Analytics Of Life

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Analytics of Life

Author : Mert Damlapinar
Publisher : NLITX
ISBN 13 :
Total Pages : 347 pages
Book Rating : 4./5 ( download)

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Book Synopsis Analytics of Life by : Mert Damlapinar

Download or read book Analytics of Life written by Mert Damlapinar and published by NLITX. This book was released on 2019-11-11 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* * What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, "Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology." Oxford University professor Nick Bostrom argues that if machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. MIT professor Max Tegmark describes and illuminates the recent, ground-breaking advances in Artificial Intelligence and how it might overtake human intelligence. As Oxford University economist Daniel Susskind points out, technological progress could bring about unprecedented prosperity, solving one of humanity's oldest problems: how to make sure that everyone has enough to live on. Distinguished AI researcher and professor of computer science at UC Berkeley, Russell Stuart suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history.

Analytics of Life

Author : Mert Damlapinar
Publisher :
ISBN 13 : 9781098300975
Total Pages : 348 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Analytics of Life by : Mert Damlapinar

Download or read book Analytics of Life written by Mert Damlapinar and published by . This book was released on 2020-03-14 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks, and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.Questions you can find answers* What is artificial intelligence (AI)?* What is the difference between AI, machine learning and data analytics?* Which jobs AI will replace, which jobs are safe from the data analytics revolution?* Why data analytics is the best career move?* How can I apply data analytics in my job or small business?Who is this book for?* Managers and business professionals* Marketers, product managers, and business strategists* Entrepreneurs, founders and startups team members* Consultants, advisors, and educators* Almost anybody who has an interest in the futureAccording to an article by Cade Metz in The New York Times, "Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology."Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history.

Analytics in Healthcare and the Life Sciences

Author : Dwight McNeill
Publisher : Pearson Education
ISBN 13 : 0133407330
Total Pages : 351 pages
Book Rating : 4.1/5 (334 download)

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Book Synopsis Analytics in Healthcare and the Life Sciences by : Dwight McNeill

Download or read book Analytics in Healthcare and the Life Sciences written by Dwight McNeill and published by Pearson Education. This book was released on 2014 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field's current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow's advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA's team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.

The Analytics Lifecycle Toolkit

Author : Gregory S. Nelson
Publisher : John Wiley & Sons
ISBN 13 : 1119425093
Total Pages : 464 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis The Analytics Lifecycle Toolkit by : Gregory S. Nelson

Download or read book The Analytics Lifecycle Toolkit written by Gregory S. Nelson and published by John Wiley & Sons. This book was released on 2018-03-07 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

INFORMS Analytics Body of Knowledge

Author : James J. Cochran
Publisher : John Wiley & Sons
ISBN 13 : 1119483212
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis INFORMS Analytics Body of Knowledge by : James J. Cochran

Download or read book INFORMS Analytics Body of Knowledge written by James J. Cochran and published by John Wiley & Sons. This book was released on 2018-10-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.

Data Analysis for the Life Sciences with R

Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1498775861
Total Pages : 461 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Data Analysis for the Life Sciences with R by : Rafael A. Irizarry

Download or read book Data Analysis for the Life Sciences with R written by Rafael A. Irizarry and published by CRC Press. This book was released on 2016-10-04 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Analytics of Life

Author : Mert Damlapinar
Publisher :
ISBN 13 : 9781673289671
Total Pages : 347 pages
Book Rating : 4.2/5 (896 download)

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Book Synopsis Analytics of Life by : Mert Damlapinar

Download or read book Analytics of Life written by Mert Damlapinar and published by . This book was released on 2019-12-10 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics of Life provides the reader with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses. Questions you can find answers* What is artificial intelligence (AI)? * What is the difference between AI, machine learning and data analytics? * Which jobs AI will replace, which jobs are safe from data analytics revolution? * Why data analytics is the best career move? * How can I apply data analytics in my job or small business? Who is this book for? * Managers and business professionals * Marketers, product managers, and business strategists * Entrepreneurs, founders and startups team members * Consultants, advisors and educators * Almost anybody who has an interest in the future According to an article by Cade Metz in The New York Times, "Researchers say computer systems are learning from lots and lots of digitized books and news articles that could bake old attitudes into new technology." Industry experts claim that AI will have a negative impact on blue-collar jobs, but Mert predicts that Americans and Europeans will experience a strong impact on white-collar jobs as well. And Mert also provides research results and a clear description of which jobs will be affected and how soon, which jobs could be enhanced with AI. Analytics of Life also provides solutions and insight into some of the most profound changes to come in human history.

Data Analytics and AI

Author : Jay Liebowitz
Publisher : CRC Press
ISBN 13 : 1000094677
Total Pages : 187 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Data Analytics and AI by : Jay Liebowitz

Download or read book Data Analytics and AI written by Jay Liebowitz and published by CRC Press. This book was released on 2020-08-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analytics

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1119424208
Total Pages : 304 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Analytics by : Phil Simon

Download or read book Analytics written by Phil Simon and published by John Wiley & Sons. This book was released on 2017-07-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.

Handbook of Regression Modeling in People Analytics

Author : Keith McNulty
Publisher : CRC Press
ISBN 13 : 1000427897
Total Pages : 272 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Regression Modeling in People Analytics by : Keith McNulty

Download or read book Handbook of Regression Modeling in People Analytics written by Keith McNulty and published by CRC Press. This book was released on 2021-07-29 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: • 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) • Clear step-by-step instructions on executing the analyses. • Clear guidance on how to interpret results. • Primary instruction in R but added sections for Python coders. • Discussion exercises and data exercises for each of the main chapters. • Final chapter of practice material and datasets ideal for class homework or project work.

Financial Analysis and Risk Management

Author : Victoria Lemieux
Publisher : Springer Science & Business Media
ISBN 13 : 364232231X
Total Pages : 215 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Financial Analysis and Risk Management by : Victoria Lemieux

Download or read book Financial Analysis and Risk Management written by Victoria Lemieux and published by Springer Science & Business Media. This book was released on 2012-10-20 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Global Financial Crisis and the Eurozone crisis that has followed have drawn attention to weaknesses in financial records, information and data. These weaknesses have led to operational risks in financial institutions, flawed bankruptcy and foreclosure proceedings following the Crisis, and inadequacies in financial supervisors’ access to records and information for the purposes of a prudential response. Research is needed to identify the practices that will provide the records, information and data needed to support more effective financial analysis and risk management. The unique contribution of this volume is in bringing together researchers in distinct domains that seldom interact to identify theoretical, technological, policy and practical issues related to the management of financial records, information and data. The book will, therefore, appeal to researchers or advanced practitioners in the field of finance and those with an interest in risk management, computer science, cognitive science, sociology, management information systems, information science, and archival science as applied to the financial domain.

Lean Analytics

Author : Alistair Croll
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098168151
Total Pages : 403 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Lean Analytics by : Alistair Croll

Download or read book Lean Analytics written by Alistair Croll and published by "O'Reilly Media, Inc.". This book was released on 2024-02-23 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Bringing Numbers to Life

Author : John Armitage
Publisher :
ISBN 13 : 9788792964113
Total Pages : 514 pages
Book Rating : 4.9/5 (641 download)

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Book Synopsis Bringing Numbers to Life by : John Armitage

Download or read book Bringing Numbers to Life written by John Armitage and published by . This book was released on 2016-03-01 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Size Matters: How Visual Analytics Will Bring Numbers to Life The increasing volume of quantitative data in modern communication is calling for more effective visualization design techniques to improve clarity and decision-making. The LAVA visual analytic design language proposes a new vernacular to take big data to big audiences. Big Data. The Internet of Things. Cloud Computing. Predictive Analytics. Any trip through today's information technology news will surely include some of these terms. Just as the Web and social media allow more people and institutions to connect with each other to exchange sentiment and ideas, a parallel system exists to do the same thing with quantitative facts. An ever-more automated array of sensors and monitors embedded in our businesses, governments, physical infrastructures, vehicles, the environment, and even our bodies, are being added to the more traditional practice of manual observation and data entry in the effort to record and store the daily up-and-down states of stuff we care about. The variables are called Measures, and include things like sales, windspeed, steps taken, or heart rate. The things being measured are called Entities, such as a car model, an airport, your family, or your heart. Combining Measures with Entities creates Metrics - Sales at a cash register or of a car model, windspeed at the airport, steps taken by your family today, your resting heart rate. Metrics are how we understand quantitative data from the world around us. Analytics is the science of working with metrics to make better, more informed decisions in our work and lives. Visual Analytics is the expression of metrics geometrically - with lines and shapes versus with numbers in spreadsheets - so as to make them easier to understand and interpret. As more metrics are made available and relevant to more people, presenting them visually is a key aspect of ensuring that audiences find them legible - or clear and able to be read - and readable - or enticing and likely to be read. While these dual masters of function and elegance are present in all design practice, visual analytics require a balance skewed in favor of clarity, efficiency, mathematical precision, and measureable audience cognition.

The Analytics Lifecycle Toolkit

Author : Gregory S. Nelson
Publisher : John Wiley & Sons
ISBN 13 : 1119425107
Total Pages : 365 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis The Analytics Lifecycle Toolkit by : Gregory S. Nelson

Download or read book The Analytics Lifecycle Toolkit written by Gregory S. Nelson and published by John Wiley & Sons. This book was released on 2018-03-07 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

Data Lives

Author : Kitchin, Rob
Publisher : Policy Press
ISBN 13 : 1529215153
Total Pages : 274 pages
Book Rating : 4.5/5 (292 download)

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Book Synopsis Data Lives by : Kitchin, Rob

Download or read book Data Lives written by Kitchin, Rob and published by Policy Press. This book was released on 2021-02-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The word ‘data’ has entered everyday conversation, but do we really understand what it means? How can we begin to grasp the scope and scale of our new data-rich world, and can we truly comprehend what is at stake? In Data Lives, renowned social scientist Rob Kitchin explores the intricacies of data creation and charts how data-driven technologies have become essential to how society, government and the economy work. Creatively blending scholarly analysis, biography and fiction, he demonstrates how data are shaped by social and political forces, and the extent to which they influence our daily lives. He reveals our data world to be one of potential danger, but also of hope.

Analytics in the Age of Artificial Intelligence: The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence

Download Analytics in the Age of Artificial Intelligence: The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence PDF Online Free

Author : Priyo Chatterjee
Publisher : Atlantic Publishing Company
ISBN 13 : 1620237695
Total Pages : 227 pages
Book Rating : 4.6/5 (22 download)

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Book Synopsis Analytics in the Age of Artificial Intelligence: The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence by : Priyo Chatterjee

Download or read book Analytics in the Age of Artificial Intelligence: The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence written by Priyo Chatterjee and published by Atlantic Publishing Company. This book was released on 2021-07-07 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is a significant development in the technological landscape, and it is poised to be a veritable game-changer for all concerned. Given globalization and the winner-take-all market dynamics, there is a “superstar” effect at play in most markets, where a select few companies capture a lion’s share of the market, as well as the profit. Given this environment, Analytics goes from becoming a “good to have” to a “must have” if organizations are to take this opportunity to leverage the power of artificial intelligence and other adjacent technologies in an impactful manner. In this book, Priyo Chatterjee, drawing on his years of experience in the Analytics and Data Science space, takes a methodical approach to Analytics by first demonstrating why it has become so critical in “The Age of Artificial Intelligence.” Then he shows how companies can become more Analytical and, thereby, successful in deploying artificial intelligence strategies.

Building a Digital Analytics Organization

Author : Judah Phillips
Publisher : FT Press
ISBN 13 : 0133372812
Total Pages : 369 pages
Book Rating : 4.1/5 (333 download)

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Book Synopsis Building a Digital Analytics Organization by : Judah Phillips

Download or read book Building a Digital Analytics Organization written by Judah Phillips and published by FT Press. This book was released on 2013-07-25 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.