1) Investment groups are racing to develop artificial intelligence systems that can think, learn, and trade like human investors in order to gain an edge over traditional investment strategies.
2) Some of the world's biggest money managers believe that advances in AI, machine learning, and predictive analytics will allow computers to outperform even the best human fund managers.
3) However, others remain skeptical that AI can truly replace human creativity, judgment, and decision-making, arguing that computers may supplement but not replace investors in analyzing markets and managing money.
The document provides a regularly updated collection of interesting and important tech and VC news items. It summarizes several recent news stories, including:
- Growing calls for tools to detect, understand, and defend against AI as advances make it possible to generate indistinguishable digital media and AI impacts more decisions. There is an opportunity for startups in "explainable AI".
- Questions around whether Facebook can be "fixed" given that its advertising model creates users as the product. Changes may undermine the business model.
- The Economist argues that tech monopolies ultimately stifle innovation and consumers. Proposed solutions include greater scrutiny of mergers and enforcing consumer ownership of data.
- Despite Amazon and Alib
Latest collection of things we (Atomico) found interesting and important in tech and VC land, but that didn’t necessarily get the attention they deserve. We think of them as our hidden little gems. We’ll add to the collection over time, so bookmark the page and keep coming back for updates or to dig into the archive.
Go4Venture Bulletin - Venture & Growth Equity Market Report Europe, July 2014CAR FOR YOU
Go4Ventures Bulletin provides a summary of corporate finance activity among emerging European TMT companies:
- Investments, i.e. Venture Capital and Private Equity financings, including growth equity, financing rounds with single secondaries components (recapitalisations)
- M&A Transactions where the sellers are VC and PE-backed European companies, including all majority transactions with no new investment going into the business (e.g. acquisitions, Management Buyouts (MBOs) and other buyouts).
The document provides an overview of recent news and developments in technology and venture capital. Key points include: community growth in cryptocurrency despite price fluctuations; improvements to core blockchain infrastructure and accessibility; and advances in oversight of the cryptocurrency space. It also notes the rise of live, communal interactions through apps like HQ Trivia despite the dominance of on-demand entertainment. Finally, it summarizes recent funding rounds, acquisitions, and other company news.
Fintech M&A: From threat to opportunityWhite & Case
Fintech has evolved from being a disruptive threat to a major
opportunity for financial institutions. The possibilities for
dealmaking and M&A are almost limitless.
Southeast Asia Technology Investment LandscapeWarren Leow
This document discusses perspectives on Southeast Asia's growing marketplaces. It notes that the region has over 650 million people across 10 countries, with a young, growing population and increasing GDP. While challenges include a lack of large regional companies and fragmented markets, opportunities exist in areas like e-commerce, on-demand services, fintech and payments. Examples are given of startup categories and large emerging companies, particularly in Indonesia and those with multi-usage regional platforms. Exits over $500 million are expected to accelerate in the next 3-5 years. The document advocates exploiting arbitrage between Southeast Asia and other regions to quickly scale and globalize top ideas.
The document provides a summary of recent news and developments in technology and venture capital. It discusses topics such as the potential impact of a bear market on private valuations, trends in European founder migration and VC fundraising, Ripple moving its cryptocurrency into real-world use cases, and brief updates on companies like Facebook, Google, Alibaba, and acquisitions. Key questions are raised about how regions can retain founders, the competitive effects of increased European VC funding, and potential M&A activity using cryptocurrency war chests.
How ai technology is changing stock market investors smarterusmsystem
In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is quantitative, to begin with, so that it’s hard not to find traction.
The document provides a regularly updated collection of interesting and important tech and VC news items. It summarizes several recent news stories, including:
- Growing calls for tools to detect, understand, and defend against AI as advances make it possible to generate indistinguishable digital media and AI impacts more decisions. There is an opportunity for startups in "explainable AI".
- Questions around whether Facebook can be "fixed" given that its advertising model creates users as the product. Changes may undermine the business model.
- The Economist argues that tech monopolies ultimately stifle innovation and consumers. Proposed solutions include greater scrutiny of mergers and enforcing consumer ownership of data.
- Despite Amazon and Alib
Latest collection of things we (Atomico) found interesting and important in tech and VC land, but that didn’t necessarily get the attention they deserve. We think of them as our hidden little gems. We’ll add to the collection over time, so bookmark the page and keep coming back for updates or to dig into the archive.
Go4Venture Bulletin - Venture & Growth Equity Market Report Europe, July 2014CAR FOR YOU
Go4Ventures Bulletin provides a summary of corporate finance activity among emerging European TMT companies:
- Investments, i.e. Venture Capital and Private Equity financings, including growth equity, financing rounds with single secondaries components (recapitalisations)
- M&A Transactions where the sellers are VC and PE-backed European companies, including all majority transactions with no new investment going into the business (e.g. acquisitions, Management Buyouts (MBOs) and other buyouts).
The document provides an overview of recent news and developments in technology and venture capital. Key points include: community growth in cryptocurrency despite price fluctuations; improvements to core blockchain infrastructure and accessibility; and advances in oversight of the cryptocurrency space. It also notes the rise of live, communal interactions through apps like HQ Trivia despite the dominance of on-demand entertainment. Finally, it summarizes recent funding rounds, acquisitions, and other company news.
Fintech M&A: From threat to opportunityWhite & Case
Fintech has evolved from being a disruptive threat to a major
opportunity for financial institutions. The possibilities for
dealmaking and M&A are almost limitless.
Southeast Asia Technology Investment LandscapeWarren Leow
This document discusses perspectives on Southeast Asia's growing marketplaces. It notes that the region has over 650 million people across 10 countries, with a young, growing population and increasing GDP. While challenges include a lack of large regional companies and fragmented markets, opportunities exist in areas like e-commerce, on-demand services, fintech and payments. Examples are given of startup categories and large emerging companies, particularly in Indonesia and those with multi-usage regional platforms. Exits over $500 million are expected to accelerate in the next 3-5 years. The document advocates exploiting arbitrage between Southeast Asia and other regions to quickly scale and globalize top ideas.
The document provides a summary of recent news and developments in technology and venture capital. It discusses topics such as the potential impact of a bear market on private valuations, trends in European founder migration and VC fundraising, Ripple moving its cryptocurrency into real-world use cases, and brief updates on companies like Facebook, Google, Alibaba, and acquisitions. Key questions are raised about how regions can retain founders, the competitive effects of increased European VC funding, and potential M&A activity using cryptocurrency war chests.
How ai technology is changing stock market investors smarterusmsystem
In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is quantitative, to begin with, so that it’s hard not to find traction.
This document summarizes how the role of data has grown exponentially since 2010 when the term "big data" was introduced. Some key points made are:
- The amount of data in the world doubles every two years and is predicted to reach 44 zettabytes by 2020.
- 80% of data is now unstructured, presenting new data management challenges.
- Many governments have made more data openly accessible, and countries with more open data tend to be less corrupt.
- Advances in data and artificial intelligence are automating many jobs but also improving recruitment, project management, and other business functions for companies that master how to leverage data.
DealMarket DIGEST Issue 107 // 06 September 2013CAR FOR YOU
1) Despite some large headline deals, M&A and exit activity in Europe remains below previous years according to data from Unquote and Zephyr. Private equity deal activity has remained strong however and is creating a record year for investment banking fees.
2) Crowdfunding is growing in usage and specialization, with new platforms emerging focused on specific industries like medical devices. It is also growing internationally, with new platforms launching in China.
3) Turkey has seen strong M&A activity so far in 2013 despite political unrest over the summer, with deal value up 15% from the previous year.
4) Venture capital activity in Europe has stronger momentum than in the US according to analysts at Go
The document discusses the rise of financial technology (FinTech) and its disruption of traditional financial services. FinTech is using technology to meet customer demands and create new business models, challenging incumbents. Three key areas being disrupted are (1) payments through services like PayPal, (2) alternative lending platforms that compete with banks, and (3) crowdfunding and crowd-investing that could challenge investment banks. The FinTech sector is growing rapidly through new startups and investment. While Silicon Valley and New York have been leaders, Europe, Asia and other regions are gaining competitive FinTech hubs and startups of their own.
This document discusses megatrends in European venture capital investing in 2020 and suggests startups for VCs to consider. It outlines five megatrends, including family offices and corporate funds becoming more active investors, consolidation of capital requiring startups to raise larger funds, VCs providing more company building support, and the DACH region emerging as a leading startup hub. It then provides examples of startups that could match the interests of various VCs, focusing on sectors like audio, agriculture, logistics, fintech, and blockchain.
The document summarizes a survey conducted by the Economist Intelligence Unit of 150 senior executives around the world about factors influencing decisions on entering new markets and establishing regional headquarters. Proximity to large markets and the availability of skilled local labor were cited as the two most important considerations. Over 90% said access to global markets was important for growth. While cheap labor was viewed as less important, strong local skills were seen as more vital. Technological skills of the workforce and access to international talent were also highly important technological factors.
The document discusses right-sizing the U.S. venture capital industry. It argues that the industry is currently too large given poor returns in recent years. The size of the industry grew rapidly in the late 1990s, but performance has stagnated since. Returns have failed to exceed public market indices over 5 and 10 year periods. Additionally, the core information technology sector that drove past success is now mature with lower capital needs. For the industry to improve returns, its size likely needs to shrink through reduced commitments from limited partners.
This document discusses three megatrends - globalization, demographic shifts, and flexible working - that are changing commercial real estate investment. It describes how globalization is increasing capital flows and creating new investment opportunities. Demographic trends like population aging are impacting real estate sectors. The rise of flexible working arrangements and co-working spaces represents an opportunity for investors. The document promotes a co-working investment opportunity offering high returns through a rapidly expanding co-working provider.
Fearless Innovation: Insurtech as the catalyst for change within insuranceAccenture Insurance
Insurtech is in good health. 2017 was characterized by
strong growth, an increase in technological maturity,
and the continued development of local and regional
hubs around the world. Europe and Asia are playing a
more significant role than in the past, and insurers are
forming more partnerships than ever before.
Summary of findings
2018 VC-backed fintech deals and funding set an annual record: In 2018, - VC-backed fintech companies raised $39.57B across 1,707 deals globally. Deals were up 15% year-over-year while funding surged 120% on the back of 52 mega-rounds ($100M+) worth $24.88B combined.
Fintech is happening on global scale with deals outside of core markets (US, UK, and China) accounting for 39% of deals: Fintech deal hubs are starting to emerge globally. The count of unique fintech startups raising funding topped an annual high of 1,463 companies, and the unique number of investors reached 2,745 boosted by an influx of corporate investors.
Early-stage deals, as a percentage, fell to a 5-year low as investors concentrated bets in perceived winners: Global seed and Series A fintech deals grew 5% on an annual basis in 2018, but fell as a percentage of total deals to 57%. US early-stage deals were flat YOY as investors concentrated their bets in established fintech unicorns.
There are 39 VC-backed fintech unicorns worth a combined $147.37B: Q4'18 saw five new unicorns births (Plaid, Brex, Monzo, DevotedHealth, and Toss) and two in the first month of Q1’19 (N26 and Confluent). The cohort’s total valuation in 2018 was boosted by a record year for megarounds to existing unicorns, including Gusto and Robinhood, among others.
This document provides an overview of fintech. It discusses how fintech aims to improve efficiency and reduce costs in financial services by using technology. Fintech includes activities like digital payments, robo-advisors, crowdfunding, and digital lending. The document also outlines opportunities for fintech in India, including a large unbanked population, supportive government policies, and a growing base of smartphone and internet users. Institutional support from universities and business organizations is also helping develop India's fintech ecosystem.
ChatGPT has taken the world by storm and gotten investors looking for the best AI investments. While OpenAI, which created ChatGPT, is a private company, Microsoft is its largest investor and will profit from OpenAI success going forward. Meanwhile, Nvidia stock has soared.
https://youtu.be/pxXFNvrT_gs
1. Fintech has transformed from a hypothetical sector to an actual one in 2015, with many unicorns and startups emerging. However, M&A is proving to be a more common exit strategy than IPO.
2. Asia is becoming a major player in fintech, driven by large populations, underdeveloped banking, and supportive government policies in countries like China, India, and Singapore. Mobile point-of-sale acquiring is booming in Asia.
3. Other trends in 2015 included the success of Stripe and other online payment acquirers, the growth of crowdfunding and crowdinvesting, potential applications of blockchain technology beyond bitcoin, and continued growth of online lending platforms.
ns_investment_guide_supplement_july_2016 (1)Julie Lake
This document provides an overview of new fintech trends that are revolutionizing financial services. It discusses how fintech startups are offering more user-friendly and accessible financial products like money transfer apps, online services providing access to better interest rates across Europe, and smartphone banking. These services are making managing money more convenient. A new app called Bud is being developed to help users build customized banking experiences by matching their financial needs to suitable solutions. Another startup called Cogni plans to launch a digital bank later in the year targeted at small and medium-sized businesses. In summary, fintech is democratizing financial services through more personalized and accessible digital products.
Marketplace unicorns valuations soar to $5.0 trillion since January 2020 as record levels of investment see the sector outpace the entire tech market. Speedinvest, Dealroom and Adevinta take a deep dive into the current and future state of digital marketplaces.
This document provides an overview and analysis of the fintech industry and expectations for 2016. It discusses the growth of fintech in 2015, concerns about continued growth, and predictions for 2016. Key points include:
- Fintech investment nearly doubled from 2014 to 2015, with the five most active investors flexing their muscles.
- Concerns exist around overregulation stifling growth, talent shortages, conservatism of traditional banks in adopting new technologies, and macroeconomic factors.
- Predictions for 2016 include disruption from tech giants through new alliances, increased social media usage in trading, a wave of new startups, focus on financial inclusion and responsible finance, regrowth of cryptocurrency and
Unicorns, Startups, and Giants: The New Billion Dollar Dynamics of the Digita...Orange Silicon Valley
Orange Silicon Valley looks at 60 of the most recent billion-dollar startups to analyze their impact on the global community. The idea is to understand how Incumbents and web Giants fare against the rise of popular services like WhatsApp, Nest, Waze, and others. Where is most of the money coming from? How can businesses evolve to work with these "Unicorns"? This report provides more answers.
This document provides an agenda and background information for a Fintech Bootcamp being held in Boston, MA from 2019-2023. The 4-day bootcamp will be presented by Sri Krishnamurthy, founder and CEO of QuantUniversity, and will cover topics like quantitative methods, data science, big data, and Fintech. Day 1 will include keynotes and an overview of Fintech. Future days will cover the agendas, case studies, and presentations. The document also includes an investment banking report on trends in the Fintech sector like funding amounts, valuations of companies, and notable acquisitions and mergers.
This document discusses several trends in fintech in 2016, including:
1. The focus on mergers and acquisitions of fintech startups as scaling and funding challenges emerge. Integrating services will be important for growth.
2. Booming areas include online remittances, e-wallets, and neo/challenger banks. E-wallets are expanding globally led by PayPal, Android Pay, and Apple Pay. Neo banks like Number26 and Fidor are raising funds.
3. The future may include "fintech banks" that combine multiple fintech services to create new digital banking ecosystems for customers. Scaling challenges remain for many startups to expand globally.
A very interesting report explaining how a collaborative model is taking place between traditional banks and FinTechs, whose strengths and weaknesses are very much complementary to each other.
This document summarizes how the role of data has grown exponentially since 2010 when the term "big data" was introduced. Some key points made are:
- The amount of data in the world doubles every two years and is predicted to reach 44 zettabytes by 2020.
- 80% of data is now unstructured, presenting new data management challenges.
- Many governments have made more data openly accessible, and countries with more open data tend to be less corrupt.
- Advances in data and artificial intelligence are automating many jobs but also improving recruitment, project management, and other business functions for companies that master how to leverage data.
DealMarket DIGEST Issue 107 // 06 September 2013CAR FOR YOU
1) Despite some large headline deals, M&A and exit activity in Europe remains below previous years according to data from Unquote and Zephyr. Private equity deal activity has remained strong however and is creating a record year for investment banking fees.
2) Crowdfunding is growing in usage and specialization, with new platforms emerging focused on specific industries like medical devices. It is also growing internationally, with new platforms launching in China.
3) Turkey has seen strong M&A activity so far in 2013 despite political unrest over the summer, with deal value up 15% from the previous year.
4) Venture capital activity in Europe has stronger momentum than in the US according to analysts at Go
The document discusses the rise of financial technology (FinTech) and its disruption of traditional financial services. FinTech is using technology to meet customer demands and create new business models, challenging incumbents. Three key areas being disrupted are (1) payments through services like PayPal, (2) alternative lending platforms that compete with banks, and (3) crowdfunding and crowd-investing that could challenge investment banks. The FinTech sector is growing rapidly through new startups and investment. While Silicon Valley and New York have been leaders, Europe, Asia and other regions are gaining competitive FinTech hubs and startups of their own.
This document discusses megatrends in European venture capital investing in 2020 and suggests startups for VCs to consider. It outlines five megatrends, including family offices and corporate funds becoming more active investors, consolidation of capital requiring startups to raise larger funds, VCs providing more company building support, and the DACH region emerging as a leading startup hub. It then provides examples of startups that could match the interests of various VCs, focusing on sectors like audio, agriculture, logistics, fintech, and blockchain.
The document summarizes a survey conducted by the Economist Intelligence Unit of 150 senior executives around the world about factors influencing decisions on entering new markets and establishing regional headquarters. Proximity to large markets and the availability of skilled local labor were cited as the two most important considerations. Over 90% said access to global markets was important for growth. While cheap labor was viewed as less important, strong local skills were seen as more vital. Technological skills of the workforce and access to international talent were also highly important technological factors.
The document discusses right-sizing the U.S. venture capital industry. It argues that the industry is currently too large given poor returns in recent years. The size of the industry grew rapidly in the late 1990s, but performance has stagnated since. Returns have failed to exceed public market indices over 5 and 10 year periods. Additionally, the core information technology sector that drove past success is now mature with lower capital needs. For the industry to improve returns, its size likely needs to shrink through reduced commitments from limited partners.
This document discusses three megatrends - globalization, demographic shifts, and flexible working - that are changing commercial real estate investment. It describes how globalization is increasing capital flows and creating new investment opportunities. Demographic trends like population aging are impacting real estate sectors. The rise of flexible working arrangements and co-working spaces represents an opportunity for investors. The document promotes a co-working investment opportunity offering high returns through a rapidly expanding co-working provider.
Fearless Innovation: Insurtech as the catalyst for change within insuranceAccenture Insurance
Insurtech is in good health. 2017 was characterized by
strong growth, an increase in technological maturity,
and the continued development of local and regional
hubs around the world. Europe and Asia are playing a
more significant role than in the past, and insurers are
forming more partnerships than ever before.
Summary of findings
2018 VC-backed fintech deals and funding set an annual record: In 2018, - VC-backed fintech companies raised $39.57B across 1,707 deals globally. Deals were up 15% year-over-year while funding surged 120% on the back of 52 mega-rounds ($100M+) worth $24.88B combined.
Fintech is happening on global scale with deals outside of core markets (US, UK, and China) accounting for 39% of deals: Fintech deal hubs are starting to emerge globally. The count of unique fintech startups raising funding topped an annual high of 1,463 companies, and the unique number of investors reached 2,745 boosted by an influx of corporate investors.
Early-stage deals, as a percentage, fell to a 5-year low as investors concentrated bets in perceived winners: Global seed and Series A fintech deals grew 5% on an annual basis in 2018, but fell as a percentage of total deals to 57%. US early-stage deals were flat YOY as investors concentrated their bets in established fintech unicorns.
There are 39 VC-backed fintech unicorns worth a combined $147.37B: Q4'18 saw five new unicorns births (Plaid, Brex, Monzo, DevotedHealth, and Toss) and two in the first month of Q1’19 (N26 and Confluent). The cohort’s total valuation in 2018 was boosted by a record year for megarounds to existing unicorns, including Gusto and Robinhood, among others.
This document provides an overview of fintech. It discusses how fintech aims to improve efficiency and reduce costs in financial services by using technology. Fintech includes activities like digital payments, robo-advisors, crowdfunding, and digital lending. The document also outlines opportunities for fintech in India, including a large unbanked population, supportive government policies, and a growing base of smartphone and internet users. Institutional support from universities and business organizations is also helping develop India's fintech ecosystem.
ChatGPT has taken the world by storm and gotten investors looking for the best AI investments. While OpenAI, which created ChatGPT, is a private company, Microsoft is its largest investor and will profit from OpenAI success going forward. Meanwhile, Nvidia stock has soared.
https://youtu.be/pxXFNvrT_gs
1. Fintech has transformed from a hypothetical sector to an actual one in 2015, with many unicorns and startups emerging. However, M&A is proving to be a more common exit strategy than IPO.
2. Asia is becoming a major player in fintech, driven by large populations, underdeveloped banking, and supportive government policies in countries like China, India, and Singapore. Mobile point-of-sale acquiring is booming in Asia.
3. Other trends in 2015 included the success of Stripe and other online payment acquirers, the growth of crowdfunding and crowdinvesting, potential applications of blockchain technology beyond bitcoin, and continued growth of online lending platforms.
ns_investment_guide_supplement_july_2016 (1)Julie Lake
This document provides an overview of new fintech trends that are revolutionizing financial services. It discusses how fintech startups are offering more user-friendly and accessible financial products like money transfer apps, online services providing access to better interest rates across Europe, and smartphone banking. These services are making managing money more convenient. A new app called Bud is being developed to help users build customized banking experiences by matching their financial needs to suitable solutions. Another startup called Cogni plans to launch a digital bank later in the year targeted at small and medium-sized businesses. In summary, fintech is democratizing financial services through more personalized and accessible digital products.
Marketplace unicorns valuations soar to $5.0 trillion since January 2020 as record levels of investment see the sector outpace the entire tech market. Speedinvest, Dealroom and Adevinta take a deep dive into the current and future state of digital marketplaces.
This document provides an overview and analysis of the fintech industry and expectations for 2016. It discusses the growth of fintech in 2015, concerns about continued growth, and predictions for 2016. Key points include:
- Fintech investment nearly doubled from 2014 to 2015, with the five most active investors flexing their muscles.
- Concerns exist around overregulation stifling growth, talent shortages, conservatism of traditional banks in adopting new technologies, and macroeconomic factors.
- Predictions for 2016 include disruption from tech giants through new alliances, increased social media usage in trading, a wave of new startups, focus on financial inclusion and responsible finance, regrowth of cryptocurrency and
Unicorns, Startups, and Giants: The New Billion Dollar Dynamics of the Digita...Orange Silicon Valley
Orange Silicon Valley looks at 60 of the most recent billion-dollar startups to analyze their impact on the global community. The idea is to understand how Incumbents and web Giants fare against the rise of popular services like WhatsApp, Nest, Waze, and others. Where is most of the money coming from? How can businesses evolve to work with these "Unicorns"? This report provides more answers.
This document provides an agenda and background information for a Fintech Bootcamp being held in Boston, MA from 2019-2023. The 4-day bootcamp will be presented by Sri Krishnamurthy, founder and CEO of QuantUniversity, and will cover topics like quantitative methods, data science, big data, and Fintech. Day 1 will include keynotes and an overview of Fintech. Future days will cover the agendas, case studies, and presentations. The document also includes an investment banking report on trends in the Fintech sector like funding amounts, valuations of companies, and notable acquisitions and mergers.
This document discusses several trends in fintech in 2016, including:
1. The focus on mergers and acquisitions of fintech startups as scaling and funding challenges emerge. Integrating services will be important for growth.
2. Booming areas include online remittances, e-wallets, and neo/challenger banks. E-wallets are expanding globally led by PayPal, Android Pay, and Apple Pay. Neo banks like Number26 and Fidor are raising funds.
3. The future may include "fintech banks" that combine multiple fintech services to create new digital banking ecosystems for customers. Scaling challenges remain for many startups to expand globally.
A very interesting report explaining how a collaborative model is taking place between traditional banks and FinTechs, whose strengths and weaknesses are very much complementary to each other.
This document provides a table of contents and overview for the book "The Little Book That Builds Wealth" by Pat Dorsey. The book discusses economic moats, which are sustainable competitive advantages that allow companies to generate above-average returns. It identifies the most common types of moats, such as brands, switching costs, and economies of scale. The book provides analysis and tools to help readers identify companies with strong moats and assess what a moat is worth to determine a company's valuation. The goal is to help readers focus their long-term investments on wide moat companies that can generate excess returns over time.
Fintech and other things are coming to TownPietro Leo
This document discusses the rise of financial technology (Fintech) companies and their disruption of traditional banks. It finds that private investment in Fintech is increasing exponentially, with 1% of banking revenue already migrating to Fintech firms. Additionally, some Fintech companies in China have similar numbers of clients as major banks. The document concludes that blockchain technology could transform legacy banking systems through applications like money transfers.
Irrational Exuberance: A Tech Crash is ComingJeffrey Funk
These slides apply Nobel Laureate Robert Schiller's concept of irrational exuberance (and a book) title to the current speculative bubble of 2019. Over investments in startups and a lack of profitability in them are finally starting to catch up with the venture capital industry and the tech sector that relies on it. Investments by US venture capitalists have risen about six times since 2001 causing the total invested in 2018 to exceed by 40% the peak of 2000, the last big year of the dotcom bubble. But the number of IPOs has never returned to the peak years of 1993 to 2000; only about 250 were carried out between 2015 and 2017 vs. about 1,200 between 1995 and 1997.
The reason is simple: startups are taking longer to go public because they are not profitable. Consider the data. The median time to IPO has risen from 2.8 years in 1998 to 7.7 years in 2016 and the ones going public are less profitable than they were in the past. Although only 22% of startups going public in 1980 were unprofitable, 82% were unprofitable in 2018. The same high percentages of unprofitability have only been achieved twice before, in 1998 and 1999 right before the dotcom bubble burst. Furthermore, startups that have recently done high profile IPOs such as Snap, Dropbox, Blue Apron, Fitbit, Trivago, Box, and Cloudera are still not profitable.
This document provides information on Ventures[ ], an online and offline investment platform aiming to become the leading platform for funding conscious technology startups in emerging markets. Its mission is to make startup funding faster and easier for founders globally. The platform uses AI and big data to match investors with promising startups around the world, allowing minimum investments of $1000. It seeks to raise $1 million to reach $3 million in transactions over the next year and further its vision of democratizing impact investing.
Chatbot Statistics 2021 You Cannot Afford To Miss!Maruti Techlabs
The document discusses statistics and predictions about the growth and use of chatbots between 2021 and 2025. It predicts that the global conversational AI market will grow significantly in this period, reaching $13.9 billion by 2025. It also outlines specific predictions for each year regarding increased spending on chatbots, cost savings for businesses, and the growing role of automation and AI in customer interactions.
Technological convergence over the next decade is expected to drive unprecedented economic growth through the combining of five major innovation platforms: artificial intelligence, public blockchains, multiomic sequencing, energy storage, and robotics. As these platforms converge, they are projected to transform industries and accelerate global GDP growth to over 7% annually, compared to the 3% historical average. Artificial intelligence in particular is seen as the central catalyst, with its adoption potentially generating over $220 trillion in new equity value by 2030 and annual returns over 40%. This convergence of technologies is presented as a new wave of general purpose technologies that could dwarf the economic impacts of previous industrial revolutions.
Gafanomics - The Quarterly - Episode 2 (Q2FY19)Fabernovel
Financial analysis of some of the most disruptive Tech companies in the world. This document aims to provide you with some major insights concerning the financial markets and the most disruptive innovations for the second quarter of the financial year 2019.
The document provides an overview of wearable computing and discusses its evolution from early smartwatches in 2004 to the current era defined by devices like Google Glass and smartwatches. It outlines the key developments in wearables over the last decade, from Microsoft's SPOT smartwatch to the growing interest in fitness trackers from Fitbit and Jawbone. Major players like Pebble, Samsung Galaxy Gear, and Google Glass are highlighted as helping drive the wearables revolution forward by connecting low-power sensors to smartphones.
Similar to Fintech search for a super algo - FT (20)
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
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January 20, 2016 7:18 pm
Robin Wigglesworth
Investment groups race to create a thinking, trading computer. But will
AI machines become the Warren Buffetts of the future?
early three decades ago, Warren Buffett penned an annual letter to his adoring investors
mocking an insidious new trend beginning to make its mark in the money management
industry: the computer.
“In my opinion, investment success will not be produced by arcane formulas, computer
programs or signals flashed by the price behaviour of stocks and markets,” he scoffed in his
1987 annual letter. But the chairman of Berkshire Hathaway, famous for his longterm strategic
thinking, may have shortchanged one of the great forces reshaping investment.
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Fintech: Search for a superalgo
6. Martin Taylor cited 'blackbox algorithmic
funds' for the closure of Nevsky Capital
Artificial intelligence, Hedge fundsRELATED TOPICS
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Algorithms: Blaming the technology
Financial markets are becoming increasingly algorithmic, but not everyone is happy with this evolution,
bemoaning increasingly complex markets that defy traditional analysis.
Nevsky Capital, a $1.5bn hedge fund, earlier this month decided to
call it quits after a long period of success, partly blaming “black box
algorithmic funds” for making markets harder to navigate for old
fashioned investors. That is a common lament among fund
managers these days, who often see pernicious algorithms hiding
behind every inexplicable, sharp market movement.
This may worsen further in the coming years, as algorithms become
increasingly complex and sophisticated, and more money
managers use them. And while computers are quicker, smarter and
shorn of human behavioural biases, they come with their own
weaknesses.
Disaster can strike quickly. For example, Knight Capital, a high
frequency trading firm, imploded in 2012 when its computers ran
amok, in practice losing $10m a minute in a devastating 45minute
trading blitz. As Gavekal, a brokerage, acerbically noted at the time:
“Sometimes all computers do is replace human stupidity with machine stupidity. And, thanks to speed and
preprogrammed conviction, machine stupidity can devour markets far faster than any human panic can
achieve.”
Algos based on artificial intelligence techniques may be the next generation of quantitative finance, but
even industry insiders say they can unravel when confronted with the chaotic reality of markets. “This stuff
in the hands of the wrong people can be very dangerous,” says Tom Doris, the head of Otas Technologies.
For example, selfdriving cars suffered twice as many accidents as humandriven ones in 2013, according
to a University of Michigan study. Most of them were minor scrapes, and the human drivers were at fault in
every case, but this is a vivid illustration of how accidents can happen when man meets machine —
whether on the road or in markets.