全球化研究报告-PDF版

沃尔玛WALMART (WMT)：2017年全球责任报告「NYSE」（英文版）（199页）.pdf

从2016年2月1日至2017年1月31日的2017财年。为了方便读者，除非另有说明，我们在整个报告中将这个财政时期称为2017财年。据报已授予或承诺的赠款资金可能尚未在2017财年支付，而全额支付这.

2017-12-02 199页 5星级

领英（LinkedIn）：2017年职场学习报告（英文版）（41页）.pdf

小公司的L&D专业人员更倾向于培训技术技能，而大公司的人则认为职业发展和软技能更重要。培养员工对高管来说很重要，但展示商业价值却很有挑战性。80%的L&D专业人士同意，发展员工是管理团.

2017-12-02 41页 5星级

SDA：2017-2022年菲律宾咖啡行业发展路线图报告（英文版）（63页）.pdf

路线图概述了2017年至2022年促进咖啡行业增长的愿景、使命、目标、战略和行动计划。主要和次要数据都是从政府和私营部门的咖啡利益攸关方举行的几次会议和磋商中收集的。菲律宾咖啡产业路线图回顾了其目前的产量为37,000公吨(MT)，面积为117,454公顷(ha)，平均产量为每公顷300公斤(kg)。

2017-12-02 63页 5星级

京东方科技集团股份有限公司2017年年度报告（英文版）（268页）.PDF

毕马威华臻会计师事务所已向本公司出具一份独立审计师报告，报告中包含对本公司的未经修改的无保留意见。本报告以中文和英文撰写。

2017-12-02 268页 5星级

广东美的电器股份有限公司2017年年度报告（英文版）（268页）.PDF

一大批曾经辉煌的公司在2017年失宠了。在这个瞬息万变的时代潮流下，美的集团2017年度报告3必须保持谦逊和尊重，同时拥抱变化和创新，才能与时俱进。实现梦想，抛弃平庸，必须始终保持进取精神和创业精神。

2017-12-02 268页 5星级

微软Microsoft Corporation（MSFT）2017年年度报告-财报「NASDAQ」（英文版）（95页）.pdf

我们已经完成了对LinkedIn的收购，将世界上最大的专业网络与世界领先的专业云连接起来。通过数据中心的扩展，我们正在投资创造更广泛的经济效益和机会，将Azure带到全球42个地区，超过任何其他云提供.

2017-12-02 95页 5星级

百事公司Pepsico, Inc.（PEP）2017年年度报告-财报「NYSE」（英文版）（172页）.pdf

提供了极好的口感*随着我们不断发展我们的产品组合和扩大我们的产品，我们不断更新我们的“好你”、“更好”和“有趣”类别的定义，以及适合每个类别的产品。以下是2017年的定义:GOOD FOR YOU选项帮助消费者满足推荐的日常摄入全谷物、蔬菜、水果、乳制品、坚果和种子，其中特定营养素的含量低或不含，如添加糖、盐或饱和脂肪。

2017-12-02 172页 5星级

汇丰银行（HSBC）2017年年度报告（英文版）（274页）.pdf

这些照片是从参加集团摄影比赛的2100多幅作品中挑选出来的。汇丰NOW Photo于2017年6月推出，是一个持续的项目，鼓励员工用相机捕捉和分享他们周围多样化的世界。w内容本战略报告于2018年2月.

2017-12-02 274页 5星级

京东集团JD.com, Inc.（JD）2017年20-F年度报告「NASDAQ」（英文版）（632页）.PDF

这些前瞻性声明主要基于我们目前对未来事件和财务趋势的预期和预测，我们认为这些事件和财务趋势可能会影响我们的财务状况、经营结果、业务战略和财务需求。这些前瞻性陈述包括陈述。

2017-12-02 632页 5星级

尼尔森-2017年美国体育媒体报告英文版-2018-40页（40页）.pdf

1 YEAR IN SPORTS MEDIA REPORT NIELSEN SPORTS U.S. 2017 Copyright 2018 The Nielsen Company2 Welcome t.

2017-12-01 40页 5星级

Crimson Hexagon：2017年汽车行业趋势报告(英文版)(28页).pdf

Roads of the Future Eco-friendly autos, self-driving cars, ridesharing, and other trends affecting the US auto industry 34 Methodology For this auto industry report, we analyzed Crimson Hexagons library of more than one trillion posts from sources like Twitter, Facebook, Tumblr, Reddit and forums between 2010 and 2016. We also used data from non-social sources like the Air Resources Board, Ride Guru, and others. By analyzing historical social media conversations about ridesharing, eco-friendly vehicles, self-driving technology and more, we were able to uncover emerging trends, track shifting consumer sentiment, and better understand the forces shaping the future of the auto industry. Table of Contents Introduction 5 Green Machines 11 Eco-friendly conversation 13 Electric vs. hybrid 15 Whos talking about green cars 19 Self-driving cars 25 In the drivers seat 27 Bumpy road ahead? 30 The Rise of Ridesharing 35 From zero to sixty 37 Is ridesharing dispatching with cabs? 38 How do consumers feel about ridesharing? 39 Fare or foul? 45 Who needs a car these days? 49 The car-buying conversation 51 Afterword 55 56 Introduction When cars were first introduced to consumers at the beginning of last century, they almost instantly revolutionized everyday life. Physical distance became less important, and easy access to everything from jobs to groceries reshaped the geometry of modern existence. But the transformation didnt stop there. Over time, automobiles continued to evolve. They became faster, safer, and cheaper. A car from 2008, a century after the release of the Model T, would be almost incomprehensible to Henry Ford. And in the last few years, those changes have only accelerated. Todays forward-looking carmakers have largely moved on from making their vehicles faster, safer and cheaper. Instead, their attention has shifted to new horizons designing cars to be more eco-friendly, easily sharable, and, increasingly, autonomous. It likely wont be long before you can order an electric, self-driving Uber with the tap of a button. Anytime an industry undergoes such a dramatic transformation, important questions need to be answered, and the auto industry is no exception. How have these technological developments changed the conversation around the automotive industry? Are consumers excited about the these changes? Anxious? Both? In this report, we use social media conversations to analyze three big trends affecting the auto industry: Eco-friendly vehicles Self-driving cars Ridesharing vs. Taxis We selected these three automotive trends due to their increasingly frequent press coverage, centrality to emerging policy debates and more. They are also topics well suited to social media analysis thanks to their topicality and overall impact. 78 Key trends in the auto industry The automotive industry is in the midst of a transformation. Environmentally friendly cars, from Tesla and others, are making huge strides; self-driving cars have started hitting the streets; and ridesharing companies like Uber and Lyft are changing the way people get from Point A to Point B. But what do these changes mean for consumers? Are they excited about a future where they can hop into a self-driving Uber? Or are they anxious about it? Will their next car be electric? Or will they forgo their next car altogether? We analyzed millions of social media posts since 2010 to uncover several key findings about the future of the auto industry. Electric Surge The eco-friendly conversation on social is dominated by electric cars, which account for 71% of the total discussion and dwarf other topics like hybrids and alternative fuels. Gender Gap Men outnumber women in the environmentally friendly car conversation at a rate of nearly 3:1. Ask the Audience Consumers discussing electric cars are more likely to be interested in clean energy, renewable energy, and climate change the people talking about hybrid cars. Whos winning the eco-friendly car debate? 72% 28% Eco-Friendly, Electric, and Hybrid Cars Eco-Friendly Cars Share of Voice Electric Cars sustainability climate change renewable energy Hybrid Cars homework hip hop SportsCenter 71% electric 19% hybrid 9% alt fuel 1% ulev 910 Self-Driving Cars Discussion Trends Taxis vs Ridesharing Taxis Ridesharing 2010201620122014 Fear Takes the Wheel As conversation about self-driving cars has grown, consumers anger and fear about the topic has steadily increased. The Uberization of Cities Since 2012, Uber and Lyft have gone from 5% share of voice compared to taxis in major cities to more than 60%. The rise of ridesharing Negative Review? As ridesharing has become more prevalent, it has also become more unpopular at least on social media. Net sentiment has gone from about 40% positive to 15% negative. Is Ridesharing Hurting Car Sales? Conversation about ridesharing has taken a huge bite out of the car- buying (and public transit) conversation, especially in major cities. Transportation Discussion in Major Cities 2010201620122014 Taxis Ridesharing Public Transportation 201020102016201620132013 Positive Positive Negative Negative RidesharingTaxis 80 0 -80 -40 40 Code Hits the Road Social conversation about self-driving cars has skyrocketed since 2014, growing nearly 6x. Are consumers ready for self-driving cars? 2010201620122014 Emotion Trends: Self-Driving Cars fear anger joy sadness disgust 2010201620122014 Electric, hybrid and the inevitability of eco-friendly cars These days, its not a question of if the auto industry will go green but when. The transformation started years ago but has really picked up steam in the last few, as the worlds foremost auto companies (and upstarts like Tesla) roll out more (and more affordable) eco-friendly options. A world with predominantly energy-efficient, clean-powered cars cant be far off. But the real question is about how we get there. What are the incremental changes that will bring about the auto industry of the future? Will it rely more on electric cars or hybrids? Government credits or a whole new marketplace? Will existing auto giants remake their images in time or be supplanted by eco-friendly startups? Underlying all these questions is the ultimate factor: the consumer. How are American consumers processing (and talking about) the changes to their vehicles? What are the eco-friendly features most desired by consumers? Are they more driven by climate concerns or fuel-efficiency? How do they interpret the evolving auto industry, and how does this affect their decisions about which cars they buy? Real-time consumer sentiment about evolving topics is notoriously difficult to get at, but luckily we have a powerful tool on our side: social media analytics. By analyzing the millions of car-related conversations that occur on social media and forums every day, were able paint a clear and up-to-the-minute picture of the eco-friendly automotive landscape. Specifically, we studied the social conversations surrounding eco-friendly cars since 2010 to understand: The electric vs. Hybrid Debate Common Topics in the green car conversation The audiences for eco-friendly vehicles Green Machines 1314 Electric cars (or EVs) dominate the eco-friendly conversation, dwarfing other topics like alternative fuels. But it is the conversation volume discrepancy between electric cars and hybrid cars that is most interesting. Often thought to be the two main options vying for supremacy in the eco-friendly car landscape of the future, electric and hybrid cars have been moving in opposite directions over the last half decade. If hybrid cars were a bridge to get us to fully electric cars, it appears that, at least in consumers eyes, the time for 100% electric cars has arrived. In the next section well look at how the conversation around electric and hybrid vehicles has evolved since 2010. Eco-friendly conversation Tracking the social media discussion of green cars If you need proof that the age of eco-friendly autos is upon us, look no further than social media. Eco-friendly cars have been a popular topic on social platforms like Twitter and Facebook for several years, but the conversation really started to spike in 2015. No single topic caused the surge in conversation volume; instead it was collection of related, often overlapping issues. Climate change, vehicle efficiency, renewable energy, and more are all part of the eco-friendly vehicle conversation. But when we dove in, we found that electric cars have become a driving force in the conversation, particularly within the last few years. Eco-Friendly Cars Discussion Trend Post Volume 1M 800K 600K 400K 200K 0 2010201120122013201420152016 Eco-Friendly Cars Share of Voice ULEV 1% 1 9 % 9 % 7 1 % E L E C T R I C C A R S H Y B R I D C A R S A L T F U E L 1516 Electric Cars vs Hybrid Cars Share of Voice Trend Share of Voice Comparison (%) 100 90 80 70 60 50 40 30 20 10 0 Electric Cars Hybrid Cars 2010201120122013201420152016 Electric vs. hybrid How have electric vehicles surged past hybrids? Weve already shown that consumers are talking much more about EVs than hybrids, but the real question is: what are they saying? What can we learn about consumer opinion of hybrid and electric cars by analyzing the social conversation surrounding them? To start, lets look at how the conversation breakdown about electric and hybrid cars has changed over time. Between 2010 and 2016, electric car conversation has outpaced hybrid conversation at a rate of nearly three to one. And, if anything, the gulf is widening. Social volume clearly indicates that electric cars are winning the electric-hybrid debate, but this is only part of the puzzle. To really understand the issue, we must dig deeper and answer the why part of the question: Why has the conversation around electric cars surged while the discussion of hybrids has stalled? Electric Cars vs Hybrid Cars Sentiment Trend Sentiment Proportion (%) Electric CarsHybrid Cars Positive Negative Positive Negative 40 20 0 -20 -40 201020132016201020132016 Eco-Friendly Cars Discussion Topics Share of Voice Comparison (%) Expensive Battery replacement cost, pollution Insuffi cient charging infrastructure Fuel effi ciency Solar power Government incentives Wind Power 14% 13% 12% 9% 6% 6% 3% Despite driving more of the conversation, electric cars are viewed more negatively overall than hybrid cars. This might not be as surprising as it seems. Fully electric cars have only recently emerged as viable commercial options, and consumers are still acquainting themselves with EVs pros and cons compared to the more established hybrid model. The growing conversation volume about EVs on social suggests that consumers are more interested in them, but the increasingly negative sentiment indicates that they still have concerns and questions about if EVs meet their needs. Unsurprisingly, the negative conversation surrounding electric cars seems to be increasingly focused on the concrete realities of owning an electric vehicle, including their (for now) higher average price tag. Indeed, when we look at the conversation topics for eco-friendly cars, we see a large volume of posts about the cost of ownership. 1718 Ryan Singel rsingel So rich folk get a giant tax credit for buying an electric car. Nothing for buying an electric bike, bike or bus pass OR not owning a car. 1:01 AM - 4 Jun 2015 Burton Reaves 2f9korf Honda electric car gets 118 mpg, but costs add up 4:00 AM - 9 Jun 2012 Baetona 500 Champion KINGDUB24 Cool Facts: the government gives a $7500 tax check to anyone that buys an electric car 9:17 PM - 28 Jan 2014 Chris Martens GDC chrisamaphone why would i get tax credit for owning an alternative fuel car but none for not owning any car at all? 10:57 AM - 16 April 2012 Brett Ryan Bonowicz BRBonowicz The electric vehicle charger situation at LAX is awful. Two few charges, too many cars, and no way to move charged cars from spots. 10:57 AM - 16 April 2012 Chris Layfield piccolan Google made a self driving car? Thats awesome. Could adding wind turbines on electric cars increase drive time by charging while driving? 2:29 AM - 10 Oct 2010 Wes Brooks WesGBrooks What if electric cars had wind turbines to charge their batteries? As you drive, you create your own wind energy. #WhyNot? 8:41 PM - 26 Aug 2012 Andrew Freund Andrew_Freund capflowwatch in addition to the initial cost, electric car owners will have to spend $7500 on a new battery every 5 years. #tcot 1:51 PM - 3 Oct 2011 Cost Government incentives Charging infrastructure Wind power The reCYNstance cycyn Ive vowed for my future home to be solar powered, but im still waiting for an AFFORDABLE electric car I can charge on solar as well. -_- 8:57 PM - 6 Nov 2015 What people are saying about eco-friendly cars 1920 But its not just about demographics. What can we learn by looking at the other interests of people in both camps? What else is the eco-friendly car audience interested in? Both audiences have traditional pop culture interests (One Direction, Sports Center, comic books, etc.) but consumers discussing electric cars are much more likely to be interested in environmental topics than those talking about hybrid cars renewable energy, climate change, and sustainability are all twice as frequently discussed by the electric car audience than the hybrid audience. Interestingly, the EV audience is also more likely to be interested in the constitution and conservative politics. For two audiences that are thought to be largely overlapping, there are actually quite a few meaningful differences between EV and hybrid fans. Understanding who is talking about eco-friendly cars and what theyre saying is essential to help make sense of the trends affecting the auto industry, but is this all just talk? Or are the shifting conversation patterns actually having an impact on sales? In the next section, well combine social data with actual sales data to analyze the intersection of social media conversation and eco-friendly vehicle sales. Whos talking about green cars? The demographics of the eco-friendly car discussion Weve talked about the major topics in the eco-friendly car conversation, but whos doing the talking? The short answer is older men. Our analysis showed that almost three-quarters of the people posting about the topic are over 35, and the same proportion are men. Interestingly, when we divide the conversation along the familiar lines of electric and hybrid we begin to see a little more granularity in the demographics. Specifically, we see that the hybrid audience is slightly younger and more female. Eco-Friendly Cars Age Distribution Age Proportion (%) 100 90 80 70 60 50 40 30 20 10 0 Electric CarsHybrid Cars 1718-2425-3435 1718-2425-3435 12% 10% 6% 72% 11% 17% 10% 62% Eco-Friendly Cars Gender Distribution Eco-Friendly Cars FemaleMale Electric Cars Hybrid Cars 73% 74&% 700% Electric vs Hybrid Car Affi nities Electric CarsHybrid Cars One

2017-12-01 28页 5星级

Edison：2017年美国智能音箱用户调查报告(英文版)(31页)（31页）.pdf

65%say that they wouldnt want to go back to life without their Smart Speaker Methodology 1,010 person telephone survey Adults age 18 and older National study conducted 12/26/2017 12/30/2017 806 person online survey Adults age 18 and older National study conducted 11/17/2017 11/22/2017 All respondents reported owning an Amazon or Google Smart Speaker 16% of Americans 18 own a Smart Speaker, or around 39 million people Google Home is a trademark of Google Inc. Google Home is a trademark of Google Inc. AMAZON ALEXAGOOGLE HOME 4% % owning Smart Speaker Smart Speaker Ownership Total Population 18 11% In the 2017 Holiday Season: 7% of Americans got a Smart Speaker 4% of Americans got their first Smart Speaker Smart Speakers are changing behaviors and forming new habits 39 34 30 27 26 23 17 Traditional AM/FM radio Smartphone Television Tablet Computer Printed publications Is the time you spend using your Smart Speaker replacing any time you used to spend with? % saying yes Sonos or other whole-house audio system Base: Smart Speaker owners 30%of Smart Speaker owners say their speaker is replacing time spent with TV “Compared to the first month of owning a Smart Speaker, are you using it? More often 51% About the same amount 33% Less often 16% Base: Had a Smart Speaker more than one month and gave a response 23% who are listening to more audio said they are listening to more news/talk 28% who are listening to more audio said they are listening to more podcasts Base: Own a Smart Speaker 71% are listening to more audio since getting a Smart Speaker Top three (3) indexing activities by day part: 5am 9am9am 3pm5pm 7pm7pm 9pm 9pm Midnight #1Traffic Drop in to an Alexa device in home Find restaurants/ businesses Games Control smart home devices #2WeatherAdd to to-do list Recipes/cooking requests Send messages to other devices Audiobooks #3NewsAdd to shopping listOrder foodChildren storiesTimer/alarms 64%of Smart Speaker owners are interested in having Smart Speaker technology in their car Base: Driven or rode in a car in the past month (95%) How interested would you be in having the Smart Speaker technology? 39 31 24 17 16 25 29 29 18 14 20 23 24 24 26 7 7 8 8 12 9 10 15 33 32 In your car/vehicle* On your phone On your television At your workplace At places other than your home/work/car Very Interested (5) Not at all Interested (1) Base: Smart Speaker Owners. *Driven or rode in a car in the past month. The Communal Experience How often do you use the Smart Speaker with others in your household? Most of the time 53% Occasionally 39% Rarely 6% Never 2% Base: Smart Speaker owners 66%of Smart Speaker owners use their speaker to entertain friends and family 60 30 28 18 13 13 13 12 12 11 11 Play music Answer a general question Get the weather Tell a joke Listen to music AM/FM radio Get the news Set a timer/alarm Control household devices Check the time Get a sports score or update Play a game Top tasks requested while spending time with friends and family: % requesting item The Smart Home Where is your Smart Speaker typically located? Living room/family room/den 52% Kitchen 21% Master bedroom 19% Other bedroom 4% Home office 2% Somewhere else 2% Base: Own only one Smart Speaker and giving a response 31%of Smart Speakers owners have controlled household devices with a Smart Speaker in the last week Where in the last week did you request your Smart Speaker to control household devices? % saying yes 61 38 36 14 12 6 3 Living room Kitchen Master bedroom Other Bedroom Bathroom Home office Other room Base: Have controlled household devices with Smart Speaker in the last week 6 46 42 44 34 37 46 Midnight-5am9pm-midnight 7pm-9pm 5pm-7pm 3pm-5pm 9am-3pm 5am-9am At what time in the last week did you request your Smart Speaker to control household devices? Base: Have controlled household device with Smart Speaker in the last week (31%) % saying they controlled in that time period 38%of owners plan to buy additional smart speakers to control smart home devices Purchasing behaviors and connecting with brands Through your Smart Speaker, have you? % saying yes Re-ordered an item you have previously purchased Ordered a new product you have not previously purchased Added an item to your cart so you could review it later for purchase Researched an item you might want to purchase 31)% 58 51 48 45 42 28 22 Household supplies Electronics Health and beauty Pet food/supplies Groceries Home and garden Baby products Which of these have you purchased using your Smart Speaker? % saying yes Base: Have placed an order with Smart Speaker in the last week (13%) 2 15 33 32 30 17 13 Midnight-5am9pm-midnight 7pm-9pm 5pm-7pm 3pm-5pm 9am-3pm 5am-9am At what time in the last week did you order an item with your Smart Speaker? Base: Have placed an order with Smart Speaker in the last week (13%) % saying they ordered in that time period 43%of Smart Speaker owners would be interested in using skills from companies or brands they follow on social media Base: Follow any companies or brands on social networking sites npr.org/smartaudio

2017-12-01 31页 5星级

IEEE GLOBALSPEC：2017年数字媒体工业领域应用报告（英文版）（26页）.pdf

数字媒体已经深深地融入到工程师的日常职业生活中。数字渠道是工业专业人士首先寻找供应商信息和零部件、设备和服务的渠道。为了更好地与你的目标受众建立联系，多渠道数字媒体战略通常是，而且应该是，工业营销计划.

2017-12-01 26页 5星级

联通全球金融科技：2017金融科技中心临时报告（英文版）（116页）.pdf

Zurich Gl o b al F in C e nt re D oi n g B u si n es s Gl o b al I n n ov at io n In d e x Frankfurt Seoul Go ve rn me nt su pp ort In no va ti on cu ltu re Pr ox im ity to e xp ert ise Pr ox im ity to c us to me rs Fo re ig n s ta rtu ps Re gu lat io n High Rank Low Rank Hong Kong Silicon Valley Hu b in dic ato rs Sel f e vau lat ion of th e h ub in six ke y a rea s A tale of 44 cities Connecting Global FinTech: Interim Hub Review 2017 Published by Deloitte April 2017 “ We want to encourage global engagement, best practices, and knowledge sharing, as well as build bridges between all FinTech hubs for entrepreneurs and investors to connect.” Global FinTech Hubs Federation Connecting the global FinTech community 04 Readers note 06 Methodology 07 Reading guide 13 Research findings 14 Overview Index Performance Scores 17 Overview Hub Indicators 18 Global FinTech VC deal value 2016 19 Map of regulatory sandboxes 20 Map of regulatory collaboration 21 New Hubs 22 Abu Dhabi 24 Auckland 26 Bangkok 28 Budapest 30 Chicago 32 Contents Copenhagen 34 Edinburgh 36 Istanbul 38 Jakarta 40 Kuala Lumpur 42 Lagos 44 Lisbon 46 Madrid 48 Manama 50 Milan 52 Moscow 54 Oslo 56 Prague 58 Sao Paulo 60 Shenzhen 62 Stockholm 64 Taipei 66 Tokyo 68 Warsaw 70 Old Hubs 72 Amsterdam 74 Bangalore 76 Brussels 78 Dublin 80 Frankfurt 82 Hong Kong 84 Johannesburg 86 London 88 Luxembourg City 90 Mexico City 92 Nairobi 94 New York 96 Paris 98 Shanghai 100 Silicon Valley 102 Singapore 104 Sydney 106 Tel Aviv 108 Toronto 110 Zurich 112 Acknowledgements 114 3 A tale of 44 cities | Contents Connecting the global FinTech community Fabian Vandenreydt Global Head of Securities Markets, Innotribe and Singapores MAS has signed more FinTech cooperation agreements than other regulatory bodies in the world. Although the tangible outcomes of these agreements largely remain to be seen, cooperation between regulators globally has undeniably become a trend. Louise Brett UK FinTech Lead Partner, Deloitte GFHF HubsNew HubsOld HubsTotal Africa 123 Asia Pacific7512 Central and South America112 Europe 12820 Middle East 213 North America134 Grand Total242044 15 A tale of 44 cities | Research findings Although our research only included two Hubs from the Gulf region, both Hub Representatives presented very similar self-assessments. For one, both Hubs claimed excellent government and regulator support for FinTech and these are evidenced by the range of initiatives that the government and regulatory bodies are driving together. For example, the RegLab in Abu Dhabi, the FinTech Hive and 2020 blockchain ambition in Dubai and the FinTech work driven by the EDB in Bahrain. In Africa, FinTech developments continue to be concentrated around mobile and social payments. Highly successful FinTechs are rare as low levels of government and regulatory support and lack of quality infrastructure continue to be barriers to scaling. In the Central and South America region, Brazil leads the pack by way of investment and number of FinTechs and much of the activity is concentrated in Sao Paulo. Broadly, across the region, corporates and investors are the ones proactively developing the local FinTech ecosystems. However, there are positive signals that government and regulator support for FinTech is increasing. For example, Mexicos new financial inclusion strategy is expected to promote FinTech growth. Finally, we complete the map with North America. While Silicon Valley and New York continue to be the indisputable top FinTech Hubs in the USA, and Toronto in Canada with 80% of the Canadian FinTech activity in this Hub, over the last year we have seen a number of other emerging Hubs: Chicago, which has been included in this Interim report; and Charlotte, North Carolina, which will feature in the next GFHF report. Another interesting development in the USA in recent months has been regulation, particularly in regards to the OCCs FinTech charter. As the USAs complex and fragmented regulatory environment has been cited as a challenge by US FinTech Hubs in our research, it will be interesting to review these developments again in our full Sibos report which will be launched in October. Closing remarks As we have seen, FinTech ecosystems continue to evolve at pace across the globe. As these ecosystems evolve, so too will the report and its methodology for assessing and presenting the FinTech developments in these Hubs. As identified within the Readers Note section, we are pleased to be working with the Global FinTech Hubs Federation to review and refine the methodology and improve the robustness of the assessments currently being completed by each Hub. Without giving away too much, we are very excited about the new Full Report that we will be releasing at Sibos in October and look forward to working closely with ecosystem participants across all the GFHF Hubs over the coming months. 16 A tale of 44 cities | Research findings Chicago Index Performance Score New HubsOld Hubs 125 A lower Index Performance Scores indicates that the Hub is more conducive to FinTech growth based on the amalgamation of three global indices. 26150 150 125 26150 150 Toronto Tel Aviv Abu Dhabi Tokyo Amsterdam Shanghai Hong Kong Taipei Jakarta Singapore Frankfurt Moscow Warsaw Prague Istanbul Budapest Shenzhen Bangkok Kuala Lumpur Sydney Auckland Silicon Valley New York Mexico City Sao Paulo Brussels Zurich Luxembourg City Lisbon Madrid Milan Lagos Bangalore Johannesburg Nairobi Paris 20 50 Stockholm55 111 99 55 70 119 22 57 255 11 46 167 108 126 168 151 125 137 101 45 n/a 18 14 181 243 Oslo77 127 41 83 124 128 n/a n/a 187 n/a Dublin56 London11 Edinburgh76 76 132 178Manama Copenhagen71 Overview Index Performance Scores 17 A tale of 44 cities | Overview Index Performance Scores Go ver nm en t s up po rt In no va tio n c ult ur e Pr ox im ity to e xp ert is e Pr ox im ity to c us to me rs Fo re ig n st ar tu ps Re gu la ti on Chicago Sydney CopenhagenTaipei Tel AvivDublin TokyoEdinburgh FrankfurtToronto WarsawHong Kong ZurichIstanbul Jakarta Johannesburg Kuala Lumpur Lagos Lisbon London Luxembourg City Madrid Manama Mexico City Milan Moscow Nairobi New York Oslo Paris PragueAbu Dhabi AmsterdamSao Paulo ShanghaiAuckland BangaloreShenzhen Silicon ValleyBangkok SingaporeBrussels BudapestStockholm This diagram lists the Hubs from left to right in alphabetical order. The colours of the Hub Indicators refl ect the response given by the Hub Representative in relation to this category. Excellent Good Better than average Average Not good Excellent Good Better than average Average Not good New HubsOld Hubs Overview Hub Indicators 18 A tale of 44 cities | Overview - Hub Indicators US $6.2bn UK $783m Brazil $161m Germany $384m Norway $4m Czech Republic $6m Denmark $32m Sweden $62m Poland $1m Israel $173m Turkey $17m South Africa $15m Nigeria $1m India $272mChina $7.7bn Japan $87m Australia $91m New Zealand $7m Ireland $524m Luxembourg $2m France $68m Switzerland $34m Spain $12m Italy $9m Singapore $86m Malaysia $4m Thailand $19m Canada $183m Mexico $72m Globally, $17.4 billion invested over 1,436 deals in 2016 Hong Kong $170m Indonesia $5m Taiwan $6m $500m $100m $10m $10m Source: PitchBook Compiled by Deloitte Russia $7m Netherlands $20m Belgium $28m The map below shows the 2016 global FinTech deal values for countries covered by this Interim report. Note that Bahrain, Hungary, Kenya and UAE had deal values less than $1 million and therefore were not included in the map below. All figures below are in US Dollars. 19 A tale of 44 cities | Global FinTech VC deal value 2016 Global FinTech VC deal value 2016 Norway Proposed Financial Supervisory Authority (FSA) of Norway, ICT Norway Malaysia Live Bank Negara Malaysia (Central Bank) Netherlands Live Dutch fi nancial supervisors the Authority for the Financial Market (AFM) and De Nederlandsche Bank (DNB) Taiwan Proposed Financial Supervisory Commission (FSC) Indonesia Proposed Bank Indonesia (Central Bank) USA Proposed Federal Reserve Board / Treasury Department / Securities and Exchange Commission Thailand Proposed Bank of Thailand Key Proposed Formal statement made by a regulatory or government body Live Accepting applications or conducting trials Russia Proposed Central Bank of Russia Source: Innovate Finance Compiled by Deloitte Dubai Proposed Dubai Financial Services Authority (DFSA) Dubai International Financial Centre Authority (DIFCA) Canada Live Ontario Securities Commission (OSC) UK Live Financial Conduct Authority (FCA) Switzerland Proposed Financial Market Supervisory Authority (FINMA) Singapore Live Monetary Authority of Singapore (MAS) Australia Live Australian Securities stable political, regulatory and judicial regimes; a business-friendly environment; excellent technology infrastructure and availability of capital. Furthermore, its location in the East-West corridor means that Abu Dhabi is well-positioned to be the FinTech nexus for the MENA region. Abu Dhabi Hub profi le Hub representative Abu Dhabi Global Market CEO Richard Teng Go ve rn me nt su pp ort In no va ti on cu ltu re Pr ox im ity to e xp ert ise Pr ox im ity to c us to me rs Fo re ig n s ta rtu ps Re gu lat io n High Rank Low Rank INDEX SCORE 99 Hu b in dic ato rs Sel f e vau lat ion of th e h ub in six ke y a rea s Source: Global FinTech Hubs Federation Produced by Deloitte NEW HUB 24 A tale of 44 cities | Abu Dhabi Flat6Labs GlassQube Co-working Hu b in dic ato rs Sel f e vau lat ion of th e h ub in six ke y a rea s Top FinTech companies While FinTech is a recent development in Abu Dhabi, some financial institutions have started embracing and deploying FinTech solutions. For example: The National Bank of Abu Dhabi (NBAD) was the first bank in MENA to go live on blockchain for real time cross border payments with Ripple, the Abu Dhabi Islamic Bank (ADIB) partnered with Fidor Bank to launch the regions first community based digital bank and within the first batch of 11 Regulatory Laboratory applications, we see a mix of FinTech players including robo-advisors, big data, crowdfunders and a digital bank. Big investors Abu Dhabi is home to some of the largest sovereign wealth funds and financial institutions (e.g., National Bank of Abu Dhabi, the largest bank in the MENA region) and a high concentration of institutional and private wealth. Success stories The launch of the RegLab was a milestone success for Abu Dhabi as this marked the openness and support by regulators and government towards innovation. The collaboration between banks and startups, and the banks innovation strategies more broadly, is also another success story as it highlights the attitude of the main institutions towards FinTech. The future In 2017, ADGM plans to host and organise a FinTech Summit. Leading up to the Summit, there will be a series of FinTech hackathon / demo day events to showcase the FinTech entrepreneurial scene in the region. ADGM received the first batch of 11 applications for the RegLab in January 2017 and expects to complete its assessment for the first batch and open the 2nd batch of application in Q2 2017. Hub featuresBest workspace and accelerators Technologies Innovation areas Challenges Cloud computing Mobile Social media Banking-as-a-service Credit and debit cards E-commerce Identity management Payments Mobile apps P2P crowdfunding Risk averse culture High cost of office space Limited exit opportunities 25 A tale of 44 cities | Abu Dhabi D oi ng B us in es s 1 Gl o ba l I n n ov at io n In d ex Gl o ba l I n n ov at io n N /A Gl o ba l Fi n C e nt re 1 7 Auckland Auckland is New Zealands largest and most internationally connected hub, with a third of the countrys population and the largest number of businesses. The city hosts the entire diverse spectrum of fi nancial services, as well as the largest concentration of the countrys vibrant tech sector. Combine this with strong central and local government support and direct links to the countrys other hubs, Auckland is an ideal environment for innovating FinTech. Auckland Hub profi le Hub representative New Zealand Financial Innovation and Technology Association (FinTechNZ) CEO Mitchell Pham High Rank Low Rank INDEX SCORE n/a* * The data for Auckland is not available on the Global Financial Centre Index. As such, Auckland has not been given an Index Performance Score. Go ve rn me nt su pp ort In no va ti on cu ltu re Pr ox im ity to e xp ert ise Pr ox im ity to c us to me rs Fo re ig n s ta rtu ps Re gu lat io n Hu b in dic ato rs Sel f e vau lat ion of th e h ub in six ke y a rea s 26 A tale of 44 cities | Auckland Source: Global FinTech Hubs Federation Produced by Deloitte Source: Global FinTech Hubs Federation Produced by Deloitte NEW HUB Astrolab Creative HQ Kiwibank Lightning Lab FinTech Accelerator The Icehouse * The data for Auckland is not available on the Global Financial Centre Index. As such, Auckland has not been given an Index Performance Score. Go ve rn me nt su pp ort In no va ti on cu ltu re Pr ox im ity to e xp ert ise Pr ox im ity to c us to me rs Fo re ig n s ta rtu ps Re gu lat io n Hu b in dic ato rs Sel f e vau lat ion of th e h ub in six ke y a rea s Top FinTech companies Equitise, Harmoney, InsuredHQ, Latipay, Paymark, SavvyKiwi, Trademe, Xero. Big investors All major banks, insurers and finance companie; venture funds; NZ Venture Investment Fund; and Callaghan Innovations. Success stories Xero, a software company that develops cloud-based accounting software for small and medium-sized businesses, has been a very successful FinTech to emerge from the country. At the other end of the spectrum, LatiPay, an online payments service between China and New Zealand, is gaining a significant amount of growth and traction, and will likely emerge as a future success story. The future In 2017, there will be a much more visible FinTech community in Auckland, and in New Zealand more broadly. While policymakers and regulators traditionally focused on Wellington, Auckland will see a lot more policy engagement on FinTech issues, challenges and opportunities. 2017 will also see more connections between Auckland FinTech innovators and the international community who are already reaching out to the hub. Hub featuresBest workspace and accelerators Technologies Innovation areas Challenges Data analytics Cloud computing Mobile APIs Internet of Things Capital markets Retail banking E-commerce Wealth management Robo advisors Low levels of knowledge sharing Small size of market (leading to Low access to capital) Skills shortages - technology 27 A tale of 44 cities | Auckland Digital Ventures Dream Offi ce (C-Asean) Dtac Accelerate Krungsri Rise Budapest Milan Madrid Gl o b al F in C e nt re 3 9 D oi ng B us in es s 4 6 Gl o b al I n n ov at io n In d ex 5 2 Moscow Bangkok The Thai FinTech ecosystem is growing rapidly.

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STUDY JULY 2017 Artificial Intelligence and National Security Greg Allen Taniel Chan A study on behalf of Dr. Jason Matheny, Director of the U.S. Intelligence Advanced Research Projects Activity (IARPA) BE L F E R CENTER STUDY Belfer Center for Science and International Affairs Harvard Kennedy School 79 JFK Street Cambridge, MA 02138 www.belfercenter.org Statements and views expressed in this report are solely those of the authors and do not imply endorsement by Harvard University, Harvard Kennedy School, the Belfer Center for Science and International Affairs, or IARPA. Design attacks can be defended In 1945, fighter aircraft were roughly 50 times as expensive as a new civilian car By WW2, only sophisticated orgs. could match state of the art in aero- space tech. One of the first passenger airlines used reconfigured WW1 bombers Factories appear similar to other industry and can be concealed Cyber Cyber can damage physical infrastruc- ture and steal key info. but less assured Even terrorists and criminals can afford quite useful capabilities Low-end attacks require minimal expertise; high-end reserved for states Commercial IT sys- tems can be used for attacks; similar skills in demand for civil/military Even sensitive national security systems are routinely infiltrated without detection Biotech Natural pandemics have killed tens of millions; bioweapons could also Equipment is cheap, though expertise can be expensive Though different now, at first relatively few people had needed expertise Biopharma and medical industries need similar equip- ment and expertise as bioweapons Weaponization facilities difficult to distinguish from commercial LowModerateHigh 44 Artificial Intelligence and National Security Government Technology Management Approach In what is admittedly (and necessarily) a partial oversimplification, we have classified the U.S. governments management paradigm for each of the four technologies. Our goal here is to clarify how government viewed the nature of the challengeespecially in its early decadesand characterize what approach they ultimately took to meet it. A more detailed justification of our analysis is provided in the Appendix. The four approaches are summa- rized in Table 2: Table 2: Government Technology Management Approach Nuclear All-out effort, government-led development and utilization Extraordinary levels of spending and dedication of national resources to nuclear technology continued for many decades after development From 1940 to 1996, 11% of total federal government spend- ing was related to nuclear weapons, even with arms control and voluntary restrictions Initially, nuclear technology was treated as classified regard- less of origin. Illegal to hold patents on nuclear. Aerospace Government-led public private partnership Heavy government involvement in the aerospace sector with research and development support, acting as an anchor customer, and major regulation Tech. superiority seen as key to national power; govt. restricted access to aerospace tech. using classification and export restrictions Despite predominant government role, the U.S. Aircraft industry remained within the Amerian economic model of capitalism and free enterprise Cyber Government seeding and harvesting Govt. heavily involved in supportin R U.S. repeatedly ignores need for safety upgrades/investment Aerospace Success Aside from brief periods during WW1 and WW2, U.S. was and is undisputed leader in developing and using military aerospace tech. Success After WW2, the U.S. emerged as the clear winner in building commercial aircraft for the rapidly growing market in air transportation Success Main risks are accidental crashes and attacks from superior air forces, both of which the U.S. has responded to effectively Cyber Success Though cyber domain is not as amenable to dominance as aero- space, the U.S. clearly has leading tech and capabilities in both cyber and defense Partial Success U.S. commercial industry leads the world in computing and internet sectors, but U.S. govt. left commer- cial too vulnerable to criminal and nation-state cyber attacks Partial Failure While the U.S. developed offensive cyber superiority, the govt. failed for decades to address the asymmetric vulnerability it faced in espionage and attack Biotech N/A U.S. voluntarily disbanded bioweapons program, saying deterrent from nukes was suffi- cient. USSR bioweapons program continued, however. Success U.S. has largest biotech industry worldwide and the R Favorable government support of R most risky research was delayed until risks better understood, BWC helpful but had key failures (USSR) 46 Artificial Intelligence and National Security AI Technology Profile: A Worst-case Scenario? Comparing the technology profile of AI with the prior technology cases, we find that it has the potential to be a worst-case scenario. Proper pre- cautions might alter this profile in the future, but current trends suggest a uniquely difficult challenge. Destructive Potential: High At a minimum, AI will dramatically augment autonomous weapons and espionage capabilities and will represent a key aspect of future military power. Speculative but plausible hypotheses suggest that General AI and especially superintelligence systems pose a potentially existential threat to humanity.87 O Cost Profile: Diverse, but potentially low Developing cutting-edge capabilities in machine learning and AI can be expensive: many firms are spending billions or hundreds of millions of dollars on R leaked copies of AI software might be virtually free. Complexity Profile: Diverse, but potentially low Advancing the state of the art in AI basic research requires world- class talent, of which there is a very limited pool. O Nick Bostrom, Elon Musk, Bill Gates, Stephen Hawking, and many others have expressed concern regarding this scenario. 47 Belfer Center for Science and International Affairs | Harvard Kennedy School However, applying existing AI research to specific problems can sometimes be relatively straightforward and accomplished with less elite talent. Technical expertise required for converting commercially available AI capabilities into military systems is currently high, but this may decline in the future as AI improves. Military/Civil Dual-Use Potential: High Militaries and commercial businesses are competing for essentially the exact same talent pool and using highly similar hardware infrastructure. Some military applications (e.g. autonomous weapons) require additional access to non-AI related expertise to deliver capability. Difficulty of Espionage and Monitoring: High Overlap between commercial and military technology makes it difficult to distinguish which AI activities are potentially hostile. Few if any physical markers of AI development exist. Total number of actors developing and fielding advanced AI sys- tems will be significantly higher than nuclear or even aerospace. Monitors will find it difficult to assess AI aspects of any autono- mous weapon system without direct access. 48 Artificial Intelligence and National Security Lessons Learned Having provided our observations of previous cases, we will now attempt to summarize lessons learned. We recognize that there are vast differences of time, technology, and context between these cases and AI. This is our effort to characterize some lessons which endure nevertheless. Lesson #1: Radical technology change begets radical government policy ideas The transformative implications of nuclear weapons technology, com- bined with the Cold War context, led the U.S. government to consider some extraordinary policy measures, including but not limited to the following: EnactedGiving one individual sole authority to start nuclear war: The United States President, as head of government and commander in chief of the military, was invested with supreme authority regarding nuclear weapons88 ConsideredInternationalizing control of nuclear weapons under the exclusive authority of the United Nations in a collective security arrangement P 89 EnactedVoluntarily sharing atomic weapons technology with allies (which occurred) and adversaries including the Soviet Union (which did not)90 ConsideredAtomic annihilation: Pre-emptive and/or retaliatory atomic annihilation of adversaries, which could have resulted in mil- lions or even billions of deathsQ P This was the so-called Baruch Plan, which the U.S. proposed at the United Nations but abandoned shortly thereafter. To this day there is significant debate over whether the United States offered the Baruch Plan in sincerity. Q Senior U.S. military officials, including Lieutenant General Leslie Groves, the director of the Manhattan Project, and General Orvil Anderson, commander of the Air University, publicly argued that the United States should strike the Soviet Union with nuclear weapons to prevent them from acquiring nuclear technology. Respected foreigners including Winston Churchill, John Von Neumann, and Bertrand Russell all advised the United States to do the same. How seriously the United States senior leadership considered this first strike advice is difficult to say with certainty. Retaliatory nuclear strikes and mutually assured destruction remain the official policy of the United States. 49 Belfer Center for Science and International Affairs | Harvard Kennedy School EnactedVoluntarily restricting development in arms control frameworks to ban certain classes of nuclear weapons and certain classes of nuclear tests The world has lived with some of these policies for seven decades, so the true extent of their radicalism (at the time they were first considered) is hard to convey. The first example is perhaps the easiest, because it required passage of the Presidential Succession Act of 1947, which laid the founda- tion for the 25th Amendment to the United States Constitution. Though there were other proximate causes for the 25th Amendment, such as the assassination of President Kennedy, it is only a mild stretch to say that the invention of nuclear weapons was so significant that it led to a change in the United States Constitution. Though nuclear weapons clearly resulted in the most radical policy pro- posals, the other cases also led to significant changes. For instance, the Department of Defense ultimately created a full armed service to make use of aerospace technology, the organization now called the U.S. Air Force. Cyber challenges led to the creation of U.S. Cyber Command. These were significant changes, though time has made them familiar. It remains unclear what the full impact of AI technology on national security will be, and how fast it will arrive. So far, we have argued that it is highly likely to be a transformative military technology. Some, such as Nick Bos- trom, believe that the recursive improvement property of AI has the potential to create a superintelligence that might lead to the extinction of the entire human species.91 If continued rapid progress in AI leads some governments to share Bostroms view, they may consider policies as truly radical as those considered in the early decades of nuclear weapons. The bigger and more visible the impacts of AI become (and we argue the impacts are likely to be increasingly large and obvious over time) the more policymakers will feel justified in making extreme departures from existing policy. Lesson #2: Arms races are sometimes unavoidable, but they can be managed 50 Artificial Intelligence and National Security Fears of aerial bombing led to an international treaty banning the use of weaponized aircraft, but voluntary restraint was quickly abandoned and did not stop air war in WWI. In 1899, diplomats from the worlds leading military powers convened in The Hague for a peace conference. One of the more interesting outcomes of the conference was a five-year moratorium on all offensive military uses of aircraft.R Though the intention was to later make the ban permanent, it was abandoned at the second Hague conference of 1907 once countries saw the irresistible potential of aerial warfare. Accordingly, all the great powers began constructing and planning for the use of aircraft bombers.92 In 1910, the combined military air fleets of the European great powers contained 50 airplanes. By 1914, the number reached 700.93 When World War I broke out, the only real limitation on the use of military air power was technology: the primitive airplanes had limited range and bomb-carrying capacity. Still, every European belligerents capital, save Rome, was bombed from the air.94 The applications of AI to warfare and espionage are likely to be as irresistible as aircraft. Preventing expanded military use of AI is likely impossible. Aerospace technology ultimately became nearly synonymous with military power, and it seems likely that applications of AI will ultimately go the same route. Just as businesses are choosing machine learning because competitively they have no choice, so too will militaries and intelligence agencies feel pressure to expand the use of military AI applications. Michael Rogers, head of the United States National Security Agency and Cyber Command, agrees: “It is not the if. Its only the when to me. This is coming.”95 That sense of inevitability derives not only from how useful AI is already proving to be, but also from the belief that current applications have only scratched the surface of what capabilities are likely to come. Though outright bans of AI applications in the national security sector are unrealistic, the more modest goal of safe and effective technology management must be pursued. R At the time, diplomats were primarily concerned with aerial bombardment from motor-driven balloons, but the treaty language was sufficiently broad that it applied to fixed-wing aircraft upon their invention. 51 Belfer Center for Science and International Affairs | Harvard Kennedy School The ban of aircraft fell apart, but the United States, its allies, and even its adversaries did develop a framework that sought to limit the risks of aerospace technology. Though many details will remain unclear until the technology is more mature, eventually the United States and other actors will have to develop a regime that limits the risk of military AI technology proliferation. Lesson #3: Government must both promote and restrain commercial activity Failure to recognize the inherent dual-use nature of technology can cost lives, as the example of the Rolls-Royce Nene jet engine shows. After World War II, the United States recognized that facilitating economic growth of the commercial aerospace industry and maintaining military secrecy were often at odds. For instance, the United Kingdom had superior jet engine technology at the end of World War II but faced significant financial challenges. The British engine manufacturers, seeking export rev- enues, sold 25 of their “commercial” Rolls-Royce Nene Jet Engines to the Soviet

2017-12-01 132页 5星级

Edison：2017年美国智能音箱用户调查报告(英文版)(31页) (3).pdf

65%say that they wouldnt want to go back to life without their Smart Speaker Methodology 1,010 person telephone survey Adults age 18 and older National study conducted 12/26/2017 12/30/2017 806 person online survey Adults age 18 and older National study conducted 11/17/2017 11/22/2017 All respondents reported owning an Amazon or Google Smart Speaker 16% of Americans 18 own a Smart Speaker, or around 39 million people Google Home is a trademark of Google Inc. Google Home is a trademark of Google Inc. AMAZON ALEXAGOOGLE HOME 4% % owning Smart Speaker Smart Speaker Ownership Total Population 18 11% In the 2017 Holiday Season: 7% of Americans got a Smart Speaker 4% of Americans got their first Smart Speaker Smart Speakers are changing behaviors and forming new habits 39 34 30 27 26 23 17 Traditional AM/FM radio Smartphone Television Tablet Computer Printed publications Is the time you spend using your Smart Speaker replacing any time you used to spend with? % saying yes Sonos or other whole-house audio system Base: Smart Speaker owners 30%of Smart Speaker owners say their speaker is replacing time spent with TV “Compared to the first month of owning a Smart Speaker, are you using it? More often 51% About the same amount 33% Less often 16% Base: Had a Smart Speaker more than one month and gave a response 23% who are listening to more audio said they are listening to more news/talk 28% who are listening to more audio said they are listening to more podcasts Base: Own a Smart Speaker 71% are listening to more audio since getting a Smart Speaker Top three (3) indexing activities by day part: 5am 9am9am 3pm5pm 7pm7pm 9pm 9pm Midnight #1Traffic Drop in to an Alexa device in home Find restaurants/ businesses Games Control smart home devices #2WeatherAdd to to-do list Recipes/cooking requests Send messages to other devices Audiobooks #3NewsAdd to shopping listOrder foodChildren storiesTimer/alarms 64%of Smart Speaker owners are interested in having Smart Speaker technology in their car Base: Driven or rode in a car in the past month (95%) How interested would you be in having the Smart Speaker technology? 39 31 24 17 16 25 29 29 18 14 20 23 24 24 26 7 7 8 8 12 9 10 15 33 32 In your car/vehicle* On your phone On your television At your workplace At places other than your home/work/car Very Interested (5) Not at all Interested (1) Base: Smart Speaker Owners. *Driven or rode in a car in the past month. The Communal Experience How often do you use the Smart Speaker with others in your household? Most of the time 53% Occasionally 39% Rarely 6% Never 2% Base: Smart Speaker owners 66%of Smart Speaker owners use their speaker to entertain friends and family 60 30 28 18 13 13 13 12 12 11 11 Play music Answer a general question Get the weather Tell a joke Listen to music AM/FM radio Get the news Set a timer/alarm Control household devices Check the time Get a sports score or update Play a game Top tasks requested while spending time with friends and family: % requesting item The Smart Home Where is your Smart Speaker typically located? Living room/family room/den 52% Kitchen 21% Master bedroom 19% Other bedroom 4% Home office 2% Somewhere else 2% Base: Own only one Smart Speaker and giving a response 31%of Smart Speakers owners have controlled household devices with a Smart Speaker in the last week Where in the last week did you request your Smart Speaker to control household devices? % saying yes 61 38 36 14 12 6 3 Living room Kitchen Master bedroom Other Bedroom Bathroom Home office Other room Base: Have controlled household devices with Smart Speaker in the last week 6 46 42 44 34 37 46 Midnight-5am9pm-midnight 7pm-9pm 5pm-7pm 3pm-5pm 9am-3pm 5am-9am At what time in the last week did you request your Smart Speaker to control household devices? 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