As a free benefit for participants, we would like to extend an invitation to the Amazon SageMaker workshop on Feb 14 from 1p-4p.
LEARN MOREWelcome to the Fintech vertical page! In order to make the most of the time the weekend of the event, please review our key educational materials and data sets.
Be Prepared! Start thinking through what types of data could power your business and product ideas. Often times a combination of multiple, disparate data sets can yield the most ingenious ideas and solutions!
The following videos were recording during the April 19 Panel event. You may wish to reference them in preparation of the weekend ML event.
ML Panel moderated by Dan Weld. Panelists: Xin Luna Dong, Yejin Choi & Kevin Jamieson
WATCH VIDEOVC Panel moderated by Jay Bartot. Panelists: Tim Porter, Mike Miller, Pradeep Rathinam & Ankur Teredesai
WATCH VIDEOFinTech or financial technology is used describe new tech that seeks to improve and automate the delivery and use of financial services. At its core, fintech is utilized to help companies, business owners and consumers better manage their financial operations, processes and lives by utilizing specialized software and algorithms that are used on computers and, increasingly, smartphones.When fintech emerged in the 21st Century, the term was initially applied to technology employed at the back-end systems of established financial institutions. Since then, however, there has been a shift to more consumer-oriented services and therefore a more consumer-oriented definition. Fintech has expanded to include any technological innovation in — and automation of — the financial sector, including advances in financial literacy, advice and education, as well as streamlining of wealth management, lending and borrowing, retail banking, fundraising, money transfers/payments, investment management and more.
The global banking industry is worth $8 trillion. Americans have $5.5T saved in preparation for retirement. US financials services grouped with insurance makes $4.6T in revenue each year with a 3% growth rate. Wealth management platforms are worth $1.9B and growing at 13%. The financial advisory market is worth $55B and growing at 5%. The personal finance software industry is expected to be worth $895M this year, growing at 6% annually. The P2P lending market will be $460B in 2022 and is growing at 51% each year. The financial app market is growing 13% each year and will be worth just over $100B in 2019. Growth is spurred by technology adoption, economic cycles, and consumer demand.
The most useful way to segment the focus area is by financial service provided, working your way through the banking industry. Budgeting, banking, insurance, mortgages, retirement, tax planning, estate, investing, etc.
Banking and securities are the highest spenders on IT as a % of revenue at 7.16%
Certain segments within FInancial services are spending less that others, capital markets is spending much less than average and growing slower. Consumers have shown they’re willing to spend on new technology solutions and finance businesses have begun capitalizing on this trend.
Previous winners:
Edward Jones
Credit Karma
Sofi
Affirm
Recent M&A:
Cotiviti by Verscend Tech ($4.9B) - analytics driven payment accuracy
Financial Engines ($3.2B) - online investment manager platform
WePay by JPM ($400M) - advances smart payment platform
Rising stars:
Nerdwallet ($105M) - expert info and tailored recommendations in finance
Happy Monday ($72M Raised) - combining psychology and money to live happier
Juvo ($54M raised) - establishes financial identity for billions of people who have no credit
Early seeds:
Spring Labs ($15M seed) - transparent, secure, credit identity on blockchain
Zero ($11M seed) - cashback on debit card
Grove ($8M seed) - personalized financial advice
Can ML/AI improve personal finances in new ways?
What part of financials services/banking can be automated?
How can we educate those who want to learn finances?
Can we Provide transparency in plain english?
How can we prepare for the recession?
Can we save people or make people more money?
Interest rates changing
Robo advising
Quantitative Investing - Algorithms
Cryptocurrencies, or the death of
Financial Transparency (ESG)
Business credit
Bank Agnostic - Banking as a service
Zero cost products
Tax Reform
Smart Contracts
Partnering with banks
Predictive fraud detection
Cyber security
Smarter lending
Cashless and mobile payments
Financial coaching
Credit card amenities
Improve efficiency, limit waste
Automate labor
Simplify previously complicated processes, e.g. loan approval
The average consumer is becoming more cognisant of their finances and in turn will continue to seek new services to help them. This focus area is historically rich with right tailed opportunities and likely has many more to come. Everything man does is governed in some way by money.
Government regulation
Recession
Legal Issues
Your novel business idea should be grounded in real-world data with plausible machine-learning/analytics on top. We've compiled a collection of datasets from which to gain inspiration. Note that you are not restricted to basing your idea on the data sets below. You may discover other open source data sets that inspire your creativity or you may bring your own proprietary data sets if you wish.
Many of the datasets below are from Kaggle, Figure-Eight (Crowdflower), Data.World, etc. The advantage of these datasets is that many have been cleaned and normalized and are ready to be explored with ML and data science tools. Note that the use of these datasets is often intended for research purposes only. Be sure to read any associated license agreements to understand if there are commercial restrictions if you plan to continuing using the data after the workshop is over.
The FDIC is often appointed as receiver for failed banks. This list includes banks which have failed since October 1, 2000
Idea: Build a model that identifies key markers and points to banks that are likely to fail over the next 3 months, thus allowing regulators to better target their resources.
Using 8 years daily news headlines to predict stock market movement
All Ethereum data from the start to May 2017
AssetMacro offers Free Historical Data for Leading Indicators of Economies and Market Data for Stocks, Bonds, Commodities and Currencies
Tweets from verified users concerning stocks traded on the NYSE, NASDAQ, & SNP
Using 8 years daily news headlines to predict stock market movement
Historical daily prices and volumes of all U.S. stocks and ETFs
https://www.cbinsights.com/reports/CB-Insights_Fintech-Trends-2018.pdf
Mckinsey: Synergy and disruption - Ten trends shaping fintech
https://www.pwc.com/gx/en/industries/financial-services/assets/pwc-global-fintech-report-2017.pdf
https://www.pwc.com/gx/en/financial-services/assets/pdf/technology2020-and-beyond.pdf