Big Data Analytics: Turning Big Data into Big Money
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Big Data Analytics: Turning Big Data into Big Money
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Narrated by:
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Steven Jay Cohen
About this listen
Unique insights to implement big data analytics and reap big returns to your bottom line
Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.
- Reveals big data analytics as the next wave for businesses looking for competitive advantage.
- Takes an in-depth look at the financial value of big data analytics.
- Offers tools and best practices for working with big data.
Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects to the data that is available on the outside, Big Data Analytics tells how you can leverage big data into a key component in your business's growth strategy.
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Story4 out of 5 stars 55
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
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2 out of 5 stars
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Good book for managers
- By Capnbody on 01-08-18
By: Bernard Marr
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Driving Digital
- The Leader's Guide to Business Transformation Through Technology
- By: Isaac Sacolick
- Narrated by: Tom Parks
- Length: 10 hrs and 13 mins
- Unabridged
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Overall4 out of 5 stars 43
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Performance4.5 out of 5 stars 37
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Story4 out of 5 stars 35
The race is on to become a digital enterprise. Every organization has a plan for updating products, technologies, and business processes. But that's not enough anymore. With disruptive startups outperforming industry stalwarts, executives everywhere are pushing greater growth and innovation. Staying competitive demands a complete digital transformation.
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5 out of 5 stars
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Best book I have read on Digital Transformation
- By Holistic Health on 10-20-17
By: Isaac Sacolick
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Artificial Intelligence: 101 Things You Must Know Today About Our Future
- By: Lasse Rouhiainen
- Narrated by: Rodger Paxton
- Length: 8 hrs and 17 mins
- Unabridged
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Overall4.5 out of 5 stars 47
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Performance4 out of 5 stars 41
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Story4 out of 5 stars 42
Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.
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1 out of 5 stars
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Completely useless
- By Joe V on 03-29-19
By: Lasse Rouhiainen
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Machine, Platform, Crowd
- Harnessing Our Digital Future
- By: Erik Brynjolfsson, Andrew McAfee
- Narrated by: Jeff Cummings
- Length: 10 hrs and 57 mins
- Unabridged
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Overall4.5 out of 5 stars 1,199
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Performance4.5 out of 5 stars 1,006
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Story4.5 out of 5 stars 1,001
In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.
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5 out of 5 stars
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Both How AND Why for Techies
- By Dan Collins on 08-11-17
By: Erik Brynjolfsson, and others
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What to Do When Machines Do Everything
- How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
- By: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrated by: Eric Jason Martin
- Length: 7 hrs and 28 mins
- Unabridged
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Overall4.5 out of 5 stars 269
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Performance4.5 out of 5 stars 238
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Story4.5 out of 5 stars 237
What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.
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2 out of 5 stars
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Assumes that machine learning will grow very slow
- By Nathan Burnham on 05-06-17
By: Malcolm Frank, and others
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Power and Prediction
- The Disruptive Economics of Artificial Intelligence
- By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrated by: Tom Beyer
- Length: 10 hrs and 7 mins
- Unabridged
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Overall4.5 out of 5 stars 100
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Performance4.5 out of 5 stars 88
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Story4 out of 5 stars 88
In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.
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5 out of 5 stars
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Inspire system thinking with informative examples
- By Lucy A. Pithecus on 11-16-22
By: Ajay Agrawal, and others
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The Fourth Industrial Revolution
- By: Klaus Schwab
- Narrated by: Nicholas Guy Smith
- Length: 5 hrs and 32 mins
- Unabridged
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Overall4 out of 5 stars 648
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Performance4.5 out of 5 stars 550
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Story4 out of 5 stars 550
World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.
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1 out of 5 stars
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Friendly reminding : On August 15th, 1971, the dec
- By steve white on 03-24-21
By: Klaus Schwab
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The Future of the Professions
- How Technology Will Transform the Work of Human Experts
- By: Richard Susskind, Daniel Susskind
- Narrated by: John Lee
- Length: 12 hrs and 39 mins
- Unabridged
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Overall4 out of 5 stars 271
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Performance4 out of 5 stars 224
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Story4 out of 5 stars 223
This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.
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3 out of 5 stars
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I Hope It's Not All True
- By John on 05-01-16
By: Richard Susskind, and others
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Winning with Data
- Transform Your Culture, Empower Your People, and Shape the Future
- By: Tomasz Tunguz, Frank Bien
- Narrated by: James Patrick Cronin
- Length: 5 hrs and 37 mins
- Unabridged
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Overall4 out of 5 stars 90
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Performance4.5 out of 5 stars 74
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Story4 out of 5 stars 73
Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.
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1 out of 5 stars
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Content marketing
- By Adam Winn on 12-22-16
By: Tomasz Tunguz, and others