The Ai Ladder
Download The Ai Ladder full books in PDF, epub, and Kindle. Read online free The Ai Ladder ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Rob Thomas |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 238 |
| Release | : 2020-04-30 |
| Genre | : Computers |
| ISBN | : 1492073385 |
AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows
| Author | : Rob Thomas (Information technology executive) |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Artificial intelligence |
| ISBN | : |
| Author | : Hemanth Manda |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 337 |
| Release | : 2021-11-24 |
| Genre | : Computers |
| ISBN | : 1800567405 |
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 FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook 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 learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho 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.
| Author | : Maya Soetoro-Ng |
| Publisher | : Candlewick Press |
| Total Pages | : 49 |
| Release | : 2013-03-26 |
| Genre | : Juvenile Fiction |
| ISBN | : 076366667X |
From Maya Soetoro-Ng, sister of President Obama, comes a lyrical story relaying the loving wisdom of their late mother to a young granddaughter she never met. (Ages 4-8) Features an audio read-along performed by the author! Little Suhaila wishes she could have known her grandma, who would wrap her arms around the whole world if she could, Mama says. And one night, Suhaila gets her wish when a golden ladder appears at her window, and Grandma Annie invites the girl to come along with her on a magical journey. In a rich and deeply personal narrative, Maya Soetoro-Ng draws inspiration from her mother’s love for family, her empathy for others, and her ethic of service to imagine this remarkable meeting. Evoking fantasy and folklore, the story touches on events that have affected people across the world in our time and reaffirms our common humanity. Yuyi Morales’s breathtaking artwork illuminates the dreamlike tale, reminding us that loved ones lost are always with us, and that sometimes we need only look at the moon and remember.
| Author | : Neal Fishman |
| Publisher | : John Wiley & Sons |
| Total Pages | : 304 |
| Release | : 2020-04-09 |
| Genre | : Computers |
| ISBN | : 1119694388 |
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.
| Author | : David Carmona |
| Publisher | : O'Reilly Media |
| Total Pages | : 260 |
| Release | : 2019-11-12 |
| Genre | : Business & Economics |
| ISBN | : 1492057347 |
Much in the same way that software transformed business in the past two decades, AI is set to redefine organizations and entire industries. Just as every company is a software company today, every company will soon be an AI company. This practical guide explains how business and technical leaders can embrace this new breed of organization. Based on real customer experience, Microsoft’s David Carmona covers the journey necessary to become an AI Organization—from applying AI in your business today to the deep transformation that can empower your organization to redefine the industry. You'll learn the core concepts of AI as they are applied to real business, explore and prioritize the most appropriate use cases for AI in your company, and drive the organizational and cultural change needed to transform your business with AI.
| Author | : Adrián González Sánchez |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 275 |
| Release | : 2024-06-27 |
| Genre | : Computers |
| ISBN | : 1098154959 |
Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies
| Author | : John Boyne |
| Publisher | : Hogarth |
| Total Pages | : 400 |
| Release | : 2018-11-13 |
| Genre | : Fiction |
| ISBN | : 1984823035 |
“A satire of writerly ambition wrapped in a psychological thriller . . . An homage to Patricia Highsmith, Oscar Wilde and Edgar Allan Poe, but its execution is entirely Boyne’s own.”—Ron Charles, The Washington Post NAMED ONE OF THE BEST BOOKS OF THE YEAR BY THE WASHINGTON POST AND MINNEAPOLIS STAR TRIBUNE Maurice Swift is handsome, charming, and hungry for fame. The one thing he doesn’t have is talent—but he’s not about to let a detail like that stand in his way. After all, a would-be writer can find stories anywhere. They don’t need to be his own. Working as a waiter in a West Berlin hotel in 1988, Maurice engineers the perfect opportunity: a chance encounter with celebrated novelist Erich Ackermann. He quickly ingratiates himself with the powerful – but desperately lonely – older man, teasing out of Erich a terrible, long-held secret about his activities during the war. Perfect material for Maurice’s first novel. Once Maurice has had a taste of literary fame, he knows he can stop at nothing in pursuit of that high. Moving from the Amalfi Coast, where he matches wits with Gore Vidal, to Manhattan and London, Maurice hones his talent for deceit and manipulation, preying on the talented and vulnerable in his cold-blooded climb to the top. But the higher he climbs, the further he has to fall. . . . Sweeping across the late twentieth century, A Ladder to the Sky is a fascinating portrait of a relentlessly immoral man, a tour de force of storytelling, and the next great novel from an acclaimed literary virtuoso. Praise for A Ladder to the Sky “Boyne's mastery of perspective, last seen in The Heart's Invisible Furies, works beautifully here. . . . Boyne understands that it's far more interesting and satisfying for a reader to see that narcissist in action than to be told a catchall phrase. Each step Maurice Swift takes skyward reveals a new layer of calumny he's willing to engage in, and the desperation behind it . . . so dark it seems almost impossible to enjoy reading A Ladder to the Sky as much as you definitely will enjoy reading it.”—NPR “Delicious . . . spins out over several decades with thrilling unpredictability, following Maurice as he masters the art of co-opting the stories of others in increasingly dubious ways. And while the book reads as a thriller with a body count that would make Highsmith proud, it is also an exploration of morality and art: Where is the line between inspiration and thievery? To whom does a story belong?”—Vanity Fair
| Author | : Judea Pearl |
| Publisher | : Basic Books |
| Total Pages | : 432 |
| Release | : 2018-05-15 |
| Genre | : Computers |
| ISBN | : 0465097618 |
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
| Author | : Joseph Dain |
| Publisher | : IBM Redbooks |
| Total Pages | : 108 |
| Release | : 2020-08-11 |
| Genre | : Computers |
| ISBN | : 073845902X |
This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.
