Data And Ai
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Driving Digital Transformation Through Data And Ai
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Author : Alexander Borek
language : en
Publisher: Kogan Page
Release Date : 2020-09-29
Driving Digital Transformation Through Data And Ai written by Alexander Borek and has been published by Kogan Page this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-29 with Business & Economics categories.
Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.
Data Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2020-08-06
Data Analytics And Ai written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
Smarter Data Science
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Author : Neal Fishman
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-03
Smarter Data Science written by Neal Fishman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-03 with Computers categories.
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.
An Introduction To Data
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Author : Francesco Corea
language : en
Publisher: Springer
Release Date : 2018-11-27
An Introduction To Data written by Francesco Corea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Technology & Engineering categories.
This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
Data Strategy
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Author : Bernard Marr
language : en
Publisher: Kogan Page Publishers
Release Date : 2025-09-03
Data Strategy written by Bernard Marr and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-03 with Computers categories.
Every business needs data to survive. Build and implement a strategy to take advantage of data and generate critical insights with renowned data expert and one of the world's leading voices in business Bernard Marr. Data Strategy is the key to building a robust approach to data that will give business leaders the competitive advantage they need to succeed in the digital economy. From small organizations to huge multinationals, a data-driven strategy gives every organization the tools to revolutionize their uses of data to deliver impact and profits. By building the right strategy to collect, use and manage data, this book will prepare any organization for the data-driven future. In its fully updated third edition, this bestselling title covers the latest advances in data and AI. With updates covering synthetic data, generative AI, the potential of quantum computing and expanded content on cybersecurity, regulations and ethics, this book shows how to craft your own strategy. Bernard Marr uses his unrivalled expertise to show how you can gain an edge in the rapidly changing data-driven world.
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.
Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.
The Ultimate Data And Ai Guide
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Author : Alexander Thamm
language : en
Publisher:
Release Date : 2020
The Ultimate Data And Ai Guide written by Alexander Thamm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Artificial Intelligence And Big Data
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Author : Fernando Iafrate
language : en
Publisher: John Wiley & Sons
Release Date : 2018-02-15
Artificial Intelligence And Big Data written by Fernando Iafrate and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-15 with Computers categories.
With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
Fusion Strategy
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Author : Vijay Govindarajan
language : en
Publisher: Harvard Business Press
Release Date : 2024-03-12
Fusion Strategy written by Vijay Govindarajan and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-12 with Business & Economics categories.
Two world-renowned experts on innovation and digital strategy explore how real-time data and AI will radically transform physical products—and the companies that make them. Tech giants like Facebook, Amazon, and Google can collect real-time data from billions of users. For companies that design and manufacture physical products, that type of fluid, data-rich information used to be a pipe dream. Now, with the rise of cheap and powerful sensors, supercomputing, and artificial intelligence, things are changing—fast. In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkatraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best—create physical products—with what digitals do best—use algorithms and AI to parse expansive, interconnected datasets—to make strategic connections that would otherwise be impossible. The laws of competitive advantage are changing, rewarding those who have the most robust, data-driven insights rather than the most valuable assets. To compete in the new digital age, companies need to use real-time data to turbocharge their products, strategies, and customer relationships. Those that don't risk falling on the wrong side of the next great digital divide. Fusion Strategy is the way forward.
Data Ai Imperative
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Author : Lillian Pierson
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-03
Data Ai Imperative written by Lillian Pierson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-03 with Computers categories.
Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth. With over two decades of experience, Pierson unveils her proprietary STAR framework through which you'll learn to survey, take stock of, and assess your company's current state. Finally, you'll be guided on how to recommend strategies that drive growth via the execution of optimally positioned data- and AI- intensive projects or products that directly improve your business bottom line. From conception to execution, learn to: Identify high-impact opportunities for data or AI interventions within your business. Assess your organization's readiness and data literacy to ensure successful outcomes. Implement practical, effective tactics for overseeing your data-intensive projects, from strategic plans to profitable realities. Develop and deploy AI and data strategies that exceed your business goals. While ideal for executives, managers, and other leaders of data- or AI-intensive companies, The Data & AI Imperative is also invaluable to data and technical professionals who aspire to elevate their impact by turning technical expertise into strategic leadership success.