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Artificial Intelligence Business Applications
- How to Learn Applied Artificial Intelligence and Use Data Science for Business. Includes Data Analytics, Machine Learning for Business and Python
- Narrado por: Michael Fryar
- Duración: 3 h y 55 m
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Resumen del Editor
Do you want to learn the progress made in the web marketing space and how you can exploit it for your marketing strategies? Do you want to gain an edge over your business’s competitors?
If you want to know how artificial intelligence technology can give your business a major performance boost, then keep reading.
The fourth industrial revolution is upon us, led by the artificial intelligence technology and setting the humankind for a global social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the artificial intelligence technology to increase your business performance efficiency. Learning to incorporate the artificial intelligence applications, machine learning, and big data analytics in line with your company’s domain can only give your business positive results.
Our aim with this audiobook is to provide you a 360 view of the fundamentals and importance of artificial intelligence technology.
You will learn:
- The fundamentals of artificial intelligence and machine learning applications, and why are they so important in the world today.
- Gain an in-depth understanding of 12 of the most popular artificial intelligence tools in the market, in an easy to understand and colloquial language.
- The science of big data and how companies are increasingly employing good analytical tools to makes sense of an estimated 1.7 MB of data that will be generated per second per person by 2020.
- What different types of machine learning algorithms are and how they work to make machines able to learn and train themselves with repeated use.
Even if you are a beginner, you will be armed to make sound personal and professional technological choices.
Would you like to know more?
Get this audiobook now to get access to artificial intelligence power.
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General4.5 out of 5 stars 47
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Narración:4 out of 5 stars 41
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Historia4 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
- De Joe V en 03-29-19
De: Lasse Rouhiainen
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Human + Machine
- Reimagining Work in the Age of AI
- De: Paul R. Daugherty, H. James Wilson
- Narrado por: Jamie Renell
- Duración: 5 h y 55 m
- Versión completa
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General4 out of 5 stars 331
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Narración:4.5 out of 5 stars 283
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Historia4 out of 5 stars 283
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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3 out of 5 stars
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A golf course book
- De C. Surdak en 07-30-18
De: Paul R. Daugherty, y otros
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The Business of Platforms
- Strategy in the Age of Digital Competition, Innovation, and Power
- De: Michael A. Cusumano, Annabelle Gawer, David B. Yoffie
- Narrado por: Sean Patrick Hopkins
- Duración: 8 h y 7 m
- Versión completa
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General4.5 out of 5 stars 188
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Narración:4.5 out of 5 stars 148
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Historia4.5 out of 5 stars 148
A trio of experts on high-tech business strategy and innovation reveal the principles that have made platform businesses the most valuable firms in the world and the first trillion-dollar companies.
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5 out of 5 stars
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Outside the voice it’s great!
- De Scott Janney en 01-01-21
De: Michael A. Cusumano, y otros
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Machine, Platform, Crowd
- Harnessing Our Digital Future
- De: Erik Brynjolfsson, Andrew McAfee
- Narrado por: Jeff Cummings
- Duración: 10 h y 57 m
- Versión completa
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General4.5 out of 5 stars 1,195
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Narración:4.5 out of 5 stars 1,002
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Historia4.5 out of 5 stars 997
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
- De Dan Collins en 08-11-17
De: Erik Brynjolfsson, y otros
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The Fourth Industrial Revolution
- De: Klaus Schwab
- Narrado por: Nicholas Guy Smith
- Duración: 5 h y 32 m
- Versión completa
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General4 out of 5 stars 645
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Narración:4.5 out of 5 stars 547
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Historia4 out of 5 stars 547
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
- De steve white en 03-24-21
De: Klaus Schwab
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The Amazon Way on IoT
- 10 Principles for Every Leader from the World's Leading Internet of Things Strategies
- De: John Rossman
- Narrado por: Christopher Lane
- Duración: 5 h y 13 m
- Versión completa
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General4 out of 5 stars 192
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Narración:4.5 out of 5 stars 166
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Historia4 out of 5 stars 161
The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.
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3 out of 5 stars
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Very insightful, but quite boring
- De Riaan en 02-21-17
De: John Rossman
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Data Driven
- Harnessing Data and AI to Reinvent Customer Engagement
- De: Tom Chavez, Chris O'Hara, Vivek Vaidya
- Narrado por: LJ Ganser
- Duración: 6 h y 17 m
- Versión completa
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General4 out of 5 stars 116
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Narración:4.5 out of 5 stars 101
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Historia4 out of 5 stars 101
The team behind the data management platform that helps fuel Salesforce - the number one customer relationship management (CRM) company in the world - presents this indispensable guide to data-powered marketing. You’ll discover the three principles for building a successful data strategy and the five sources of data-driven power. You’ll hear how top companies put these data-driven strategies into action. And if you’re wondering what the future holds, you’ll receive seven forecasts to better prepare you for what may come next.
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2 out of 5 stars
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No accompanying PDF?
- De Amazon Customer en 06-21-19
De: Tom Chavez, y otros
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Modern Monopolies
- What It Takes to Dominate the 21st Century Economy
- De: Nicholas L. Johnson, Alex Moazed
- Narrado por: Jonathan Yen
- Duración: 10 h y 7 m
- Versión completa
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General4.5 out of 5 stars 235
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Narración:4.5 out of 5 stars 188
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Historia4.5 out of 5 stars 187
What do Google, Snapchat, Tinder, Amazon, and Uber have in common, besides soaring market share? They're platforms - a new business model that has quietly become the only game in town. A platform, by definition, creates value by facilitating an exchange between two or more interdependent groups. So, rather than making things, they simply connect people. The advent of mobile computing and its ubiquitous connectivity have forever altered how we interact with each other. Yet, few people truly grasp the radical structural shifts of the last 10 years.
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5 out of 5 stars
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Mostly notes for myself or highlights of the book
- De Gary H. en 11-16-17
De: Nicholas L. Johnson, y otros
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Blockchain 2023 Investing
- Web 3.0 Coins, A.I., Crypto, Bitcoin, Blockchain-as-a-Service (BaaS), Buy Stocks in Blockchains Disruptive Technologies, Investment Strategies in the Future Revolution
- De: NFT Trending Crypto Art
- Narrado por: Blockchain Coach
- Duración: 5 h y 27 m
- Versión completa
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General5 out of 5 stars 30
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Narración:5 out of 5 stars 29
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Historia4.5 out of 5 stars 29
Despite the crash that happened in 2022, there are still investment opportunities in blockchain technology. In this book, you will find new information and confirm that blockchain opportunities exist in the future. You will also learn how blockchain technology will reshape the future.
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5 out of 5 stars
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I enjoyed it
- De Anonymous User en 09-22-23
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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
- De: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrado por: Eric Jason Martin
- Duración: 7 h y 28 m
- Versión completa
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General4.5 out of 5 stars 267
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Narración:4.5 out of 5 stars 236
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Historia4.5 out of 5 stars 235
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
- De Nathan Burnham en 05-06-17
De: Malcolm Frank, y otros