aspect of data analytics—from data engineering to analysis, business intelligence, DevOps, and MLOps—as you discover how to integrate machine learning predictions with analytics engines and visualization tools. You’ll also find: Real-world use cases of AWS architectures that demystify the applications of data analytics Accessible introductions to data acquisition, importation, storage, visualization, and reporting Expert insights into serverless data engineering and how to use it to reduce overhead and costs, improve stability, and simplify maintenance A can't-miss for data architects, analysts, engineers and technical professionals, Data Analytics in the AWS Cloud will also earn a place on the bookshelves of business leaders seeking a better understanding of data analytics on the AWS cloud platform.

Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394245564
Total Pages : 313 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Generative AI in Practice by : Bernard Marr

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.

Security and Microservice Architecture on AWS

Author : Gaurav Raje
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098101421
Total Pages : 396 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Security and Microservice Architecture on AWS by : Gaurav Raje

Download or read book Security and Microservice Architecture on AWS written by Gaurav Raje and published by "O'Reilly Media, Inc.". This book was released on 2021-09-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their responses are often more reactive than proactive. This leads to unnecessarily complicated systems that are hard to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead. Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud while ensuring that the development and operational experience isn't compromised. By leveraging the AWS Shared Responsibility Model, you'll be able to: Develop a modular architecture using microservices that aims to simplify compliance with various regulations in finance, medicine, and legal services Introduce various AWS-based security controls to help protect your microservices from malicious actors Leverage the modularity of the architecture to independently scale security mechanisms on individual microservices Improve the security posture without compromising the autonomy or efficiency of software development teams

Intelligent Workloads at the Edge

Author : Indraneel Mitra
Publisher : Packt Publishing Ltd
ISBN 13 : 1801818878
Total Pages : 374 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Intelligent Workloads at the Edge by : Indraneel Mitra

Download or read book Intelligent Workloads at the Edge written by Indraneel Mitra and published by Packt Publishing Ltd. This book was released on 2022-01-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.

Learning AWS IoT

Author : Agus Kurniawan
Publisher :
ISBN 13 : 9781788396110
Total Pages : 278 pages
Book Rating : 4.3/5 (961 download)

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Book Synopsis Learning AWS IoT by : Agus Kurniawan

Download or read book Learning AWS IoT written by Agus Kurniawan and published by . This book was released on 2018-01-29 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use AWS IoT services to build your connected applications with the help of this comprehensive guide. Key Features Gets you started with AWS IoT and its functionalities Learn different modules of AWS IoT with practical use cases. Learn to secure your IoT communication Book Description The Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. AWS IoT is currently leading the market with its wide range of device support SDKs and versatile management console. This book initially introduces you to the IoT platforms, and how it makes our IoT development easy. It then covers the complete AWS IoT Suite and how it can be used to develop secure communication between internet-connected things such as sensors, actuators, embedded devices, smart applications, and so on. The book also covers the various modules of AWS: AWS Greengrass, AWS device SDKs, AWS IoT Platform, AWS Button, AWS Management consoles, AWS-related CLI, and API references, all with practical use cases. Near the end, the book supplies security-related best practices to make bi-directional communication more secure. When you've finished this book, you'll be up-and-running with the AWS IoT Suite, and building IoT projects. What you will learn Implement AWS IoT on IoT projects Learn the technical capabilities of AWS IoT and IoT devices Create IoT-based AWS IoT projects Choose IoT devices and AWS IoT platforms to use based on the kind of project you need to build Deploy AWS Greengrass and AWS Lambda Develop program for AWS IoT Button Visualize IoT AWS data Build predictive analytics using AWS IoT and AWS Machine Learning Who this book is for This book is for anyone who wants to get started with the AWS IoT Suite and implement it with practical use cases. This book acts as an extensive guide, on completion of which you will be in a position to start building IoT projects using AWS IoT platform and using cloud services for your projects.

Intelligent Document Processing with AWS AI/ML

Author : Sonali Sahu
Publisher : Packt Publishing
ISBN 13 : 9781801810562
Total Pages : 0 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis Intelligent Document Processing with AWS AI/ML by : Sonali Sahu

Download or read book Intelligent Document Processing with AWS AI/ML written by Sonali Sahu and published by Packt Publishing. This book was released on 2022-10-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world artificial intelligence applications across industries with the help of intelligent document processing Key Features: Tackle common document processing problems to extract value from any type of document Unlock deeper levels of insights on IDP in a more structured and accelerated way using AWS AI/ML Apply your knowledge to solve real document analysis problems in various industry applications Book Description: With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs. This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You'll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems. By the end of this AWS book, you'll have mastered the fundamentals of document processing with machine learning through practical implementation. What You Will Learn: Understand the requirements and challenges in deriving insights from a document Explore common stages in the intelligent document processing pipeline Discover how AWS AI/ML can successfully automate IDP pipelines Find out how to write clean and elegant Python code by leveraging AI Get to grips with the concepts and functionalities of AWS AI services Explore IDP across industries such as insurance, healthcare, finance, and the public sector Determine how to apply business rules in IDP Build, train, and deploy models with serverless architecture for IDP Who this book is for: This book is for technical professionals and thought leaders who want to understand and solve business problems by leveraging insights from their documents. If you want to learn about machine learning and artificial intelligence, and work with real-world use cases such as document processing with technology, this book is for you. To make the most of this book, you should have basic knowledge of AI/ML and python programming concepts. This book is also especially useful for developers looking to explore AI/ML with industry use cases.

Building Multi-Tenant SaaS Architectures

Author : Tod Golding
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098140605
Total Pages : 481 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Building Multi-Tenant SaaS Architectures by : Tod Golding

Download or read book Building Multi-Tenant SaaS Architectures written by Tod Golding and published by "O'Reilly Media, Inc.". This book was released on 2024-04-24 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting a multi-tenant SaaS model requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is partitioned, how resources are isolated, how tenants are authenticated, how microservices are built—these are just a few of the many areas that need to be on your radar when you're designing and creating SaaS offerings. In this book, Tod Golding, a global SaaS technical lead at AWS, provides an end-to-end view of the SaaS architectural landscape, outlining the practical techniques, strategies, and patterns that every architect must navigate as part of building a SaaS environment. Describe, classify, and characterize core SaaS patterns and strategies Identify the key building blocks, trade-offs, and considerations that will shape the design and implementation of your multi-tenant solution Examine essential multi-tenant architecture strategies, including tenant isolation, noisy neighbor, data partitioning, onboarding, identity, and multi-tenant DevOps Explore how multi-tenancy influences the design and implementation of microservices Learn how multi-tenancy shapes the operational footprint of your SaaS environment

Applied Machine Learning for Healthcare and Life Sciences Using AWS

Author : Ujjwal Ratan
Publisher : Packt Publishing
ISBN 13 : 9781804610213
Total Pages : 0 pages
Book Rating : 4.6/5 (12 download)

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Book Synopsis Applied Machine Learning for Healthcare and Life Sciences Using AWS by : Ujjwal Ratan

Download or read book Applied Machine Learning for Healthcare and Life Sciences Using AWS written by Ujjwal Ratan and published by Packt Publishing. This book was released on 2022-11-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations Key Features: Learn about healthcare industry challenges and how machine learning can solve them Explore AWS machine learning services and their applications in healthcare and life sciences Discover practical coding instructions to implement machine learning for healthcare and life sciences Book Description: While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics. This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications. By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence. What You Will Learn: Explore the healthcare and life sciences industry Find out about the key applications of AI in different industry segments Apply AI to medical images, clinical notes, and patient data Discover security, privacy, fairness, and explainability best practices Explore the AWS ML stack and key AI services for the industry Develop practical ML skills using code and AWS services Discover all about industry regulatory requirements Who this book is for: This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.