Machine learning and predictive analytics have started to make a real difference in the VC world when it comes to finding investments; VC’s typically traveled a lot and met with thousands of companies to find a few investments; by using machine learning to break down troves of data, like job postings or performance in the App Store, investors can find potential gems without the same laborious effort; VC firms are investing in tools to help them refine searches and comb through thousands of companies quickly; increased computing power and cheaper ways to rent server capacity has really helped VC’s, even the small firms, use these techniques every day. Source.
41 fintech artificial intelligence deals occurred in the first quarter of 2017; other top industries for investment in the first quarter included sales and client relationship management and health care; overall, there have been 2,320 total deals from the first quarter of 2012 through the first quarter of 2017 accounting for investment of $15.4 billion. Source
CB Insights has provided a market map of artificial intelligence (AI) companies in fintech; the map is grouped by nine categories; top companies using innovative AI solutions for credit scoring and direct lending include Affirm and ZestFinance; the analysis also provides insight on each of the firm's investors. Source
TD Ameritrade’s investment in their Halo Desktop a few years ago allowed the company to get ahead of the curve...
Barclays US is trying to ensure they use AI in a efficient yet non intrusive way so their customers can get the most out of the technology; Tearsheet spoke with Mona Jantzi, managing director of strategic analytics and customer experience at Barclays US, to learn more about how the bank uses AI; topics discussed include using data to shape customer experience, going beyond product offerings, the dangers of AI use with data and more. Source.
TD Bank is looking to boost their AI driven technologies by their recent acquisition of Toronto based Layer 6; Layer 6 provides AI powered prediction engine for data; Michael Rhodes, group head, innovation, technology and shared services, TD Bank, says to Banking Technology that AI has “potential to power a new generation of data-driven applications from personalized and real-time advice to predictive analytics that will shape the future of banking for millions of individuals”.; the deal represents the fourth AI focused move by the bank in the past couple of years. Source.
Hong Kong-based TNG FinTech Group Raises a $115mn series A round; the round was led by New Margin Capital, with participation from Nogle Group and Infinity-KBR Group; the funds will be used to expand globally and invest in new technologies including blockchain. Source.
Artificial intelligence company, Flamingo, has listed on the Australian Securities Exchange and partnered with online lender, DirectMoney; the company seeks to help increase the sales conversion rate of online customers through web chat, web forms and artificial intelligence that guides customers through an online purchase. Source
Lend Academy provides details on IBM Watson's acquisition of Promontory Financial Group, a firm used to help navigate complex banking regulations; IBM has acquired Promontory to train Watson on Dodd-Frank which includes 22,000 pages of regulation; Promontory has experience from a long list of banking veterans and will help train Watson on financial risk modeling, surveillance, anti-money laundering (AML) and Know Your Customer (KYC); the result will be an artificial intelligence solution that can be implemented for all aspects of compliance, regulation and monitoring; Brian Walter, Watson global industry leader for banking and financial markets at IBM will be speaking at LendIt USA 2017 in a featured keynote discussing how financial firms are using artificial intelligence and how it's expected to evolve. Source
CompareEuropeGroup is a London fintech company using artificial intelligence to develop digital and automated services for financial companies; it has obtained 20 million euros ($21.32 million) in new capital from a Series A funding round; investors included ACE & Company, Pacific Century Group, Nova Founders Capital, SBI Holdings, Mark Pincus and Peter Thiel; the company will use the funds to develop its technology and machine learning services. Source