Data-Driven Mergers and Personalization∗
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Artificial Intelligence in Health Care: the Hope, the Hype, the Promise, the Peril
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, Editors WASHINGTON, DC NAM.EDU PREPUBLICATION COPY - Uncorrected Proofs NATIONAL ACADEMY OF MEDICINE • 500 Fifth Street, NW • WASHINGTON, DC 20001 NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM). Publication by the NAM worthy of public attention, but does not constitute endorsement of conclusions and recommendationssignifies that it is the by productthe NAM. of The a carefully views presented considered in processthis publication and is a contributionare those of individual contributors and do not represent formal consensus positions of the authors’ organizations; the NAM; or the National Academies of Sciences, Engineering, and Medicine. Library of Congress Cataloging-in-Publication Data to Come Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America. Suggested citation: Matheny, M., S. Thadaney Israni, M. Ahmed, and D. Whicher, Editors. 2019. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. NAM Special Publication. Washington, DC: National Academy of Medicine. PREPUBLICATION COPY - Uncorrected Proofs “Knowing is not enough; we must apply. Willing is not enough; we must do.” --GOETHE PREPUBLICATION COPY - Uncorrected Proofs ABOUT THE NATIONAL ACADEMY OF MEDICINE The National Academy of Medicine is one of three Academies constituting the Nation- al Academies of Sciences, Engineering, and Medicine (the National Academies). The Na- tional Academies provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. -
July 23, 2020 the Honorable William P. Barr Attorney General United
July 23, 2020 The Honorable William P. Barr Attorney General United States Department of Justice 950 Pennsylvania Avenue, NW Washington, DC 20530 Dear Attorney General Barr: We write to raise serious concerns regarding Google LLC’s (Google) proposed acquisition of Fitbit, Inc. (Fitbit).1 We are aware that the Antitrust Division of the Department of Justice is investigating this transaction and has issued a Second Request to gather additional information about the acquisition’s potential effects on competition.2 Amid reports that Google is offering modest, short-term concessions to overseas enforcers to avoid a full-scale investigation of the transaction in Europe,3 we write to urge the Division to continue with its efforts to conduct a thorough and comprehensive review of this proposed merger and to take any and all enforcement action warranted by the law and the evidence. It is no exaggeration to say that Google is under intense antitrust scrutiny across the globe. As you know, the company has been under investigation for potential anticompetitive conduct across a number of product markets by the Department and numerous state attorneys general, as well as by a number of foreign competition enforcers, some of which are also reviewing the proposed Fitbit acquisition. Competition concerns about Google are widespread and bipartisan. Against this backdrop, in November 2019, Google announced its proposed acquisition of Fitbit for $2.1 billion, a staggering 71 percent premium over Fitbit’s pre-announcement stock price.4 Fitbit—which makes wearable technology devices, such as smartwatches and fitness trackers— has more than 28 million active users submitting sensitive location and health data to the company. -
Digital Economy Compass
Digital Economy Compass Mai 2017 “At least 40% of all businesses will die in the next 10 years… if they don’t figure out how to change their entire company to accommodate new technologies.” John Chambers, Chairman of Cisco System 2 Welcome to the Digital Economy Compass Less talking, more facts – our idea behind creating the Digital Economy Compass. It contains facts, trends and key players, covering the entire digital economy. We provide… › key essentials from our research, › actionable insights, › Statista’s exclusive forecasts. This very first edition will provide everything you need to know about the digital economy. Your Digital Market Outlook Team 3 Table of Contents Global Trends › Connectivity: Numbers behind the “always on” trend…………………………... 5 › Social Media: Love it, hate it, but accept that you need it…………………... 20 › Platform Economics: A story about White Sharks and Swordfish……… 30 › Venture Capital: Feed for new Tech-Unicorns…………………………………...... 83 › AI, AR and VR: The next big Technology Hype………………………………………. 91 Statista’s Digital Market Outlook › e-Commerce……………………... 106 › FinTech…………………………………. 148 › eServices……………………………. 117 › Digital Advertising…………….... 160 › eTravel ………………………………. 129 › Smart Home……………………...... 171 › Digital Media……………………...138 › Connected Car…………………….. 181 4 Connectivity 2,570,792 e-mails per second The global number of e-mails sent per second resulted in around 81 trillion e-mails sent during 2016. Source: internetlivestats.com Connectivity The world is more connected than ever, a development which -
Artificial Intelligence
TechnoVision The Impact of AI 20 18 CONTENTS Foreword 3 Introduction 4 TechnoVision 2018 and Artificial Intelligence 5 Overview of TechnoVision 2018 14 Design for Digital 17 Invisible Infostructure 26 Applications Unleashed 33 Thriving on Data 40 Process on the Fly 47 You Experience 54 We Collaborate 61 Applying TechnoVision 68 Conclusion 77 2 TechnoVision 2018 The Impact of AI FOREWORD We introduce TechnoVision 2018, now in its eleventh year, with pride in reaching a second decade of providing a proven and relevant source of technology guidance and thought leadership to help enterprises navigate the compelling and yet complex opportunities for business. The longevity of this publication has been achieved through the insight of our colleagues, clients, and partners in applying TechnoVision as a technology guide and coupling that insight with the expert input of our authors and contributors who are highly engaged in monitoring and synthesizing the shift and emergence of technologies and the impact they have on enterprises globally. In this edition, we continue to build on the We believe that with TechnoVision 2018, you can framework that TechnoVision has established further crystalize your plans and bet on the right for several years with updates on last years’ technology disruptions, to continue to map and content, reflecting new insights, use cases, and traverse a successful digital journey. A journey technology solutions. which is not about a single destination, but rather a single mission to thrive in the digital epoch The featured main theme for TechnoVision 2018 through agile cycles of transformation delivering is AI, due to breakthroughs burgeoning the business outcomes. -
Alphabet Company 2021 Report
Alphabet Company 2021 Report 22 January 2021 ALPHABET ALPHABET COMPANY COMPANY OVERVIEW Alphabet, Inc. is a holding company, which engages in the business of acquisition and operation of different companies. It operates through the Google and Other Bets segments. The Google segment includes its main Internet products such as ads, Android, Chrome, hardware, Google Cloud, Google Maps, Google Play, Search, and YouTube. The Other Bets segment consists of businesses such as Access, Calico, CapitalG, GV, Verily, Waymo, and X. The company was founded by Lawrence E. Page and Sergey Mikhaylovich Brin on October 2, 2015 and is headquartered in Mountain View, CA. The company currently falls under ‘Mega-Cap’ category with current market capitalization of 1100 B. Market capitalization usually refers to the total value of a company’s stock within the entire market. Google’s namesake search engine and YouTube video service are gateways to the internet for billions of people and have become more essential as they transact and entertain online to avoid the virus. Advertisers have turned to Google’s ad system to let shoppers know about deals and adjusted service offerings as the economy chugs along again. ALPHABET FINANCIALS - Q3 2020 The company beat estimates across the board, following its first-ever revenue decline in Q2. The results showed a strong rebound in its core advertising business, which was hit hard by customer spending pullbacks amid the Covid-19 pandemic. Total revenues of $46.2 billion in the third quarter reflect broad based growth led by an increase in advertiser spend in Search and YouTube as well as continued strength in Google Cloud and Play $46.17 BILLION On the company’s earnings call, CEO Sundar Pichai said, “This year, including this REVENUE quarter, showed how valuable Google’s founding product, search, has been to people.” Pichai said starting next quarter, it will report operating income for its cloud $16.40 business, joining Amazon in giving investors EARNINGS PER SHARE more details. -
The Importance of Generation Order in Language Modeling
The Importance of Generation Order in Language Modeling Nicolas Ford∗ Daniel Duckworth Mohammad Norouzi George E. Dahl Google Brain fnicf,duckworthd,mnorouzi,[email protected] Abstract There has been interest in moving beyond the left-to-right generation order by developing alter- Neural language models are a critical compo- native multi-stage strategies such as syntax-aware nent of state-of-the-art systems for machine neural language models (Bowman et al., 2016) translation, summarization, audio transcrip- and latent variable models of text (Wood et al., tion, and other tasks. These language models are almost universally autoregressive in nature, 2011). Before embarking on a long-term research generating sentences one token at a time from program to find better generation strategies that left to right. This paper studies the influence of improve modern neural networks, one needs ev- token generation order on model quality via a idence that the generation strategy can make a novel two-pass language model that produces large difference. This paper presents one way of partially-filled sentence “templates” and then isolating the generation strategy from the general fills in missing tokens. We compare various neural network design problem. Our key techni- strategies for structuring these two passes and cal contribution involves developing a flexible and observe a surprisingly large variation in model quality. We find the most effective strategy tractable architecture that incorporates different generates function words in the first pass fol- generation orders, while enabling exact computa- lowed by content words in the second. We be- tion of the log-probabilities of a sentence. -
Incorporating Authentic Video Into Language-Learning Mobile Applications
Incorporating Authentic Video into Language-learning Mobile Applications Andrew Watabe A project submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Arts J. Paul Warnick, Chair Rob Alan Martinsen Rob Reynolds Center for Language Studies Brigham Young University Copyright © 2021 Andrew Watabe All Rights Reserved ABSTRACT Incorporating Authentic Video into Language-learning Mobile Applications Andrew Watabe Center for Language Studies, BYU Master of Arts Authentic content in language materials can provide learners with meaningful contexts that enhance language learning (Shrum & Glisan, 2016). This project seeks to create a Japanese- learning iOS app that teaches language directly from authentic Japanese YouTube videos. The app provides a video library where users can find videos on a variety of topics such as food, music, beauty, and games. Each video features video captions, vocabulary exercises, and grammar drills based on the language used in the video. Students enrolled in Japanese classes at Brigham Young University were asked to test out the app and provide feedback on their experience. The participants enjoyed the authentic content and found the written transcripts of the videos to be helpful to their learning. They also requested additional content and features to improve the app. Based on the participants’ comments, we created a plan of action including future updates for the app. Keywords: CALL, authentic texts, Japanese, scaffolding, mobile apps, YouTube -
Investment Company Report
Investment Company Report Meeting Date Range: 01-Jul-2018 - 30-Jun-2019 Report Date: 01-Jul-2019 Page 1 of 102 Bridges Investment ALLERGAN PLC Security: G0177J108 Agenda Number: 934955696 Ticker: AGN Meeting Type: Annual ISIN: IE00BY9D5467 Meeting Date: 01-May-19 Prop. # Proposal Proposed Proposal Vote For/Against by Management's Recommendation 1a. Election of Director: Nesli Basgoz, M.D. Mgmt For For 1b. Election of Director: Joseph H. Boccuzi Mgmt For For 1c. Election of Director: Christopher W. Bodine Mgmt For For 1d. Election of Director: Adriane M. Brown Mgmt For For 1e. Election of Director: Christopher J. Coughlin Mgmt For For 1f. Election of Director: Carol Anthony (John) Mgmt For For Davidson 1g. Election of Director: Thomas C. Freyman Mgmt For For 1h. Election of Director: Michael E. Greenberg, Mgmt For For PhD 1i. Election of Director: Robert J. Hugin Mgmt For For 1j. Election of Director: Peter J. McDonnell, M.D. Mgmt For For Investment Company Report Meeting Date Range: 01-Jul-2018 - 30-Jun-2019 Report Date: 01-Jul-2019 Page 2 of 102 Prop. # Proposal Proposed Proposal Vote For/Against by Management's Recommendation 1k. Election of Director: Brenton L. Saunders Mgmt For For 2. To approve, in a non-binding vote, Named Mgmt For For Executive Officer compensation. 3. To ratify, in a non-binding vote, the Mgmt For For appointment of PricewaterhouseCoopers LLP as the Company's independent auditor for the fiscal year ending December 31, 2019 and to authorize, in a binding vote, the Board of Directors, acting through its Audit and Compliance Committee, to determine PricewaterhouseCoopers LLP's remuneration. -
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1 TABLE OF CONTENTS 2 I. INTRODUCTION ...................................................................................................... 2 3 II. JURISDICTION AND VENUE ................................................................................. 8 4 III. PARTIES .................................................................................................................... 9 5 A. Plaintiffs .......................................................................................................... 9 6 B. Defendants ....................................................................................................... 9 7 IV. FACTUAL ALLEGATIONS ................................................................................... 17 8 A. Alphabet’s Reputation as a “Good” Company is Key to Recruiting Valuable Employees and Collecting the User Data that Powers Its 9 Products ......................................................................................................... 17 10 B. Defendants Breached their Fiduciary Duties by Protecting and Rewarding Male Harassers ............................................................................ 19 11 1. The Board Has Allowed a Culture Hostile to Women to Fester 12 for Years ............................................................................................. 19 13 a) Sex Discrimination in Pay and Promotions: ........................... 20 14 b) Sex Stereotyping and Sexual Harassment: .............................. 23 15 2. The New York Times Reveals the Board’s Pattern -
Google's 'Project Nightingale' Gathers Personal Health Data
Google's 'Project Nightingale' Gathers Personal Health Data on Millions of Americans; Search giant is amassing health records from Ascension facilities in 21 states; patients not yet informed Copeland, Rob . Wall Street Journal (Online) ; New York, N.Y. [New York, N.Y]11 Nov 2019. ProQuest document link FULL TEXT Google is engaged with one of the U.S.'s largest health-care systems on a project to collect and crunch the detailed personal-health information of millions of people across 21 states. The initiative, code-named "Project Nightingale," appears to be the biggest effort yet by a Silicon Valley giant to gain a toehold in the health-care industry through the handling of patients' medical data. Amazon.com Inc., Apple Inc. and Microsoft Corp. are also aggressively pushing into health care, though they haven't yet struck deals of this scope. Share Your Thoughts Do you trust Google with your personal health data? Why or why not? Join the conversation below. Google began Project Nightingale in secret last year with St. Louis-based Ascension, a Catholic chain of 2,600 hospitals, doctors' offices and other facilities, with the data sharing accelerating since summer, according to internal documents. The data involved in the initiative encompasses lab results, doctor diagnoses and hospitalization records, among other categories, and amounts to a complete health history, including patient names and dates of birth. Neither patients nor doctors have been notified. At least 150 Google employees already have access to much of the data on tens of millions of patients, according to a person familiar with the matter and the documents. -
Future of Patient Data Patient of Future Insights from Discussions Multiple Around the Expert World
Future of Patient Data Insights from Multiple Expert Discussions Around the World World Expert the Around Multiple Discussions from Insights FUTURE OF PATIENT DATA Insights from Multiple Expert Discussions Around the World 1 Future of Patient Data Insights from Multiple Expert Discussions Around the World World Expert the Around Multiple Discussions from Insights 2 Future of Patient Data Insights from Multiple Expert Discussions Around the World World Expert the Around Multiple Discussions from Insights FUTURE OF PATIENT DATA Insights from Multiple Expert Discussions Around the World 3 Contents Foreword 6 Acknowledgements 7 Introduction 8 Future of Patient Data Context 16 Shared Challenges 26 Integration 28 Ownership vs. Access 38 Trust 45 Insights from Multiple Expert Discussions Around the World World Expert the Around Multiple Discussions from Insights Security and Privacy 52 Future Opportunities 58 Personalisation 60 Data Marketplaces 68 The Impact of AI 73 New Models 86 Emerging Issues 96 Data Sovereignty 98 Digital Inequality 102 Privatisation of Health Information 111 The Value of Health Data 115 Conclusions 120 Questions 122 Appendix 124 4 Charts Project Summary 10 Healthcare Spend vs Life Expectancy 12 Growth In Healthcare Data 17 Doctors with EHR and Multifunctional Health IT Capacity 30 Consumers Willing To Share Health Data 46 Future of Patient Data Data Breach Cost Per Capita 53 Number of Personalised Medicines (US - 2008 to 2016) 63 Genetic Disorders with Diagnostic Tests Available 65 Number of Artifical-Intelligence Companies -
Google's 'Project Nightingale' Gathers Personal Health Data on Millions Of
11/14/2019 Google’s ‘Project Nightingale’ Gathers Personal Health Data on Millions of Americans - WSJ MEMBER MESSAGE How would you ix college admissions? We want your suggestions on making the process more transparent and less stressful. Share Your Story This copy is for your personal, non-commercial use only. To order presentation-ready copies for distribution to your colleagues, clients or customers visit https://www.djreprints.com. https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790 ◆ WSJ NEWS EXCLUSIVE | TECH Google’s ‘Project Nightingale’ Gathers Personal Health Data on Millions of Americans Search giant is amassing health records from Ascension facilities in 21 states; patients not yet informed Google launched the eort last year with Ascension, the country’s second-largest health system. PHOTO: DAVID PAUL MORRISBLOOMBERG NEWS By Rob Copeland Updated Nov. 11, 2019 427 pm ET Google is engaged with one of the U.S.’s largest health-care systems on a project to collect and crunch the detailed personal-health information of millions of people across 21 states. The initiative, code-named “Project Nightingale,” appears to be the biggest effort yet by a Silicon Valley giant to gain a toehold in the health-care industry through the handling of patients’ medical data. Amazon.com Inc., AMZN 0.08% ▲ Apple Inc. AAPL -0.69% ▲ and Microsoft https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790 1/5 11/14/2019 Google’s ‘Project Nightingale’ Gathers Personal Health Data on Millions of Americans - WSJ Corp.