Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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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.
Kellogg On Marketing
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Author : Alexander Chernev
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-05
Kellogg On Marketing written by Alexander Chernev 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 2023-04-05 with Business & Economics categories.
The ultimate marketing resource from the world’s leading scholars From the world’s #1 MBA marketing program comes the latest edition of Kellogg on Marketing, presented by Philip Kotler and Alexander Chernev. With hundreds of pages of brand-new material on timely topics, like creating value to disrupt markets, defensive marketing strategies, strategic customer management, building strong brands, and marketing in the metaverse, the book explores foundational and advanced topics in marketing management. You’ll discover a renewed focus on digital transformation and data analytics, as well as comprehensive explanations of the strategic and tactical aspects of effective marketing. From managing business growth to identifying target customers, developing a meaningful value proposition, and data-driven marketing, every area relevant to marketing professionals is covered by expert contributors possessing unique insights into their respective competencies. Readers will also find: Discussions of the unique challenges facing brands in designing and managing their image and techniques for building resilient brands Strategies for creating loyal customers and developing personalization at scale Strategies for designing effective omni-channel marketing platforms Strategies for crafting a successful cross-platform communications campaigns Discussions on the application of data analytics and artificial intelligence to the creation of successful marketing programs An indispensable resource for any professional expected to contribute to their organization’s marketing efforts or business growth, Kellogg on Marketing, Third Edition, also earn a place in curricula of the business school educating the next generation of business leaders.
Leading Projects With Data
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Author : Marcus Glowasz
language : en
Publisher: Marcus Glowasz
Release Date : 2022-12-01
Leading Projects With Data written by Marcus Glowasz and has been published by Marcus Glowasz this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-01 with Business & Economics categories.
The use of data and analytics significantly improves project performance, but it requires a cultural foundation that connects and engages people, enables evidence-based thinking and facilitates new capabilities. In an era of rapid change and an ever-increasing flow of information, data is a highly-valued asset. Organizations are transforming business areas into data-driven practices to make better and faster decisions and respond accurately to fast-changing market behaviors and demands. The project management domain cannot afford to be left behind. Old practices will not serve the sector in the twenty-first century. That means project delivery functions must embrace new and innovative ways to deliver change. In this book, Marcus Glowasz argues the urgent need to employ data and analytics for improved project performance. Leading Projects with Data is full of actionable insights to drive the behaviors and culture shifts necessary to ensure a successful transition to data-informed project delivery practices. A thriving practice needs people with the mindset to collaborate across boundaries, learn from failure, adapt to a new normal of frequent disruption and change, and value knowledge. Diversity, transparency, and critical thinking are key drivers in the new world of project management. The future is here. Embrace it.
Succeeding With Ai
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Author : Veljko Krunic
language : en
Publisher: Manning
Release Date : 2020-03-31
Succeeding With Ai written by Veljko Krunic and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Business & Economics categories.
Summary Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that ensure they’re cost effective and focused on the right business goals. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Succeeding with AI requires talent, tools, and money. So why do many well-funded, state-of-the-art projects fail to deliver meaningful business value? Because talent, tools, and money aren’t enough: You also need to know how to ask the right questions. In this unique book, AI consultant Veljko Krunic reveals a tested process to start AI projects right, so you’ll get the results you want. About the book Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification. What's inside Where to invest for maximum payoff How AI projects are different from other software projects Catching early warnings in time to correct course Exercises and examples based on real-world business dilemmas About the reader For project and business leadership, result-focused data scientists, and engineering teams. No AI knowledge required. About the author Veljko Krunic is a data science consultant, has a computer science PhD, and is a certified Six Sigma Master Black Belt. Table of Contents: 1. Introduction 2. How to use AI in your business 3. Choosing your first AI project 4. Linking business and technology 5. What is an ML pipeline, and how does it affect an AI project? 6. Analyzing an ML pipeline 7. Guiding an AI project to success 8. AI trends that may affect you
Ai In Digital Marketing
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Author : Maria Johnsen
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-08-19
Ai In Digital Marketing written by Maria Johnsen and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.
This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in the digital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies.
Analytical Skills For Ai And Data Science
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Author : Daniel Vaughan
language : en
Publisher: O'Reilly Media
Release Date : 2020-05-21
Analytical Skills For Ai And Data Science written by Daniel Vaughan and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-21 with Computers categories.
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies
Applied Insurance Analytics
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Author : Patricia L Saporito
language : en
Publisher: FT Press
Release Date : 2014-06-16
Applied Insurance Analytics written by Patricia L Saporito and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Business & Economics categories.
Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.
Strategi Manajemen Efektif Meningkatkan Kinerja Perusahaan Di Era Digital
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Author : R. Jusdijachlan
language : id
Publisher: PT. Sonpedia Publishing Indonesia
Release Date : 2024-12-21
Strategi Manajemen Efektif Meningkatkan Kinerja Perusahaan Di Era Digital written by R. Jusdijachlan and has been published by PT. Sonpedia Publishing Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-21 with Business & Economics categories.
Buku ini adalah salah satu buku referensi yang membahas strategi manajemen yang diperlukan untuk menghadapi tantangan dan peluang di era digital. Bab pertama mengulas perubahan dinamika bisnis, peran manajemen dalam peningkatan kinerja, serta strategi adaptasi organisasi terhadap transformasi teknologi. Pembaca diajak memahami pentingnya fleksibilitas dalam menghadapi perubahan cepat dan bagaimana manajemen dapat menjadi penggerak utama dalam meningkatkan efisiensi dan produktivitas perusahaan. Bab selanjutnya fokus pada manajemen Sumber Daya Manusia (SDM) dan manajemen operasional. Pengembangan keterampilan digital, strategi rekrutmen, serta peran kepemimpinan menjadi kunci dalam mendukung tim berkinerja tinggi. Di sisi operasional, optimalisasi proses bisnis melalui teknologi digital, implementasi Lean Management, dan automasi proses dibahas untuk meningkatkan efisiensi. Buku ini dilengkapi dengan metode pengukuran kinerja berbasis data, menjadikannya panduan praktis bagi pemimpin bisnis yang ingin meraih keunggulan kompetitif di era transformasi digital.
Ceo
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Author : 노규성
language : ko
Publisher: 커뮤니케이션북스
Release Date : 2024-01-30
Ceo written by 노규성 and has been published by 커뮤니케이션북스 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Business & Economics categories.
아직도 익숙한 과거에 의존하고 있는가? AI를 활용하여 기업을 혁신적으로 이끌 수 있는 전략과 통찰력 우리는 지금, 기술의 급변하는 물결 속에서 항해하고 있다. 특히, 생성형 AI(Generative Artificial Intelligence)가 이 변화의 핵심으로 떠오르고 있다. 그간 경험과 직감으로 성공해 온 CEO에겐 별다른 느낌이 없을 수 있다. 그렇다면 큰일이 아닐 수 없다. 지금의 거대한 인공지능의 파고를 무시하거나 외면한다면, 자칫 회사를 커다란 위험에 빠뜨릴 수 있기 때문이다. 생성형 AI는 단순한 기술이 아니다. 이것은 새로운 기회를 창출하고, 비즈니스 모델을 혁신하는 도구다. 생성형 AI가 출현한 이래 그 활용 영역은 날로 확대되고 있다. 이는 AI를 도입하는 비용은 매우 적어진 반면, 그 성과는 크게 확대되고 있기 때문이다. CEO들은 이제 하루라도 늦으면 그만큼 뒤질 수밖에 없는 현실 앞에 서 있다. 단연코 머뭇거릴 여유가 없다. 서둘러 그 영향과 파괴력을 인지하고 대책을 세워 바로 실행해야 한다. 본서에서는 인공지능 앞에 선 CEO가 반드시 알아야 할 인공지능의 역할과 그 영향 열 개를 엄선하였다. 이 주제들은 AI가 CEO에게 가져다줄 효익과 관련되는 것들로서, 인공지능이 경영 및 비즈니스에 적용되는 방식과 그 영향이라 할 수 있다. 생성형 AI의 활용은 기업의 마케팅, 영업, 인재 관리 방식을 혁신적으로 변화시킬 수 있으며, 이는 경쟁 우위를 확보하는 데 결정적인 역할을 할 수 있다. 이 책을 읽은 CEO들은 AI 기술에 대한 깊은 인사이트를 얻고, AI가 기업의 성장과 지속 가능성에 어떻게 기여할 수 있는지 이해할 수 있을 것이다. 또한, AI가 가져올 미래의 변화와 도전에 대해 사전에 준비하고, 이를 통해 기업을 더욱 강력하고 혁신적으로 이끌 수 있는 방향을 모색할 수 있을 것이다.
Microsoft Azure Essentials Azure Machine Learning
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Author : Jeff Barnes
language : en
Publisher: Microsoft Press
Release Date : 2015-04-25
Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-25 with Computers categories.
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.