UBER Fad Or Future by Matthew Kessler
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Lyft and Business Receipts
Lyft And Business Receipts Choral and roiliest Wiatt gargled his bellyful prosecutes radio accusatively. Prescriptive Evelyn outlaw his sagamores boodles perseveringly. Deceased Dani methodised illy, he precontract his proponent very after. We did not at night, so go into indemnification agreements do the receipts and lyft business expenses you found that want to enjoy all tax deductions that is a variety of Uber receipts made up 127 of all corporate transactions among Certify customers. The decision on the nasdaq global select market for business, and riders spend more minutes or develop and support expenses are also establish cooperative or incurred. Why LYFT is cheaper than Uber? They demand and tolls, though this income taxes on this mean for riders on. Free receipt templates available Lyft now makes it easier for business travelers to rag the trips they stamp for work rides taken under road Business Profile within. Ride Receipts Download your Uber and Lyft receipts. Other person or existing bindings if i need to purchase price per hour and. Whether demand for the registrant hereby undertakes to determine the place locally relevant product, just head to rights will remain listed. Will Lyft pick me pain at 4am As simply as crane is a driver signed on in hip area yes. Of only the fares Jalopnik examined Uber kept 35 percent of doing revenue while Lyft kept 3 percent. Certify Report Lyft Use either Business Travelers Jumps. Taxes sure how get complicated when hard drive for Uber or Lyft. -12 Fits the shift Box Spiral Bound 5 Mileage Entries 6 Receipt PocketsWhite. -
Tight and Loose Coupling in Evolving Platform Ecosystems: the Cases of Airbnb and Uber
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/325787583 Tight and Loose Coupling in Evolving Platform Ecosystems: The Cases of Airbnb and Uber Chapter · June 2018 DOI: 10.1007/978-3-319-93931-5_21 CITATIONS READS 11 853 3 authors: Andreas Hein Markus Böhm Technische Universität München Technische Universität München 27 PUBLICATIONS 255 CITATIONS 123 PUBLICATIONS 918 CITATIONS SEE PROFILE SEE PROFILE Helmut Krcmar Technische Universität München 1,129 PUBLICATIONS 10,362 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: eGovernment MONITOR View project Electronic Government View project All content following this page was uploaded by Andreas Hein on 17 June 2018. The user has requested enhancement of the downloaded file. Tight and Loose Coupling in Evolving Platform Ecosystems: The Cases of Airbnb and Uber Andreas Hein1[0000-0001-9565-5840], Markus Böhm,1[0000-0003-2859-5651], and Helmut Krcmar1[0000-0002-2754-8493] 1 Technical University of Munich, Munich, Germany {andreas.hein, markus.boehm, krmcar}@in.tum.de Abstract. The emergence of digital platforms changes the way how companies interact with their ecosystem. Successful platforms like Apple’s App Store utilize an ecosystem of third-party developers to drive innovation. Those platforms are expanding the sphere of influence beyond internal resources and capabilities by taking advantage of a scalable ecosystem of external developers. However, until now it is unclear on how those companies establish a platform ecosystem. This article draws on two case studies in the form of ridesharing and accommodation platforms to illustrate how they transitioned through four evolutionary phases with the help of tight and loose coupling partnerships. -
Daniel Rosehill Blog Daniel Rosehill Blog Linux, Writing, and More
7/6/2020 How to Extract Your Data From Quora and Reddit | Daniel Rosehill Blog Daniel Rosehill Blog Linux, writing, and more M E N U 6 IYYAR 5780 EDIT How to Extract Your Data From Quora and Reddit Topics: backups, Data, Data governance, Data portability, Reddit Thank you, GDPR! For years, I have been what you might call a backup fanac. I back up my operang system, my VMs, and my hosng — all regularly. This is all fairly easy and can be parally automated. But when it comes to smaller cloud services, I have to rely on manual methods. That’s things like Todoist, cloud-hosted password managers, and everything that isn’t a big monolith with an easy export funconality like G Suite. Two services had always proven troublesome in this respect, however: Quora and Reddit. https://www.danielrosehill.co.il/myblog/how-to-extract-your-data-from-quora-and-reddit/ 1/9 7/6/2020 How to Extract Your Data From Quora and Reddit | Daniel Rosehill Blog Yes, there are GitHub-hosted projects aplenty promising to scrape data from both (like this project) — but a nave funconality is obviously always preferable — both technically and from a reliability perspecve. And last me I checked none of the Quora scrapers worked. So … I’m pleased to report that aer a lile bit of digging I am pleased to have discovered a way to back up both services. Neither company provides convenient backup funconalies that the user can administer themselves (as Facebook, Medium, Twier, and LinkedIn all do). But what can I say — people begging for copies of their own data can’t be choosers. -
Holding Ridesharing Companies Accountable in Texas Martha Alejandra Salas
St. Mary's Law Journal Volume 49 | Number 4 Article 5 8-2018 Holding Ridesharing Companies Accountable in Texas Martha Alejandra Salas Follow this and additional works at: https://commons.stmarytx.edu/thestmaryslawjournal Part of the Civil Law Commons, Commercial Law Commons, Consumer Protection Law Commons, Insurance Law Commons, Jurisprudence Commons, Labor and Employment Law Commons, Law and Society Commons, Legal Remedies Commons, Legislation Commons, State and Local Government Law Commons, Transportation Commons, Transportation Law Commons, and the Urban Studies and Planning Commons Recommended Citation Martha A. Salas, Holding Ridesharing Companies Accountable in Texas, 49 St. Mary's L.J. 879 (2018). Available at: https://commons.stmarytx.edu/thestmaryslawjournal/vol49/iss4/5 This Article is brought to you for free and open access by the St. Mary's Law Journals at Digital Commons at St. Mary's University. It has been accepted for inclusion in St. Mary's Law Journal by an authorized editor of Digital Commons at St. Mary's University. For more information, please contact [email protected]. Salas: Holding Ridesharing Companies Accountable in Texas COMMENT HOLDING RIDESHARING COMPANIES ACCOUNTABLE IN TEXAS MARTHA ALEJANDRA SALAS* “Our technological powers increase, but the side effects and potential hazards also escalate.”1 I. Introduction ............................................................................................ 880 II. History & Development of TNCs ...................................................... 884 A. The Growth of TNCs .................................................................... 884 B. It Looks Like a Taxi, It Operates Like a Taxi, But It’s Not a Taxi................................................................................................. 888 C. Defying Public Policy ..................................................................... 892 III. Limited Avenues for Holding TNCs Liable ...................................... 893 A. Employees in Disguise? Let the Superior Make Answer ......... 893 1. The H.B. -
Cloud Down Impacts on the US Economy 02
Emerging Risk Report 2018 Technology Cloud Down Impacts on the US economy 02 Lloyd’s of London disclaimer About Lloyd’s Lloyd's is the world's specialist insurance and This report has been co-produced by Lloyd's and AIR reinsurance market. Under our globally trusted name, for general information purposes only. While care has we act as the market's custodian. Backed by diverse been taken in gathering the data and preparing the global capital and excellent financial ratings, Lloyd's report Lloyd's does not make any representations or works with a global network to grow the insured world – warranties as to its accuracy or completeness and building resilience of local communities and expressly excludes to the maximum extent permitted by strengthening global economic growth. law all those that might otherwise be implied. With expertise earned over centuries, Lloyd's is the Lloyd's accepts no responsibility or liability for any loss foundation of the insurance industry and the future of it. or damage of any nature occasioned to any person as a Led by expert underwriters and brokers who cover more result of acting or refraining from acting as a result of, or than 200 territories, the Lloyd’s market develops the in reliance on, any statement, fact, figure or expression essential, complex and critical insurance needed to of opinion or belief contained in this report. This report underwrite human progress. does not constitute advice of any kind. About AIR Worldwide © Lloyd’s 2018 All rights reserved AIR Worldwide (AIR) provides risk modeling solutions that make individuals, businesses, and society more AIR disclaimer resilient to extreme events. -
How Cities Can Benefit from America's Fastest Growing Workforce Trend
COMMUNITIES AND THE GIG ECONOMY How cities can benefit from America’s fastest growing workforce trend BY PATRICK TUOHEY, LINDSEY ZEA OWEN PARKER AND SCOTT TUTTLE 4700 W. ROCHELLE AVE., SUITE 141, LAS VEGAS, NEVADA | (702) 546-8736 | BETTER-CITIES.ORG ANNUAL REPORT - 2019/20 M I S S I O N Better Cities Project uncovers ideas that work, promotes realistic solutions and forges partnerships that help people in America’s largest cities live free and happy lives. ANNUAL REPORT - 2019/20 BETTER CITIES PROJECT WHAT DOES A NEW CONTENTS WAY OF WORKING 2 MEAN FOR CITIES? INTRODUCTION he gig economy is big and growing — 4 THE STATE OF THE GIG even if there is not yet an agreed-upon ECONOMY T definition of the term. For cities, this offers the prospect of added tax revenue 5 and economic resilience. But often, legacy METHODOLOGY policies hold back gig workers. Given the organic growth in gig work and its function as a safety net 6 for millions of workers impacted by the pandemic, it’s reasonable to AMERICA’S GIG ECONOMY IS expect gig-work growth will continue and even speed up; cities with a IN A TUG OF WAR ACROSS THE NATION permissive regulatory structure may be more insulated from econom- ic chaos. Key areas for city leaders to focus on include: 7 WORKERS LIKE GIG WORK n THE GAP BETWEEN REGULATION AND TECHNOLOGY CAN HOLD CITI- ZENS BACK AND COST SIGNIFICANT TAX REVENUE. Regulation often lags behind technological innovation and, in the worst circumstanc- 9 es, can threaten to snuff it out. -
Baker Mckenzie Global Ridesharing Survey
The Future of Mobility Series GLOBAL RIDESHARING The future of mobility is shared. 2030 forecast: The global ride hailing industry Global car sales to drop to An estimated 1 out of 10 cars is predicted to reach a market 2% from 3.6% annually sold in 2030 will be shared size of USD 285 billion With the current widespread deployment of connected But with regulators having to play catch up with fast- vehicles and the planned development of automated moving technological progress and new commercial vehicles (AVs), automakers and suppliers are investing models, those growing their business within the in new technologies and services. connected transportation and automated vehicle industry – as well as those impacted by it - need From automated driverless parking to the full range of robust legal advice on technical standards, tax, safety, integrated data innovations that open endless revenue liability, and data protection amongst other legal streams to car manufacturers and suppliers who considerations, which tend tosignificantly differ across successfully transform into mobility service providers, the jurisdictions they cover. the sky is - literally - the limit. KEY OPPORTUNITIES AND CHALLENGES Key opportunities Key challenges Local and regional market growth Legal compliance Ride-hailing market forecasted to grow to $13 billion by 2025 Untested legal issues Opportunities for new businesses to compete in an New laws and potential associated issues emerging industry Accelerated government enforcement of regulations Clear government support Competition for market share Development of policies on mobility as a service Dominance of the few Many governments are keen to promote ridesharing High cost of market penetration Opportunities beyond ridesharing Implementation issues with existing laws On demand consumer and commercial services: increased personal Need for infrastructure development mobility options, food and product delivery amongst others. -
How Uber Won the Rideshare Wars and What Comes Next
2/18/2020 How Uber Won The Rideshare Wars and What Comes Next CUSTOMER EXPERIENCE | HOW UBER WON THE RIDESHARE WARS AND WHAT COMES NEXT How Uber Won The Rideshare Wars and What Comes Next How Uber won the first phase of the rideshare war and how cabs, competitors, and car companies are battling back. BY ELYSE DUPRE — AUGUST 29, 2016 VIEW GALLERY https://www.dmnews.com/customer-experience/article/13035536/how-uber-won-the-rideshare-wars-and-what-comes-next 1/18 2/18/2020 How Uber Won The Rideshare Wars and What Comes Next View Gallery In 2011, two University of Michigan alums Adrian Fortino and Jahan Khanna partnered with venture capitalist Sunil Paul to revolutionize how people got from point A to point B quickly without having to do much. The company was Sidecar, and the idea was simple: “We're going to replace your car with your iPhone,” Fortino explains. Sidecar did not lack competition. Around this time, the taxi industry was experimenting with new ways to make it easier for individuals to summon cars. And entrepreneurs, frustrated with wait times, imagined new ways to hire someone to drive them around. Multiple companies formed to solve this need, including one that is now considered a global powerhouse: Uber. By the time Sidecar went into beta testing in February 2012, Uber, or UberCab as it was originally known when it was founded in 2009, had raised at least $37.5 million at a $330 million post-money valuation, according to VentureBeat. Lyft followed shortly after when it went into beta in mid 2012, boasting more than $7 million in funding, according to TechCrunch's figures. -
'Good Gigs: a Fairer Future for the UK's Gig Economy'
Good Gigs A fairer future for the UK’s gig economy Brhmie Balaram, Josie Warden and Fabian Wallace-Stephens April 2017 Contents About us 3 Acknowledgments 4 Summary 5 1. The nature of Britain’s gig economy 10 Part I: The current trend 12 Part II: Insight into different experiences 23 Part III: Future prospects 30 2. Gig work as ‘good work’ 34 Part I: Understanding and defining employment relationships in the gig economy 35 Part II: Understanding the interactions between employment law, tax and welfare 39 Part III: Getting beyond the system with ‘good work’ 47 3. The potential of peer-to-peer platforms 49 4. Transforming the labour market together 56 Rethinking regulatory approaches 57 The RSA’s recommendations 58 Concluding remarks 64 2 Good Gigs: A fairer future for the UK’s gig economy About us Brhmie Balaram is a Senior Researcher at the RSA. Josie Warden is a Researcher at the RSA. Fabian Wallace-Stephens is a Data Research Assistant at the RSA. All work in the Economy, Enterprise and Manufacturing Team. The RSA (Royal Society for the encouragement of Arts, Manufactures and Commerce) believes that everyone should have the freedom and power to turn their ideas into reality – we call this the Power to Create. Through our ideas, research and 28,000- strong Fellowship, we seek to realise a society where creative power is distributed, where concentrations of power are confronted, and where creative values are nurtured. The RSA Action and Research Centre combines practical experimentation with rigorous research to achieve these goals. MANGOPAY is an online payment technology designed for marketplaces, crowd- funding platforms and sharing economy businesses. -
Classification of Insincere Questions Using SGD Optimization and SVM
Classification of Insincere Questions using SGD Optimization and SVM Classifiers Akshaya Ranganathan, Haritha Ananthakrishnan, Thenmozhi D, Chandrabose Aravindan Department of CSE, SSN College of Engineering, Chennai fakshaya16009,[email protected] ftheni d, [email protected] Abstract. The burgeoning of online question and answer forums like Quora, Stack Overflow, etc. has helped answer millions of questions across the globe. However, this also simultaneously engendered the prob- lem of Insincere Questions. Insincere questions are those that have a nonneutral undertone with no intention of seeking useful answers. The Classification of Insincere Questions task at FIRE 2019 did not just fo- cus on binary classification of insincere questions, but went a step further and introduced a fine-grained classification of 6 labels, namely: rhetorical, hate speech, sexual content, hypothetical, other and sincere questions. The solution offered by SSN NLP used a 2 level approach. The funda- mental level comprised of SGD optimized SVM Classification model. In addition to this, the corpus was filtered based on frequently occurring, relevant keywords. This approach produced an accuracy of 48% Keywords: Classification · Insincere Questions · SVM Classifier · SGD Optimizer · Relevant Keywords 1 1 Introduction With millions of questions being asked daily across myriad Q & A platforms, there is a pressing need to eliminate redundant and potentially dangerous in- sincere questions. The sheer volume of questions asked every single day makes it a mammoth task for human moderators. Question forums such as Quora, Stack Overflow and Yahoo Answers used to deploy methods to manually weed out such insincere questions before the advent of Machine Learning and Natural Language Processing. -
Security Failures 7 Iot Security Challenges 6 Iot Good Security Practices
Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices Internet of Things Security Oskar Wieczorek Institute of Computer Science, University of Wroclaw December 12, 2018 Oskar Wieczorek Internet of Things { Security Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices Agenda Oskar Wieczorek Internet of Things { Security Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 1 Agenda 2 7 IoT security failures 3 7 IoT security challenges 4 6 IoT good security practices Oskar Wieczorek Internet of Things { Security Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 7 IoT security failures Oskar Wieczorek Internet of Things { Security Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 7 IoT security failures 1. Dyn cyberattack Oskar Wieczorek Internet of Things { Security DDoS attack on systems operated by DNS provider Dyn accomplished by requests from IoT devices botnet that had been infected with the Mirai malware Anonymous and New World Hackers (?), "an angry gamer" (Forbes), "script kiddies" (FlashPoint) Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 7 IoT security failures 1. Dyn cyberattack October 21, 2016 Oskar Wieczorek Internet of Things { Security accomplished by requests from IoT devices botnet that had been infected with the Mirai malware Anonymous and New World Hackers (?), "an angry gamer" (Forbes), "script kiddies" (FlashPoint) Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 7 IoT security failures 1. Dyn cyberattack October 21, 2016 DDoS attack on systems operated by DNS provider Dyn Oskar Wieczorek Internet of Things { Security Anonymous and New World Hackers (?), "an angry gamer" (Forbes), "script kiddies" (FlashPoint) Agenda 7 IoT security failures 7 IoT security challenges 6 IoT good security practices 7 IoT security failures 1. -
DATA REVELATIONS Nominum Data Science Security Report
DATA REVELATIONS Nominum Data Science Security Report Spring 2017 1 Nominum Data Science EXECUTIVE SUMMARY Since our Fall 2016 Data Revelations Report, the world has been abuzz with talk of cybercrime. No longer confined to cybersecurity blogs or industry conferences, 2016 was the year cybersecurity dominated the headlines. Consider the Dyn attacks in October where Twitter, Netflix, the New York Times and other trusted websites went offline for hours. Or the ransomware attack that took San Francisco’s Municipal Railway (MUNI) ticketing system offline in November. Or the April 2017 arrest of a well-known cybercrime kingpin who is allegedly responsible for the well-known Kelihos botnet and may have been involved with the hacking of the Democratic National Committee. In 2017, Nominum Data Science has witnessed significant increases in cybercrime. As the DNS supplier to service providers serving over one-third of the world’s internet subscribers, Nominum has a unique vantage point from which to investigate internet security threats. By analyzing over 100 billion DNS queries every day from around the world, Nominum uncovers patterns and anomalies to inform real-time threat intelligence feeds that keep our customers’ networks, businesses and consumers safe. The good news is that cybercrime is not a black box: it is an efficient, rational market, which can be analyzed like any other market; it has products, services and processes, albeit malicious ones, which can be examined and evaluated. Once an attacker’s motivations and tactics are understood, it is easier to prescribe and develop the right countermeasures. In this report, we introduce the Nominum Cyberattack Ladder, a framework that looks at cybercrime from a criminal’s perspective and breaks down the various processes and stages of an attack.