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Author: Rob Thomas
Publisher: O'Reilly Media
ISBN: 9781492073437
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
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. With this practical report, business leaders will discover where they are in their AI journey and learn the steps they still need to take to implement an AI solution in their organization. Author Rob Thomas, general manager of data and AI at IBM, introduces C-suite executives and line-of-business professionals to the AI Ladder--a unified, prescriptive approach to help them accelerate their AI journey, no matter where they are in the process. This succinct report explores AI's drivers, value, and opportunity, as well as the adoption challenges organizations now face. Learn why you can't have AI without IA (information architecture) Unify data within a multicloud environment to unlock its value Make data accessible by collecting every type, regardless of where it lives Create a business-ready analytics foundation with built-in governance, protection, and compliance Benefit from AI models by learning smarter ways to analyze data Operationalize AI across multiple departments and within various processes
Author: Rob Thomas
Publisher: O'Reilly Media
ISBN: 9781492073437
Category : Business & Economics
Languages : en
Pages : 200
Get Book
Book Description
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. With this practical report, business leaders will discover where they are in their AI journey and learn the steps they still need to take to implement an AI solution in their organization. Author Rob Thomas, general manager of data and AI at IBM, introduces C-suite executives and line-of-business professionals to the AI Ladder--a unified, prescriptive approach to help them accelerate their AI journey, no matter where they are in the process. This succinct report explores AI's drivers, value, and opportunity, as well as the adoption challenges organizations now face. Learn why you can't have AI without IA (information architecture) Unify data within a multicloud environment to unlock its value Make data accessible by collecting every type, regardless of where it lives Create a business-ready analytics foundation with built-in governance, protection, and compliance Benefit from AI models by learning smarter ways to analyze data Operationalize AI across multiple departments and within various processes
Author: Rob Thomas
Publisher: "O'Reilly Media, Inc."
ISBN: 1492073385
Category : Computers
Languages : en
Pages : 238
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Book Description
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
Publisher: O'Reilly Media
ISBN: 1492073407
Category : Computers
Languages : en
Pages : 226
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Book Description
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: Hemanth Manda
Publisher: Packt Publishing Ltd
ISBN: 1800567405
Category : Computers
Languages : en
Pages : 337
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Book Description
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: Greg Egan
Publisher: Greg Egan
ISBN: 1922240060
Category : Fiction
Languages : en
Pages : 243
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Book Description
For twenty thousand years, every observable phenomenon in the universe has been successfully explained by the Sarumpaet Rules: the laws governing the dynamics of the quantum graphs that underlie all the constituents of matter and the geometric structure of spacetime. Now Cass has stumbled on a set of quantum graphs that might comprise the fundamental particles of an entirely different kind of physics, and she has travelled three hundred and seventy light years to Mimosa Station, a remote experimental facility, in the hope of bringing this tantalising alternative to life. The “novo-vacuum” is predicted to begin decaying the instant it’s created, but even a short-lived, microscopic speck could shed light on the origins of the universe, and test the Sarumpaet Rules more rigorously than ever before. Cass’s experiment turns out to be more successful than anticipated: the novo-vacuum is more stable than the ordinary vacuum around it, and a region in which the new physics holds sway proceeds to expand out from Mimosa at half the speed of light. Six hundred years later, more than two thousand inhabited systems have been lost to the novo-vacuum. On the Rindler, a ship that has matched velocities with the encroaching border, people have come from throughout inhabited space to study the phenomenon. Most are Preservationists, hunting for a way to turn back the tide, but a few belong to another faction: Yielders, who believe that the challenge of adapting to survive on the far side of the border would reinvigorate a civilisation that has grown stale and insular. Tchicaya has come to the Rindler to join the Yielders, but when Mariama — a childhood friend whose example inspired him to abandon his own home world and traditions for a life of travel — arrives soon after, he is shocked to discover that she plans to help the Preservationists find a way to destroy the novo-vacuum. As a theoretical breakthrough leads to a sequence of experiments that begins to reveal the true richness of the world behind the border, tensions between the opposing factions grow. When a splinter group responds to these revelations with violent, unilateral action, Tchicaya and Mariama are forced into an uneasy alliance, and travel together through the border, balancing old and new loyalties against the fate of two incomparably different universes.
Author: David Carmona
Publisher: O'Reilly Media
ISBN: 1492057347
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
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: Judea Pearl
Publisher: Basic Books
ISBN: 0465097618
Category : Computers
Languages : en
Pages : 432
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Book Description
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: John Boyne
Publisher: Hogarth
ISBN: 1984823035
Category : Fiction
Languages : en
Pages : 400
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Book Description
“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: Steven Astorino
Publisher: MC Press
ISBN: 9781583478929
Category : Computers
Languages : en
Pages : 0
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Book Description
From humble evolutions in research papers and labs, artificial intelligence (AI)--which encompasses Machine Learning (ML) and Deep Learning (DL)--has matured in its many forms, infused in applications that can learn on their own and become progressively smarter with each interaction and transaction. Coupled with immense stores of data, maturity in CPU and GPU hardware, the invention of new, open source deep learning algorithms, and cloud technologies, operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before. This book attempts to help the reader on their AI journey by covering the concepts of AI, Machine Learning, and Deep Learning in its many forms; key ML and DL algorithms data scientists should learn; ethical challenges for the use of AI; how AI is being used across industries; possible future outlook for AI, and an AI Ladder to help accelerate the AI journey.
Author: Neal Fishman
Publisher: John Wiley & Sons
ISBN: 1119694388
Category : Computers
Languages : en
Pages : 304
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Book Description
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.
