Blog post

Six Steps to an Intelligent AI Strategy: The AI Readiness Toolkit

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Are you a startup seeking to prepare yourself for artificial intelligence (AI), but don’t yet have a concrete strategy in place? Perhaps you are a well-established data-centric organization that wants to assess return on investment and areas of strength and weakness. Or you are an investor looking for a way to quantitatively assess your portfolio. Catalyst Fund’s new AI Readiness Toolkit can help you.

BFA is determined to de-hype AI and bring it into practical terms so that more startups can benefit from its power. To this end, we have developed the AI Readiness Toolkit to guide startups to approaching AI in a systematic way. This toolkit builds on BFA’s “AI: Practical Superpowers” Report, which gives startups a high-level readiness framework to orient on the step to take towards “Practical AI”.

Continue reading here.


Early insights on incentivizing Indian customers to go cashless

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Early this year, Amitabh Kant, CEO of the National Institution for Transforming India (Niti Aayog), declared “Cards, ATMs, POS will all become redundant in India by 2020, and India will make this jump because every Indian will be doing his transaction just by using his thumb in thirty seconds….”Although evidence indicates that demonetization has moved India towards a digital economy, there is still much work to do before Kant’s vision becomes a reality. Read insights on going cashless.

The AI-Driven Bank in Emerging Markets

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Article written by David del Ser and Alexandre Lazarow

If you think artificial intelligence is a thing of the future, ask yourself why your Amazon homepage looks different from ours or how Google translates websites on the fly. Consumers in developed and developing countries are benefiting today from these smarter types of software. In particular, the subfield of Machine Learning is making rapid strides in everything from detecting rare types of cancer to correcting our grammar. In essence, software development is transitioning from a process where humans figure out a few rules for the machines, to one where the machines learn the many implicit rules from the existing data. Continue reading.

What is the Investment Climate for Fintech in Emerging Markets?

A positive outlook according to our investor network

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We recently had the opportunity to survey the Catalyst Fund Circle of Investors, which connects our startups to a wider group of investors and also acts as a channel for sharing our insights about the investment climate for fintech in emerging markets. The Circle of Investors are optimistic about funding for inclusive fintech. Results of the survey provide insights into what investors think about inclusive fintech, investments and emerging markets. Read more

Originally published on the SOCAP blog on August 22, 2017.

Register for SOCAP17 to attend the Inclusive Fintech Sessions and learn more.

Catalyst Fund and JPMorgan Chase & Co. are sponsoring the Inclusive Fintech Track at SOCAP17

 

Racing into Machine Learning: Data Readiness and the Developing World

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While machine learning has become more widespread and has been applied across different industries, few organizations have the adequate expertise to utilize the technology properly. Before jumping into a #machine learning investment, stop and consider your data and how a strong data foundation should be used to inform the insights from machine learning. Read about #datareadiness to start off on the right foot. 

How can fintech startups engender trust and best leverage AI and ML for the next generation of financial products?

Catalyst Fund’s new cohort of inclusive fintech startups spans the globe and pushes the boundaries of innovation in sectors as diverse as mobile money, agriculture and insurtech. As Catalyst Fund investees, these impact makers receive grant funding and tailored and hands-on technical advice. In turn, the startups also help us learn about three main questions:

  1. How can digital financial services be more customized, convenient and accessible than traditional offerings?
  2. How can formidable barriers to inclusion be overcome?
  3. How can investors, donors, and advisors best catalyze successful and innovative models?

Read more...