Podcasts about sundararajan

Welcome to Ask Stago, the Podcast dedicated to provide expert answers to your expert questions in coagulation.  In today's episode, Anne-Cécile Ortega will further explain what a MyOptiLab audit is — a service offered by Stago that involves a comprehensive workflow study using the Lean Six Sigma methodology. This audit is designed to help laboratories enhance their efficiency by identifying areas for improvement and optimizing processes.  Literature sources: Bhat, R., & Wagh, P. (2013). "Application of Six Sigma methodology in clinical diagnostic laboratories: A case study."  International Journal of Scientific and Research Publications*, 3(7), 1-6.   Goh, T. N., & Ang, K. S. (2011). "The application of Lean Six Sigma in healthcare."  International Journal of Quality & Reliability Management*, 28(6), 548-564.   Sundararajan, V., & Sharma, P. (2012). "Lean Six Sigma in the clinical laboratory: Achieving improvement in laboratory processes."  Clinical Laboratory Management Review*, 26(2), 82-89.   Kendall, J., & Jones, D. (2017). "The role of Lean Six Sigma in clinical laboratory testing." American Journal of Clinical Pathology*, 147(3), 298-305.   Sofiya, L., & Mirza, M. (2014). "Enhancing diagnostic laboratory performance through Lean Six Sigma." Journal of Healthcare Engineering*, 2014, Article ID 870376, 10 pages.     Content is scientific and technical in nature. It is intended as an educational tool for laboratory professionals and topics discussed are not intended as recommendations or as commentary on appropriate clinical practice.

In this conversation with my colleague Srinivasan Sundararajan - aka Srini, we touched upon many topics related to personal finance as well as non-financial planning, including:His passion for data and analyticsUnderstanding that behavior matters as much or more than data and how his own approach to analytics has evolved over timeThe year end being a logical time window to reflect and planStart your reflection and planning from selfPicking the vital few aspects that need to be addressed and focusing measurements and analysis on thatHis reflection on the past year on a personal levelWhile he may not be very excited about planning quarter in quarter, using a quarter as a window to review financial investments , but shorter windows based on what the goals areAspects one should be clear about, both when planning and reflecting on the progress on plansHaving discretionary and non-discretionary aspects in the goals and aspirationsThe importance of making a public commitment or having an accountability buddyHow to use four words of Intrinsic / extrinsic, need/want driven to test motivationThe link to the blog post referred to by Srini on the four words related to motivation: https://pm-powerconsulting.com/blog/4-words-test-motivational-level/ 

“Keep a little fire burning; however small, however hidden.” — Cormac McCarthyHope is fundamental to human existence. It is paradoxical in its duality, however, as its very existence implies the possibility of despair (Lynch, 1962). This dialectic between hope and despair is central to considerations of chronic illness management, as well as to studies of the relationship between expectations and the placebo effect (Corbett, et al., 2007; Ratcliffe, 2011). Hope influences expectation, but is a distinct and multifaceted cognitive, embodied, and broadly existential experience (Mattingly, 2010). In order to maintain hope when faced with a situation that appears hopeless, individuals must navigate multiple contradictions between reality and possibility, embrace cultural notions of what is deemed acceptable to hope for, and be attentive to the hopes and concerns of significant others (Averill and Sundararajan, 2005; Chesla, 2005; DelVecchio Good, et al., 1990; Sulmasy, et al., 2010; Brown, 2015).RESOURCE: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721951/GET AN OCCASIONAL PERSONAL EMAIL FROM ME: www.makeyourdamnbedpodcast.comTUNE IN ON INSTAGRAM FOR COOL CONTENT: www.instagram.com/mydbpodcastOR BE A REAL GEM + TUNE IN ON PATREON: www.patreon.com/MYDBpodcastOR WATCH ON YOUTUBE: www.youtube.com/juliemerica The opinions expressed by Julie Merica and Make Your Damn Bed Podcast are intended for entertainment purposes only. Make Your Damn Bed podcast is not intended or implied to be a substitute for professional medical advice, diagnosis or treatment. Get bonus content on PatreonSupport this show http://supporter.acast.com/make-your-damn-bed. Hosted on Acast. See acast.com/privacy for more information.

On this episode, financial journalist Govindraj Ethiraj talks to Arun Sundararajan, Harold Price Professor of Entrepreneurship and Professor of Technology, Operations and Statistics at New York University's (NYU) Stern School of Business, an affiliated faculty member at many of NYU's interdisciplinary research centers including the Center for Data Science, and the author of “The Sharing Economy.”In this conversation you will learn about some of the inner mechanics of how large language models are used in AI tools, and how this will have far-reaching impact on the job markets, Healthcare, financial planning, creative industries like visual art and music, intellectual property rights, disinformation, and more.Connecting the Dots with Arun Sundararajan on YoutubeFor more of our coverage check out thecore.inSubscribe to our NewsletterFollow us on:Twitter | Instagram | Facebook | Linkedin | Youtube

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Shapley Value Attribution in Chain of Thought, published by leogao on April 14, 2023 on The AI Alignment Forum. TL;DR: Language models sometimes seem to ignore parts of the chain of thought, and larger models appear to do this more often. Shapley value attribution is a possible approach to get a more detailed picture of the information flow within the chain of thought, though it has its limitations. Project status: The analysis is not as rigorous as I would prefer, but I'm going to be working on other directions for the foreseeable future, so I'm posting what I already have in case it's useful to others. Thanks to Jacob Hilton, Giambattista Parascandolo, Tamera Lanham, Ethan Perez, and Jason Wei for discussion. Motivation Chain of thought (CoT) has been proposed as a method for language model interpretability (see Externalized Reasoning Oversight, Visible Thoughts). One crucial requirement for interpretability methods is that they should accurately reflect the cognition inside the model. However, by default there is nothing forcing the CoT to actually correspond to the model's cognition, and there may exist theoretical limitations to doing so in general. Because it is plausible that the first AGI systems bear resemblance to current LMs with more sophisticated CoT and CoT-like techniques, it is valuable to study its properties, and to understand and address its limitations. Related work Shapley values have been used very broadly in ML for feature importance and attribution (Cohen et al, 2007; Štrumbelj and Kononenko, 2014; Owen and Prieur, 2016; Lundberg and Lee, 2017; Sundararajan and Najmi, 2020). Jain and Wallace (2019) argue that attention maps can be misleading as attribution, motivating better attribution for information flow in LMs. Kumar et al. (2020) highlight some areas where Shapley value based attribution falls short for some interpretability use cases. Madaan and Yazdanbakhsh (2022) consider a similar method of selectively ablating tokens as a method of deducing what information the model is dependent on. Wang et al. (2022) find that prompting with incorrect CoT has surprisingly minor impact on performance. Effect of Interventions We use a method similar to Kojima et al. (2022) on GSM8K (Cobbe et al., 2021) with GPT-4 to first generate a chain of thought and evaluate the answer, and then for all chains of thought that result in a correct answer we perform an intervention as follows: we choose a random numerical value found in the CoT, and replace it with a random number in a +/-3 range about the original. We then discard the remainder of the CoT and regenerate it. If the LM is following strictly the CoT described, this intervention should almost always result in an incorrect answer, the same way one would if they made a mistake in one calculation and propagated the error through to the answer (with occasional rare cases where the new value happens to also result in the correct answer, though from qualitative inspection this is very rarely the case). Some cherrypicked examples (red = intervention, blue = correct continuations that are seemingly non-sequiturs): We test how frequently this occurs in several different settings (n=100): SettingAccuracy (w/ CoT)P(error not propagated | original correct)GPT4, zero shot0.880.68GPT4 base, 2-shot0.730.63GPT3.5, zero-shot0.430.33 Interestingly, if we condition on the CoT answer being correct and the single forward pass answer being incorrect (i.e the LM could only solve the problem with the CoT), the intervened accuracy for GPT-4 is still 0.65. Shapley value attribution We would like to get more granular information about the causal structure (i.e which tokens cause which other tokens). One thing we could do is look at how an intervention at each token affects the logprob of each other token. However, one major prob...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Shapley Value Attribution in Chain of Thought, published by leogao on April 14, 2023 on The AI Alignment Forum. TL;DR: Language models sometimes seem to ignore parts of the chain of thought, and larger models appear to do this more often. Shapley value attribution is a possible approach to get a more detailed picture of the information flow within the chain of thought, though it has its limitations. Project status: The analysis is not as rigorous as I would prefer, but I'm going to be working on other directions for the foreseeable future, so I'm posting what I already have in case it's useful to others. Thanks to Jacob Hilton, Giambattista Parascandolo, Tamera Lanham, Ethan Perez, and Jason Wei for discussion. Motivation Chain of thought (CoT) has been proposed as a method for language model interpretability (see Externalized Reasoning Oversight, Visible Thoughts). One crucial requirement for interpretability methods is that they should accurately reflect the cognition inside the model. However, by default there is nothing forcing the CoT to actually correspond to the model's cognition, and there may exist theoretical limitations to doing so in general. Because it is plausible that the first AGI systems bear resemblance to current LMs with more sophisticated CoT and CoT-like techniques, it is valuable to study its properties, and to understand and address its limitations. Related work Shapley values have been used very broadly in ML for feature importance and attribution (Cohen et al, 2007; Štrumbelj and Kononenko, 2014; Owen and Prieur, 2016; Lundberg and Lee, 2017; Sundararajan and Najmi, 2020). Jain and Wallace (2019) argue that attention maps can be misleading as attribution, motivating better attribution for information flow in LMs. Kumar et al. (2020) highlight some areas where Shapley value based attribution falls short for some interpretability use cases. Madaan and Yazdanbakhsh (2022) consider a similar method of selectively ablating tokens as a method of deducing what information the model is dependent on. Wang et al. (2022) find that prompting with incorrect CoT has surprisingly minor impact on performance. Effect of Interventions We use a method similar to Kojima et al. (2022) on GSM8K (Cobbe et al., 2021) with GPT-4 to first generate a chain of thought and evaluate the answer, and then for all chains of thought that result in a correct answer we perform an intervention as follows: we choose a random numerical value found in the CoT, and replace it with a random number in a +/-3 range about the original. We then discard the remainder of the CoT and regenerate it. If the LM is following strictly the CoT described, this intervention should almost always result in an incorrect answer, the same way one would if they made a mistake in one calculation and propagated the error through to the answer (with occasional rare cases where the new value happens to also result in the correct answer, though from qualitative inspection this is very rarely the case). Some cherrypicked examples (red = intervention, blue = correct continuations that are seemingly non-sequiturs): We test how frequently this occurs in several different settings (n=100): SettingAccuracy (w/ CoT)P(error not propagated | original correct)GPT4, zero shot0.880.68GPT4 base, 2-shot0.730.63GPT3.5, zero-shot0.430.33 Interestingly, if we condition on the CoT answer being correct and the single forward pass answer being incorrect (i.e the LM could only solve the problem with the CoT), the intervened accuracy for GPT-4 is still 0.65. Shapley value attribution We would like to get more granular information about the causal structure (i.e which tokens cause which other tokens). One thing we could do is look at how an intervention at each token affects the logprob of each other token. However, one major prob...

Bringing a silicon valley mindset to facilitation, Arjun is building a new platform for meetings, to help managers bridge the facilitation skills gap they currently face. Subscribe to Managing Remote Teams podcast on Soundwise

ஒருத்தி| இன்னொருத்தி - லாவண்யா சுந்தரராஜன்||Oruththi|Innoruththi - Lavanya Sundararajan-Twin Stories

# அலை படகு - லாவண்யா சுந்தரராஜன் - சிறுகதை - Alaipadagu - Lavanya Sundararajan - Short Story

Today, guest preacher JP Sundararajan will be bringing us the message.

Speaker: Rev. Dr. J.P. Sundararajan South Harbor Church is a community of believers seeking to follow Jesus together and get a fresh start on life.

Finding a ride, booking an overnight stay, running errands for someone— these amenities have been around for a while. But peer to peer platforms that offer these services have dominated the market in recent years. In his book, The Sharing Economy, professor of technology and economic expert Arun Sundararajan unpacks the concept of crowd-based capitalism. He breaks down his extensive research and presents numerous real-world examples, including Airbnb, Uber, Etsy, and more.As the line between personal and professional blur in commercial exchange, how do these changes affect government regulation, the job market, and our overall social fabric?Episode Quotes:Why did you use ‘The Sharing Economy' as a title for your book, as opposed to the on-demand economy? And why do you think that these underlying principles are still applicable six years after it's been published?I am still convinced six years later that the future of capitalism in the United States is going to be what I described as crowd-based capitalism— where we create platforms of increasing influence — that sits somewhere between that 18th-century marketplace and that 20th century. The visible hand of Alfred Chandler's traditional organization will be the new template for organizing the economic activity of the 21st century.Are sharing platforms leading to a shift away from mass markets toward community-based markets, or even a mix of community-driven markets and trust-based mass markets?I think it's an aspirational part of my argument. I'll explain what I mean. In my reading of economic history, a lot of the connection, the human connection, was stripped out of commercial interaction. As we invented mass production distribution and the organization of the 20th Century, we made commerce more faceless and impersonal, as opposed to being connected. And this is one of the things that drew me to the sharing economy when I started participating in it. You know, you'd have a conversation with your BlaBlaCar driver in Europe. With your Lyft driver, you'd sit in the front seat. You'd fist bump, and you'd chat with your Airbnb host.The role of the GPS technology in making the shared economy work and flourishAt the foundation of our ability to utilize the capacity of assets more effectively is the rise of sophisticated personal technology, like PCs everywhere or more importantly, the smartphone. A significant fraction of the world's consumers now have the extremely powerful general-purpose GPS-enabled device that they carry around. The fact that your consumer has that powerful device that can run software that can track their location, allows you to start to think about business models that may not have worked in the absence of this widespread consumer technology.Thoughts on how the shared economy is challenging and changing the employee-employer relationship globally, and how government regulations on workers are affected?We seem to have tied it in many countries across the world to this one arrangement of work. Which is, I provide all of my labor and talent to you, you pay me a salary, and therefore you are the natural party. The employer also provides me with the safety net dimensions that the government has decided that the private sector will provide, rather than the government providing it themselves. And that's where we run into trouble in a platform world. Because the nature of the relationship between the individual and institution is fundamentally different here. It's not as tightly coupled, and it's not as exclusive as General Motors' relationship with its factory workers. You know, I think a lot of people idealize the idea of employment as being sort of the best way to organize work.Show LinksGuest ProfileArun Sundararajan Faculty Bio at NYUArun Sundararajan on LinkedInArun Sundararajan on TwitterHis WorkArun on Google ScholarsThe Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism

In this episode of Lavish Hope, host Liz Testa welcomes JP Sundararajan to reflect on his calling to come to the US from his native India, navigating bi-culturalism and learning powerful leadership lessons full of "grace and grit" along the way to becoming the director of a denominational Global Mission ministry with 120 projects serving nearly 50 countries around the world.

ichai Sundararajan (born July 12, 1972), known as Sundar Pichai (/ˈsʊndɑːr pɪˈtʃaɪ/), is an Indian-American business executive. He is the chief executive officer (CEO) of Alphabet Inc. and its subsidiary Google. Born in Madurai, India, Pichai earned his degree from IIT Kharagpur in metallurgical engineering. Moving to the United States, he attained an M.S. from Stanford University in materials science and engineering and further attained an MBA from the Wharton School of the University of Pennsylvania, where he was named a Siebel Scholar and a Palmer Scholar, respectively. --- Send in a voice message: https://anchor.fm/greatideasgreatlife/message

In this week's episode of #DamaniTalks we had Dr. Srikanth Sundararajan, General Partner at VenturEast. With over 33+ years of entrepreneurial and investor experience, he has had an impressive journey! VenturEast is one of the longest-standing venture capital fund managers in India, investing since 1997 and managing close to $325+ million. They have 100+ investments in Technology, Healthcare, and Clean Environment Key takeaways from this episode: How did Dr. Srikanth's education help him develop managerial skills? What was his role at Hewlett-Packard? What made Dr. Srikanth chose this role and the company in 1988? After working at Informix, why did Dr. Srikanth decide to leave and build something of his own? Where did the name Pretzel Logic Software Inc come from? What was the genesis of the idea? Why did Dr. Srikanth decide to move on from Pretzel after 9 years? What was Dr. Srikanth's experience like having held CXO level roles at some of the biggest names in the technology space? When did he begin investing in startups? What was Dr. Srikanth's key learning from his time at Helion Advisors? Why did he leave Helion Advisors and start teaching in IIT? Why did Dr. Srikanth decide to join Ventureast as a general partner instead of going out on your own? What are the exciting companies in VenturEast's current portfolio? What are his focus verticals? Dr. Srikanth's author recommendations: James A. Michener Irving Stone P. G. Wodehouse --- Send in a voice message: https://anchor.fm/damanitalks/message Support this podcast: https://anchor.fm/damanitalks/support

Dr. Srikanth is currently a General Partner at Ventureast, one of the oldest venture capital firms in India (started around 1997), and has raised and deployed about $400 Million USD. In the past, he has held the post of CTO for HCL and Cognizant and prior to that he was an entrepreneur. Srikanth also is a visiting professor at Indian School of Business and IIT Bhubaneshwar among a few other universities. In this episode, we speak to him about the transition from being the CTO of large enterprise-tech businesses to being a venture investor, about the SaaS market in India and a bunch of other things he is passionate about (cricket!).

The COVID-19 pandemic has forced the majority of companies to completely readjust to stay in business. For the sharing economy companies, in particular, the pandemic has highlighted that the gig economy has become an integral and necessary part of the American workforce. Yet, several regulatory and legislative initiatives expose the long-term viability of this working arrangement and the benefits it provides. In this episode, Arun Sundararajan, Professor of Entrepreneurship at New York University's Stern School of Business, shares his perspectives on the current legislative and regulatory climate surrounding the gig economy.

It is estimated 2 out of 3 Australian adults are classified as being overweight or obese and sadly this statistic is predicted to increase in the future. More and more people with BMI’s of over 40 are turning to weight loss surgery to help them fight their battle with their weight. Making an informed decision about undertaking any surgical procedure is paramount so, today on MediTalk we are speak with Dr Siva Sundararajan a General and Bariatric Surgeon at St John of God Hospital in Subiaco. Dr Siva Sundararajan will help us better understand Gastric Bypass Surgery, which is actually considered the gold standard operation for weight loss. In this interview I ask Dr Sundararajan about what makes you a good candidate for gastric bypass surgery. As well as, what to expect, how to prepare, why have gastric bypass surgery vs. sleeve. Dr Siva Sundararajan explains how some people are seeking weightloss surgery now to improve their fertility and that it is actually advised to take precaution to not fall pregnant 1-2 years post surgery. There are various weightloss surgery options which are all explained throughout the interview so it is a good episode to listen too if you are considering weightloss surgery. Thank you Dr Siva Sundararajan for taking the time to be interviewed on Meditalk. For more information on Dr Sundararajan visit: https://www.sjog.org.au/find-a-doctor/search-results/s/u/n/d/sundararajan-siva-subiaco If you have found this interview of help please forward to a friend who may benefit from hearing it or take 1-2 minutes to provide a star rating on Apple Podcasts. Thank you kindly for taking the time to support and listen to Meditalk Podcast which is an independent Australian Medical Podcast for everyday poeple wanting to empower themselves with knowledge. Stay well and stay safe, D :-)

Arun Sundararajan, New York University professor and author of The Sharing Economy, studies the future of capitalism, and is an expert on how platform business models are transforming society. In this episode, MBO Partners talks to Arun about how the leaders in digital work-related platforms will definite templates for how economic activity will be conducted in the 21st century.Arun speaks about how the byproduct of the platformization of the world and the emergence of the sharing economy has been the growing fraction of people who have an attractive alternative to taking a full time job with a company and how this allows millions of small business owners and independent workers to get access to opportunity that they otherwise wouldn't have had. He talks about the emergence of a more border-fluid landscape for capital creation and what that means for individual workers and how platforms and government in tandem need to make sure that checks remain in place to stave further income inequality. He also speaks about the necessary shift in focusing workforce development education on mid-career education and how we need to equip workers to react opportunistically to the inevitable shifts in opportunities in the work force. He ends by discussing how the administration needs to think about supporting workforce change without reliance on traditional employment models as the only solution and the need for an individual, government and platform partnership.The conversation highlights some of the insights in the 2020 State of Independence in America report. Now in its tenth year of publication, the report takes a data-driven approach to understanding the growth of opportunities for both the independent professional and the enterprise organizations looking to hire them. Future episodes of this podcast will provide further insights on the report's findings. About This Episode's GuestArun Sundararajan is the Harold Price Professor of Entrepreneurship and Professor of Technology, Operations and Statistics at NYU Stern School of Business. A future of work expert, he is the author of the book The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. His current research focus is on the future of capitalism, artificial intelligence and platform-enabled change, antitrust policy in tech, and the digital future of work. He has been a member of the World Economic Forum's Global Future Councils on Technology, Values and Policy and the New Economic Agenda. He works with tech companies on issues of strategy, litigation and regulation, and with non-tech companies trying to understand how to forecast and address changes induced by digital technologies. About MBO Partners®MBO Partners is a deep jobs platform that connects and enables independent professionals and microbusiness owners to do business safely and effectively with enterprise organizations. Its unmatched experience and industry leadership enable it to operate on the forefront of the independent economy and consistently advance the next way of working. For more information, visit​ mbopartners.com.Episode hosted by Aassia Haq; produced, edited, and engineered by Leslie Jennings Rowley. With music by Brian Burrows.MBO Partners © 2021

Bringing a silicon valley mindset to facilitation, Arjun is building a new platform for meetings, to help managers bridge the facilitation skills gap they currently face.

Srikanth Sundararajan is the General partner at VenturEast, an India focused fund that helps tech startups looking to go global from India across segments like education, health, financial services, agritech, and Enterprise SaaS. Srikanth has 25+ years of international experience in the software product and services having worked at HP, Informix in the US, and was part of the executive leadership team at HCL, the world wide CTO at Cognizant and the COO at Persistent through its successful IPO. In the US he had also successfully founded his own startup, Pretzel Logic Software Inc., which was acquired by BEA spinoff WebGain. BEA was later acquired by Oracle. He was also part of the founding team at IDS, which was also acquired.He is also a visiting faculty of computer science at IIT Bhubaneswar and has taught at several US universities. He also serves on national committees on technical education, an initiative of MHRD, Government of India. He was also a member of the tech committee for the Government of India initiative on indirect taxes (Customs and Excise).He holds a B Tech degree from Indian Institute of Technology, Madras, and a MS/PhD in Computer and Information Sciences from University of Illinois, Urbana Champaign. He has several publications and is the holder of patents, jointly with HP.. . .The Desi Startups of the Week:1. Foodwalas: Foodwallas is a Gourmet food delivery startup that lets mom and pop stores to reach a big, national audience.2. Elo App: A vernacular audio streaming app for you to consume content if your preferred language.. . .In this week's episode we will cover:1. Learnings through investing during the pandemic (3:29)2. Srikanth's background (8:20)3. What aspect of Srikanth's past is most valuable to him today as a VC (11:17)4. What made Srikanth join VenturEast? (21:02)5. Investment thesis at VenturEast (24:32)6. Disruption: Incumbents vs new entrants (34:05)7. Is legacy software dying? (41:29)8. Differences in investing in different tiers in India (47:45)9. Srikanth's preference: startups from tier 2/3 markets or those targeting tier 2/3 markets (54:25)10. India and its deep tech ambitions (56:53)11. Rapid fire (59:15)

Emerging technology such as ARVR, AI and Automation are changing at a rapid rate. In this episode, Adam Torres and Sriram Sundararajan, Founder and CEO at HyperGrowth Labs and Adjunct Professor at Santa Clara University and Stanford University, explore current emerging technology trends.Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule.Apply to be interviewed by Adam on our podcast:https://missionmatters.lpages.co/podcastguest/Visit our website:https://missionmatters.com/

Análise do livro "Economia Compartilhada" de Arun Sundararajan - Leituras Bimodais. Quer participar das Leituras Bimodais? Me mande um zap, que te dou as coordenadas: 21-996086422 Arquivos: bimodais.com.br/leituras

Análise do livro "Economia Compartilhada" de Arun Sundararajan - Leituras Bimodais. Quer participar das Leituras Bimodais? Me mande um zap, que te dou as coordenadas: 21-996086422 Arquivos: bimodais.com.br/leituras

#4 Economia Compartilhada Arun Sundararajan Leituras Bimodais

Análise do livro "Economia Compartilhada" de Arun Sundararajan - Leituras Bimodais. Quer participar das Leituras Bimodais? Me mande um zap, que te dou as coordenadas: 21-996086422 Arquivos: bimodais.com.br/leituras

Análise do livro "Economia Compartilhada" de Arun Sundararajan - Leituras Bimodais. Quer participar das Leituras Bimodais? Me mande um zap, que te dou as coordenadas: 21-996086422 Arquivos: bimodais.com.br/leituras

Análise do livro "Economia Compartilhada" de Arun Sundararajan - Leituras Bimodais. Quer participar das Leituras Bimodais? Me mande um zap, que te dou as coordenadas: 21-996086422 Arquivos: bimodais.com.br/leituras

Arun Sundararajan is the Harold Price Professor of Entrepreneurship and Professor of Technology, Operations and Statistics at New York University’s Leonard N. Stern School of Business, and an affiliated faculty member at NYU’s Center for Data Science and NYU’s Center for Urban Science & Progress. His best-selling book, “The Sharing Economy,” published by the MIT Press, was the winner of a 2017 Axiom Best Business Books Award, and has been translated into five languages. Arun has also published over 50 peer-reviewed scientific papers and over 35 op-eds. We talk to Arun about the Sharing Economy, the end of ownership, and the trouble with GDP. For previous episodes, head over to www.zuora.com/podcast

On today's episode, we are joined by authors Narayan Sundararajan and Jacen Green to discuss their newly published book "The Rule of One: The Power of Intrapreneurship". We discuss the journey of Grameen-Intel Social Business a partnership between Grameen and Intel Corporation from the beginning to now 9-years later.  We also discuss the desire of the authors to share the successes and failures of their social business to inspire other corporations and individuals to pursue untraditional partnerships to improve the world.  

Prasanna Sundararajan, founder and CEO for rENIAC, Inc., joins Chip Chat to talk about using Intel® FPGAs to accelerate demanding data-centric applications. rENIAC's solutions leverage Intel FPGAs to help customers surmount the unprecedented challenges presented by new data opportunities. Its Data Engine solution provides an intermediary layer between Apache Cassandra* clients and database nodes, bringing storage closer to the network through intelligent caching and accelerating transactional and AI applications. In this interview, Sundararajan discusses his and rENIAC's work, the bottlenecks that rENIAC and its customers have encountered when using NoSQL databases like Apache Cassandra, and how rENIAC data engine, Intel FPGAs, and Intel® Optane SSDs are helping customers eliminate these bottlenecks. To learn more about rENIAC, please visit https://www.reniac.com/. To learn more about Intel FPGAs, please visit http://intel.com/fpga and follow http://twitter.com/intelfpga on Twitter. Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

Scripture: Matthew 5:13-16 Have you ever heard the phrase, “that person is a salt of the earth person?” Have you ever wondered what that meant? Here Jesus makes clear what is the mission, the vocation, the task and responsibility of those who live according to the Beatitudes.

Arun Sundararajan, a professor at NYU’s Stern School of Business and author of the recent book The Sharing Economy, believes crowd-based capitalism could replace managerial capitalism in the next 10-20 years. Sundararajan believes crowd-based capitalism is an inherently superior model, one that uses resources more efficiently, which tends to result in increased economic productivity. Crowd-based capitalism, according to Sundararajan, also tends to increase the variety, diversity, and sometimes quality of goods, which results in higher levels of consumption. Economists don’t agree on much, Sundararajan says, but “if there are two things we agree about, one is that productivity growth leads to economic growth, and the other is that increases in consumption lead to economic growth.” Sundararajan’s research also indicates that crowd-based capitalism will have an equalizing effect on the economy by beginning to de-centralize the means of production.

Prasanna Sundararajan, founder and CEO of rENIAC, joins us to talk about his startup's FPGA-based acceleration technology for big data analytics. rENIAC recently gained financial backing from Intel Capital.

NYU Stern FinTech Conference 2017, 11.3.17 Session: Automation and Financial Services Panel: Michael Kearns, University of Pennsylvania, National Center Chair and Computer Science Professor Vasant Dhar, Professor, Stern School of Business and Center for Data Science Arun Sundararajan, Professor Stern School of Business, and author of “The Sharing Economy: the End of Employment and the Rise of Crowd-based Capitalism” This is the Impact Innovation Podcast by Rebel Method. Bringing you events and panels on different topics to keep you on the edge of innovation and accelerating impact founders from zero to impact. What your event covered? Or have comments or suggestions? Message Sergio on LinkedIn here: www.linkedin.com/in/sergiomarrero Music credit: Starlight by NUBY https://soundcloud.com/nubymusik/starlight

Oct. 15 (Bloomberg) -- Bloomberg View columnist Barry Ritholtz interviews Arun Sundararajan, who is a professor of business at New York University. Sundararajan is also the author of the book "The Sharing Economy and Crowd-Based Capitalism." This commentary aired on Bloomberg Radio.

Arun Sundararajan is the author of The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. He is a professor of business at the Stern School of Business at NYU. He is interested in researching how digital technology brings about change in our economy and he has published over 50 scientific papers and over 30 op-eds on subjects related to this research.   The sharing economy is a very hot topic at the moment. How will the sharing economy evolve? How will it impact traditional jobs? How many vendors will succeed in this type of economy? Although we are still in the very beginning stages of this type of economy, Arun Sundararajan’s extensive research allows us to take a deeper look into what a sharing economy actually is and what the future of this space looks like.   When asked what the sharing economy actually is, Sundararajan says he believes that a sharing economy has at least 5 characteristics. One of the characteristics is that a sharing economy takes an activity that was once provided by a large institution and takes it to a marketplace type environment. One example of this is shown in hotels vs. Airbnb. Not long ago if you were traveling out of town most likely you would stay at a large hotel chain such as Hilton or Holiday Inn. Nowadays Airbnb has become extremely popular. So instead of staying in a large hotel chain owned by a large corporation, people are using the marketplace type platform of Airbnb to stay in other people’s houses.   Another characteristic is that there is a blurring of lines between personal and professional. Companies like Uber and Airbnb are a great example of this. We are using these professional platforms for things that we used to only do on a personal level with friends or family. We are getting a ride from a stranger or staying in a room in a stranger’s house.   Some of the other characteristics he touches on are that we are using assets more efficiently and therefore there is an increase in impact in capital of labor of assets, there has been a shift in who is providing the services, meaning a job that used to be done by a group of highly trained professionals is now done by a distributed group of people who may not have had any specialized training, and there is a blurring of lines between professional full time work and casual freelance work.   When talking about the sharing economy it is important to note the advances and innovations that have allowed us to get here. One of the important advances that is necessary for a sharing economy is a comfort with digital platforms. The fact that we have become so used to and dependent on digital platforms such as Ebay, Craigslist and Amazon has played into the growth of the sharing economy. We have become very comfortable with using technology in our everyday life.   Another innovation that had to come about before we could have a sharing economy is the GPS. There are several platforms such as Uber that would not work without GPS. Which leads into another innovation that is essential to a sharing economy, and that is the Smartphone. The Smartphone makes it so easy and convenient for people to connect to platforms such as Uber, Upwork, Airbnb, etc…  Another important aspect of our move towards a sharing economy was trust. Even 20 years ago we didn’t have the trust needed to allow a sharing economy to succeed. Platforms such as Ebay and Craigslist eased us into this trust several years ago. People were able to purchase items to be sent to them and the trust needed was fairly limited. You needed to trust that they would send the products on time and in good condition, but there really wasn’t much risk involved. Now, our trust level has gone up to the point where we are now allowing individuals to come into our home to paint or clean or we are putting ourselves into a stranger’s car.  Even though it has taken a lot of innovation and forward moving to get where we are, Sundararajan feels that we are coming full circle back to the work model of the 18th century where transactions were peer to peer. The only difference is now we are putting platforms in between the individuals. The sharing economy is like a hybrid between the 18th century marketplace and the 20th century organization. Sundararajan hopes that people will see the move towards a sharing economy more as an opportunity then a threat. He feels that this shift in our economy will bring us back to genuine human contact in our everyday economic activities.   In the next few years Sundararajan would like to see the sharing economy expand rapidly. However, to have this happen successfully there are two things that he believes are important to focus on. One is funding for things such as paid vacation, insurance, and other benefits. At this time these things are funded by a company or the government in exchange for full time employment, however if we move towards the crowd based capitalism it will be important to find another way to fund these types of benefits. Another thing that is important is getting past the “regulatory conflict” as quickly as possible. He believes that if we can get past both of these hurdles, then the future of crowd capitalism and a sharing economy is promising.   What you will learn in this episode:  What the sharing economy actually is  What are some of the popular companies in this space  Trends that are fueling and enabling the sharing economy to actually happen  Get a look into the differences between the platforms being used  How many vendors will succeed and thrive in this space?  How big is the freelance economy?  Legal issues that organizations deal with in a sharing economy  Economics and the business impacts of all of this   Where all of this is going in the future  Link From The Episode: The Sharing Economy On Amazon.com   (Music by Ronald Jenkees)

Arun Sundararajan, author of the book The Sharing Economy, talks with Om about megacities, universal basic income and the consumption experience.

We all share, but today, millions get paid for it. Is this new trend just a fad or is it radical rethink for how we work? When we catch a ride with an Uber driver or contract with someone on Upwork, we marvel at the convenience. What we often overlook is the amount of trust it takes to ride with a stranger or to work with someone we may never meet. Yet that level of trust is what is driving the sharing economy, a form of commerce that harkens back to the 11th-century Maghribi traders. In his book, The Sharing Economy: The End of Employment and the Rise of Crowd-based Capitalism, NYU Stern Professor Arun Sundararajan provides the context and the history for how we got here. He also paints a picture for where we are headed, particularly when it comes to labor and safety policies and regulations. A recognized authority on the sharing economy, he has written for the New York Times, Wired, the Financial Times, and Harvard Business Review. In this interview, we talk about: What makes the sharing economy similar to 18th-century commerce How we are making the shift away from corporate buying to peer purchasing How the sharing economy is blurring the lines between personal and professional How the pendulum is swinging back to relationships, connections, and gifts How the sharing economy speaks to our yearning for making and connection What the 11th-century Maghribi traders can teach us about trust and commerce Ways the sharing economy encourages us to do a better job Whether the sharing economy can reduce inequality How the sharing economy requires different labor regulations and policies How the government can partner with platforms to rethink regulations How labor regulations were designed for an era of full-time workers Why our economy will increasingly rely on stakeholders other than government How blockchain tech promises a world where crowd is market maker Why trust is embedded in this economic shift How new forms of trust will enable new forms of commerce What is it about digital cues that help us trust one another? Selected Links to Topics Mentioned Arun Sundararajan @DigitalArun The Gift by Lewis Hyde Robert Nesbitt Sherry Turkle Karl Marx Emile Durkheim Maghribi Traders Capital by Thomas Piketty The Inevitable by Kevin Kelly New York University Stern School of Business Upcounsel HourlyNerd Gigster Upwork BlaBlaCar Blockchain technology If you enjoy the podcast, please rate and review it on iTunes. For automatic delivery of new episodes, be sure to subscribe. As always, thanks for listening! Thank you to Emmy-award-winning Creative Director Vanida Vae for designing the Curious Minds logo, and thank you to Rob Mancabelli for all of his production expertise! www.gayleallen.net LinkedIn @GAllenTC

Love the term or hate it, the concept and reality of the "sharing economy" (or "gig economy" and so on) is here to stay. And in fact, argues NYU Stern professor and researcher Arun Sundararajan, it may even reduce the income distribution gap between the haves and have-nots in a way that previous shifts -- like the Industrial Revolution and traditional 20th century institutions -- never did. How? Because it's a new model for (crowd-based) capitalism -- one where we're increasing the segment of the population that owns the means of production. Or... have we just shifted value from traditional institutions to the platforms instead? Well, let's see what the data tells us. In this episode of the a16z Podcast, Sundararajan (who is also affiliated with NYU's Center for Urban Science+Progress and at NYU's Center for Data Science) shares the latest findings, economics research, and more from his new book on The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. We cover the challenges of capturing this shift in GDP (as well as the challenges of GDP and measuring tech progress in general); the challenges of creating a new funding model for the "social safety net of the 21st century workforce"; the challenges of "data darwinism", reputation, and ratings; and finally, how and just who should regulate the sharing economy? The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation. This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/. Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

Released June 16, 2016   Last month I sat down with Dr. Arun Sundararajan, NYU Stern professor and author of The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. Over the course of our spirited discussion, we touched on the emergence of hybrid institutions and the ongoing tug-of-war between community and brands.     For more, please visit www.instigating.co/podcast/arun-sundararajan Or subscribe on Soundcloud https://soundcloud.com/instigatingco        

Drawing on extensive research and numerous real-world examples — including Airbnb, Lyft, Uber, Etsy, TaskRabbit, France’s BlaBlaCar, China’s Didi Kuaidi, and India’s Ola, Arun explains the basics of what he’s coined “crowd-based capitalism” — a new way of organizing economic activity that will replace the traditional corporate-centered model.

Arun Sundararajan is Professor and the Robert L. and Dale Atkins Rosen Faculty Fellow at New York University's Leonard N. Stern School of Business. He is also an affiliated faculty member at NYU's Center for Urban Science+Progress, and at NYU's Center for Data Science. Professor Sundararajan's research program studies how digital technologies transform business and society. His current scholarly research focuses on peer-to-peer markets, the sharing economy, digital trust, social media and brand, digital labor, new institutions, regulation, social networks and online privacy. He has published over 50 scientific papers in peer-reviewed academic journals and conferences, and has given more than 200 invited talks at industry, government and academic forums internationally. His research has been recognized by six Best Paper awards, two Google Faculty awards, and a variety of other grants. He has served on numerous editorial boards for scholarly journals. He has provided expert input about the digital economy as part of Congressional testimony and to a variety of city, state and federal government agencies, including the Presidential Council of Advisers on Science and Technology, the National Economic Council, the Federal Reserve Bank, the White House, and the Federal Trade Commission. His op-eds and expert commentary have appeared in TIME Magazine, the New Yorker, the New York Times, the Guardian, Washington Post, Le Monde, El Pais, Wired, TechCrunch, the Wall Street Journal, the Financial Times and Harvard Business Review, and a variety of radio shows and TV programs. He has served as Director of NYU Stern's IS Doctoral Program since 2007, is one of the founders of the Workshop on Information in Networks, is a member of the City of New York's Technology Advisory Group, and is an advisor to Cisco Systems, OuiShare, the Center for Global Enterprise, and theNational League of Cities. Professor Sundararajan's new book, The Sharing Economy, is all about crowd-based capitalism will be published in Spring 2016 by the MIT Press.   Topics Discussed: - Crowd-based capitalism - The impact of blockchain on the sharing economy - The freelance economy and what it means for generalists v specialists - The role of regulators in the sharing economy - Consultant marketplaces - The importance of being adaptable in the 21st Century   Show Notes: oz.stern.nyu.edu/ @digitalarun on Twitter Get the book - https://amzn.to/2xwfaEC     --- I hope you enjoyed this episode. If you’d like to receive a weekly email from me, complete with reflections, books I’ve been reading, words of wisdom and access to blogs, ebooks and more that I’m publishing on a regular basis, just leave your details at www.futuresquared.xyz/subscribe and you’ll receive the very next one. Listen on Apple Podcasts @ goo.gl/sMnEa0 Also available on: Spotify, Google Play, Stitcher and Soundcloud Twitter: www.twitter.com/steveglaveski Instagram: www.instagram.com/@thesteveglaveski Future Squared: www.futuresquared.xyz Steve Glaveski: www.steveglaveski.com Medium: www.medium.com/@steveglaveski

The Michigan Citizen Newspaper presents podcasted interviews with participants of Techonomy Detroit 2014. Khary Frazier of Detroit is Different hosts the series of interview shorts recorded Tuesday September 16, 2014. This interview features Arun Sundararajan. Arun is a NYU professor of Urban Science.

The compound hydroxylamine is remarkably close in structure to ammonia, and differs only in containing an additional hydroxyl, thereby giving it basic properties. Normally a crystalline compound at room temperature, this base is also known to play significant roles as a reducing agent as well as in imine formation.Imines are highly reactive nitrogen double-bond containing compounds that are formed through an addition reaction with a carbonyl group in acidic conditions (aldehyde/ketone): Despite their rather explosive nature, hydroxylamines are useful compounds in themselves or in their other derived forms.For more information on hydroxylamines, click on this link.1). Hydroxyammonium NitrateBeing the salt of hydroxylamine and nitric acid (via an acid-base reaction), this corrosive and toxic substance is held in high regard by rocket scientists, as this compound is considered to be a potential rocket propellant. The following shows the synthetic mechanism of creating this compound:Click on this link for more information on the properties of the energetic compound hydroxyammonium nitrate and its significant use as a rocket propellant.Click on this link directing to a Chem 243 lecture describing the various reactions of aldehydes and ketones (including imine formation).2). Separation of Aldehydes and Ketones using Oxime DerivativesIn the case of hydroxylamines, the resulting imine products that are formed from their interaction with a carbonyl in acidic conditions results in the formation of a special subset of imines known as oximes (from aldehyde – aldoxime/from ketone – ketoxime). Oximes are normally colorless crystalline compounds. In fact, it is this property of these compounds that allow for their usage in determining the identity of the respective aldehyde/ketone that the hydroxylamine originally reacted with. In the following example, the use of the hydroxylamine derivative para-nitrobenzyl hydroxylamine is reacted with the respective carbonyl compound. As a result, the new compound is easily able to be detected and identified through separation techniques such as High Performance liquid Chromatography (HPLC), as the nitro groups increase molar absorptivity and increased sensitivity. In addition, alkylated oxime groups are more easily seperated by the technique HPLC than standard ones.As the peer article referred to didn’t provide a mechanism as to how the p-nitrobenzyl hydroxylamine was synthesized, I have provided a sample mechanism that leads to its production:This link leads to the respective peer review article referred to in obtaining this information.Click on one of the following three links that direct to Chem 243 lectures for information on:A) Electrophillic Aromatic Substituion (use of Friedel-Crafts Alkylation in order to add a methyl group to a benzene ring).B) Ortho/Para Vs. Meta Directing Groups (ability of methyl group on benzene ring to direct the respective nitro group being added on through a nitration reaction to a para position).C) Side Chain Reactions of Aromatic Compounds and introduction to Aldehyde and Ketone properties (substitution of methyl's hydrogen on the benzyl position with bromine through free radical halogenation).3. Synthesis of CaprolactamCaprolactam is one the many monomeric subunits used in the overall synthesis of the material Nylon-6. Once an imine synthetic reaction is performed on a cyclohexanone with a hydroxylamine, the resulting product can be converted into caprolactam through a specific reaction known as the Beckmann Rearrangement. The Beckmann Rearrangement is an acid catalyzed reaction that allows for the conversion of an imine into an amide, as seen below:For more information on the synthetic properties of the formed caprolactam, please click on this link.Compound InfoHydroxylamine: PubChem 789 hydroxylamine Oxammonium Oxyammonia Nitroxide NH2OHChemACXnet to purchase ACX number X1008257-2 CAS number 7803-49-8