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Redefining Life Sciences with Artificial Intelligence and Blockchain
- Narrado por: Amy Gravlee
- Duración: 9 h y 6 m
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Resumen del Editor
A fresh and very insightful approach to how AI and blockchain technologies can be applied in the life sciences has emerged. Ellen Debra Crayton’s Redefining Life Sciences with Artificial Intelligence and Blockchain is a myth-shattering look at how these ground breaking technologies will impact the health-care, pharmaceutical, and food service delivery systems. From organic and low latency data capture, provenance, security, and analytics to the promise of anonymity, privacy, security, and immutability, the blockchain technology promises to disrupt how we consume data and use it to improve our lives. Artificial intelligence gives our computers the power to learn, analyze, feel, deduce, and execute. Fed with protected and verified data, artificial intelligence algorithms can achieve the kind of predictive analytics that could avert disasters and identify diagnostic patterns that could help save human lives and alleviate suffering.
In her book, Ellen introduces some of these exciting opportunities in the health-care, pharmaceutical, and food industries. She infuses relevant and recognizable use cases with a simple and flowing writing style that creates a pleasant and enjoyable listen.
This gripping book takes you deep into the challenges that these industries face and the possibilities that AI and block-chain technologies provide.
If professionals and industries in the life sciences field are ready to make the advances that are discussed herein, then listening to Redefining Life Science with Artificial Intelligence and Blockchain gives the prospective innovator a huge head start in defining their thought processes and providing direction. Both experts and laypersons will enjoy Ellen Debra Crayton’s presentation of these exciting new possibilities in the field of life sciences. Grab a copy of this fascinating book today.
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Historia
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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I Hope It's Not All True
- De John en 05-01-16
De: Richard Susskind, y otros
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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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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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Assumes that machine learning will grow very slow
- De Nathan Burnham en 05-06-17
De: Malcolm Frank, y otros
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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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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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Very insightful, but quite boring
- De Riaan en 02-21-17
De: John Rossman
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System Error
- Where Big Tech Went Wrong and How We Can Reboot
- De: Rob Reich, Mehran Sahami, Jeremy M. Weinstein
- Narrado por: Kaleo Griffith
- Duración: 11 h y 28 m
- Versión completa
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In no more than the blink of an eye, a naïve optimism about technology’s liberating potential has given way to a dystopian obsession with biased algorithms, surveillance capitalism, and job-displacing robots. System Error exposes the root of our current predicament - how big tech’s relentless focus on optimization is driving a future that reinforces discrimination, erodes privacy, displaces workers, and pollutes the information we get- and outlines steps we can take to change course, renew our democracy, and save ourselves.
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Excellent on tech. Weak on political speech.
- De Kindle Customer en 11-05-21
De: Rob Reich, y otros
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Driving Digital
- The Leader's Guide to Business Transformation Through Technology
- De: Isaac Sacolick
- Narrado por: Tom Parks
- Duración: 10 h y 13 m
- Versión completa
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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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Best book I have read on Digital Transformation
- De Holistic Health en 10-20-17
De: Isaac Sacolick
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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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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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Both How AND Why for Techies
- De Dan Collins en 08-11-17
De: Erik Brynjolfsson, y otros
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