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Flowcast

1355 Market Street, 3rd Floor, San Francisco, United States
Bank/financial institution

Description

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Flowcast Flowcast optimizes cash flow using data science. We empower finance organizations with new ways to reduce cash conversion cycle, optimize credit/collections efforts, and enhance cash flow forecasting. Our advanced analytics solution can find patterns in customer and supplier behaviors from structured and unstructured data that can unlock true cash opportunities.

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Flowcast

Flowcast
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FinTech, Brand & Retail, Materials EXPO 2016

See us pitch at @plugandplaytc next week on 10/27 at #EXPO for our #FinTech Demo Day! RSVP: https://www.eventbrite.com/e/fintech-brand-retail-materials-expo-2016-tickets-26758902598?aff=Twit

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We are excited to announce James McGuire as our new Senior Data Scientist. Jim has a PhD in Physics from UCSD. He also has vast experience in predictive analytics and machine learning, having worked at companies like ZestFinance and Experian. At ZestFinance, Jim ran the Data Science team and helped forge strategic partnerships with external clients, such as JD.com. Welcome to the team Jim!

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Flowcast featured in Risk.net

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Interview with Flowcast CTO: AI / Machine Learning in Fintech

Awesome interview from our very own CTO Winnie Cheng, sharing her experience and insights around AI/machine learning in Fintech and why we started Flowcast.

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Flowcast

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Surprise accelerator tops study of where best-funded startups graduate from - Silicon Valley...

We are proud of being part of the Alchemist, ranking No.1 accelerator according to CB Insights! "Startups that go through the San Francisco accelerator led by Ravi Belani raise a median of $8.1 million in funding and about 32 percent of them get follow-on investments." http://www.bizjournals.com/sanjose/blog/techflash/2016/07/surprise-accelerator-tops-study-of-where-best.html

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Flowcast's cover photo

Flowcast's cover photo
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How different do enterprises hiring the professional team of data science from using the traditional database personnel? While traditional way only gets 9% feedback on several efficiency improvements, new method acquires more than 50% satisfaction according to Accenture. Comparing to the expensive investment in big data analysis, outsourcing would be a win-win solution. Source: https://acnprod.accenture.com/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_2/Accenture-Global-Operations-Megatrends-Study-Big-Data-Analytics.pdf

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Who would be your future enterprise customers? Come to learn more about the "Generation D" https://www.linkedin.com/pulse/gen-d-what-know-your-future-enterprise-customers-ken-so

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Come visit us at the Startup Village Next Bank

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nbsv16

Come by our booth. Flowcast @ NextBank. See how we are redefining Trade Finance.

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Quiz

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