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mohammed_ab

Don't Fear the Algorithm: The Risks and Benefits Of Machine Learning in Finance - NextB... - 0 views

  • Machine learning is a critical component of this process, as it allows us to enhance our predictive ability to better identify these qualifying customers. As a result, we are making significant strides towards our goal of creating the world’s leanest and lowest-cost banking infrastructure. This helps our bank partners offer loans at the lowest possible rate, and it helps our customers to achieve higher-yield savings. We’ve proven that our model works. Twelve million customers in Africa and Asia have saved or borrowed on the JUMO platform, and roughly 70% of these customers are micro and small businesses. We’re incredibly proud of our progress so far – but we know there’s more we can do.
  • To test our approach, we looked at Ghana, running new and advanced machine learning algorithms on signals associated with a pool of lending applicants. The goal was to identify combinations of signals — from income size and deposit frequency to mobile phone battery life and mobile wallet transaction patterns — that would serve as more accurate indicators of likely fraud than existing models.
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    This article explains how machine learning is used as a tool to identify potential customers for JUMO. It's quite amazing to see that machine learning take into account things like the battery life of your phone, data usage, mobile money transactions as components to make a lending decision
nourserghini

Financial Technology - FintechDefinition - 0 views

  • New technologies, like machine learning/artificial intelligence, predictive behavioral analytics, and data-driven marketing, will take the guesswork and habit out of financial decisions. "Learning" apps will not only learn the habits of users, often hidden to themselves, but will engage users in learning games to make their automatic, unconscious spending and saving decisions better. Fintech is also a keen adaptor of automated customer service technology, utilizing chatbots to and AI interfaces to assist customers with basic task and also keep down staffing costs. Fintech is also being leveraged to fight fraud by leveraging information about payment history to flag transactions that are outside the norm.
    • nourserghini
       
      Machine learning and artificial intelligence should be implemented in fintechs' platforms.
ayachehbouni

Kenyan Startup FarmDrive Uses Data Analytics to Connect Unbanked Farmers to Financial S... - 0 views

  • In its next phase of algorithm development, FarmDrive seeks to expand the environmental arm of the algorithm by incorporating more alternative data-sets, including satellite imagery and remote sensing data. They are currently engaging with Planet, a satellite company from Silicone Valley, and The Impact Lab, a Chicago-based data analytics firm to analyze the possibilities of using satellite images in predicting a farmer’s creditworthiness.In addition, FarmDrive also plans to use these environmental data-sets, in combination with crop cycle data to predict seasonal yield and influence agricultural insurance products.The startup also uses machine learning in generating the farmer’s profile by learning from the farmer’s input. Data points about the farmer’s behaviour, education level, and their interaction with the app are all analyzed to contribute to the farmers profile score.
    • hibaerrai
       
      FarmDrive employs different advanced methods to predict a client's creditworthiness. They also conduct psychometric tests to figure out their clients' characters. This makes the process professional and the customer base monitored.
  • Smallholder farmers, especially in Kenya face difficulties when it comes to accessing loans and financing from banks and other financial institutions. The agricultural sector is the backbone to Kenya’s economy, yet banks have very little incentive to work with farmers.
    • aminej
       
      FarmDrive use very advanced data analytics to evaluate the credit risk of farmers across Africa in order to help them access investments and funds. They use algorithms developed by their own team which is really good
  • FarmDrive founded in 2014 has built an innovative solution that provides “detailed risk profiles of smallholder farmers to financial institutions”. FarmDrive does this through a credit score, generated by an algorithm developed by the team, in-house. The algorithm relies on data-sets collected from the farmers through their mobile phones, alternative data and machine learning.
    • ayachehbouni
       
      The agricultural sector is crucial to Kenya. Yet, farmers have a very hard time getting loans from banks. Hence, as it helps in this aspect, Farmdrive might as well be saving the backbone of the country.
mbellakbail69

Fawry becomes first Egyptian tech company to achieve USD 1 bn market cap | Enterprise - 0 views

  • STARTUP WATCH- Fawry is officially Egypt’s first unicorn: EGX-listed e-payments firm Fawry became the first Egyptian tech company to hit a market cap of USD 1 bn on Monday after its share price reached intraday highs of EGP 22.69, former managing director Mohamed Okasha announced in a LinkedIn post. Fawry’s share price has increased by more than 300% since it debuted on the EGX last year, a rise that has accelerated in recent months as the use of its payment services skyrocketed during the lockdown.
    • mbellakbail69
       
      To support its quest to understand its customers more deeply, Fawry will soon deploy IBM Watson Machine Learning Accelerator, which includes popular open source deep learning frameworks and efficient artificial intelligence
samielbaqqali

#40Days40FinTechs: JUMO is offering social impact financial products to the unbanked. -... - 0 views

  • They use advanced data science and machine learning to create the fastest and leanest financial services infrastructure, according to Joel Muhumuza, the country manager JUMO Uganda.
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    Rapidity in the digital world is an important detail for businesses to encourage customers.
nourserghini

Swvl's co-founder and former COO is building a fintech to offer commercial credit solut... - 0 views

  • Capiter, according to its website, offers on-demand cash flow solutions to small businesses and vendors, paying vendors immediately for the goods they sell to small business buyers and then collecting payments from the buyers using flexible payment plans. There are not a lot of details on the website but it would be safe to assume that Capiter makes money by charging a fee, interest, or a combination of both from the small businesses using its solutions.
    • aminej
       
      I like this service provided by Capiter because it helps young entrepreneurs and SMEs to maximize their profit. Transactions between supplier and customer happen in a smooth way so that each one is happy. They still have some concerns when it comes to raising money but I'm sure they gonna make it because it is an innovative service that would help a lot of people
    • nourserghini
       
      This article precisely describes how Capiter pays vendors immediately for the sold merchandise and collects small business' payments all while allowing a flexible payment and charging an extra fee or interest.
  • “Capiter’s unique technologies and sophisticated ML models empower businesses to increase their sales, grow their customer base and improve their cash flow,” the startup notes on its LinkedIn page.
    • nourserghini
       
      According to the startup notes, Capiter has a unique and sophisticated machine learning models that help it perform efficiently and increase their cash flows. It would be very interesting to discover the uniqueness of their model.
mohammed_ab

Kenyan insurtech startup Pula raises $6M Series A to derisk smallholder farmers across ... - 1 views

  • Another startup is Apollo Agriculture which raised $6 million Series A, akin to Pula. Not only did the pair raise the same round, Apollo Agriculture and Pula both deal with providing financial resources to smallholder farmers.
    • nourserghini
       
      Apollo Agriculture is another rival in the industry that is also considered as a partner and complement in the industry.
  • Pula is solving this problem by using technology and data. Through its Area Yield Index Insurance product, the insurtech startup leverages machine learning, crop-cut experiments and data points relating to weather patterns and farmer losses, to build products that cater to various risks.But getting farmers on board has never been easy, Goslinga told TechCrunch. According to her, Pula has understood not to sell insurance directly to small-scale farmers, because they can suffer from optimism bias. “Some think a climate disaster wouldn’t hit their farms for a particular season; hence, they don’t ask for insurance initially. But if they witness any of these climate risks during the season, they would want to get insurance, which is counterproductive to Pula,” said the founder in a phone call.
  • Pula, a Kenyan insurtech startup that specialises in digital and agricultural insurance to derisk millions of smallholder farmers across Africa, has closed a Series A investment of $6 million.The round was led by Pan-African early-stage venture capital firm, TLcom Capital, with participation from nonprofit Women’s World Banking. The raise comes after Pula closed $1 million in seed investment from Rocher Participations with support from Accion Venture Lab, Omidyar Network and several angel investors in 2018.
    • aminej
       
      Pula has managed to raise over 6 million $ which is good for them since they will be able to help more farmers get insurance on their products. Keeping in mind that Agricultural insurance costs 4$ in Africa compared to other places where it costs at least 1000$
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  • Agriculture insurance has traditionally relied on farm business. In the U.S. or Europe with typically large farms, an average insurance premium is $1,000. But in Africa, where smallholding or small-scale farms are the norm, the number stands at an average of $4.It is particularly telling that the value of agricultural insurance premiums in Africa represents less than 1% of the world’s total when the continent has 17% of the world’s arable land. 
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    Pula studies the risks that they might find with small scale farmers. I like this kind of behavior because you need to study every possible problem so you can outcome it the best way possible.
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    What got my attention in this article is the disparity in insurance prices (premiums) between European and African countries. We see that the premiums for insurance for African farmers are only 1% the price of insurance for European farmers. This shows the big difference in purchasing power between African and European countries.
sawsanenn

JUMO - Crunchbase Company Profile & Funding - 0 views

  • We use advanced data science and machine learning to create the fastest and leanest financial services infrastructure.
    • ghtazi
       
      Jumo is based on speed to achieve its objectives, which are to create the fastest and leanest financial services infrastructure.
  • Our partners use our technology stack to offer savings, lending and insurance products to entrepreneurs in emergingmarkets.These next-generation products give anyone with a cell phone and mobile wallet access to unprecedented financial choice, enabling millions of people to prosper, build their businesses and drive economic growth.
    • sawsanenn
       
      This excerpt shows the importance of technology in this company. How fascinating we can use our smartphones in a financial way to build and prosper our businesses
mohammed_ab

'Smart' insurance helps poor farmers to cut risk | Financial Times - 1 views

  • The policies or “smart contracts” currently under development are based on blockchain, the distributed ledger technology that underpins cryptocurrencies like bitcoin. This avoids the need for paperwork and means payouts can be triggered automatically when certain conditions are met, such as a specific number of days of drought. The system uses high-resolution satellite images to detect rainfall and plant growth data.Conventional crop insurance is too expensive for more than 500m small farmers worldwide, says Christopher Sheehan, founder and chief executive of US-based WorldCover, which developed the system. “But with machine learning and blockchain technology, we can process these data very cheaply to produce a really simple crop insurance product with premiums of $20 to $50 for a farmer who might only be earning $3,000 a year.” Payments can be made using mobile money transfer services such as M-Pesa.
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    I think that this article highlights the main benefits of blockchain technology on the insurance industry. It shows how blockchain has enabled easy and quick transactions to take place in the insurance world especially crop insurance. This technology has enabled companies like WorldCover to offer cheap insurance contracts for crop farmers to help them hedge against weather risks.
kenza_abdelhaq

Robo-Advisor and its key benefits in Fintech | Top TechCEO's - 1 views

  • Financial planning is the backbone for every type of business to operate efficiently with achieve targeted objective. A single mistake in the financial records or planning can drag the growth of an organization to zero. As a solution, Robo-Advisors serve a digital platform with automated functions backed up with algorithm-driven financial planning services. This digital platform allow to automate the procedure with least or can be said no human supervision. A question might be nudging your mind, “How a digital platform can be able to plan financial operations?” It is a worth question that must be answered before using such a high tech platform.
    • kenzabenessalah
       
      Since EasyEquities is all about investing, it needs to be very secure. Robo-advisors offer a digital platform where all the data is stored . They are a must have because a single, minor mistake from a human being could put the company at great risk.
  • Investing is a boon for an organization or an individual, but hardly people have any idea about investment. So, when they plan to invest their money for a better ROI, the very first solution hit their mind is wealth advisory team. But it makes their work more tedious by adding an interaction with a team and spending team for it. Robo-Advisor has brought a revolution in the finance sector with a new approach of automation. It is a digital assistant that work on various algorithms to manage financial portfolio of clients. It gives an enhanced and secure experience. This is possible with the help of machine learning and artificial intelligence. These tools are no longer confined till chat-bots; rather it has grown in the field of fintech too with a number of finance management aspects, such as automating loan process, data management, wealth management, voice assistance, customized finance advisory, and many more.
    • nouhaila_zaki
       
      This excerpt confirms the need for Robo-advising in fintech start-ups. Robo-advising appears to be a revolution in the financial sector which replaces the regular wealth advisory team that traditional investors are accustomed to. Robo-advising is also cheap and thus could interest our eligible companies.
    • kenza_abdelhaq
       
      Easy Equities company can benefit from the incorporation of roboadvisors in their platform to enhance their customer's experience and further facilitate the investment process.
mehdibella

Fintech for Financial Inclusion & Empowerment | JUMO - 0 views

  • JUMO partnered with Uber to create JUMO Drive, a first-of-its-kind digital vehicle asset finance product for rideshare drivers.
  • JUMO partnered with Telenor and Telenor Microfinance bank to launch the first commercial product in Asia.
  • The first funding partner was introduced to the operating platform. JUMO’s partnership with Letshego Bank in Ghana enabled payment and capital providers to work together to build products.
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  • The use of digital savings, by JUMO in Tanzania and Zambia, grew rapidly.
    • mehdibella
       
      JUMO partnered with Telenor and Telenor Microfinance bank to launch the first commercial product in Asia.
  • JUMO secured another funding round of US$55 million to support market and product expansion.
  • JUMO is powering a new wave of financial tools, enabling hundreds of millions of people to prosper, build their businesses and drive economic growth
  • JUMO was founded in London by Andrew Watkins-Ball, with a vision of reimagining finance in emerging markets. The founding team started working to prove that data can be used to predict the financial behaviour of millions of people without access to finance. Credit risk, engineering and other capabilities were developed with industry-leading talent. The first ecosystem partnerships were established with Tigo, Airtel and MTN to bring short-term loan products to people and small businesses in Kenya, Zambia and Uganda.
    • ghtazi
       
      JUMO is a British company founded by Andrew Watkins- Ball, and its vision is to reimagine finance in emerging markets. the goal of this company is to show that Data can be used to forecast millions of people's financial activity without access to finance.
    • nouhaila_zaki
       
      This excerpt is really great at introducing Jumo, its initial partnerships, the products/services offered by Jumo.
  • Timiza Akiba, a JUMO-powered savings product, grew 30% in 3 months despite COVID conditions.
    • nouhaila_zaki
       
      This excerpt reports on the impressive performance of Timiza Akima, a Jumo product, despite covid-19 conditions, which reflects the company's resilience despite the pandemic.
  • A funding round of $52m USD was closed. The round was led by Goldman Sachs, with participation from Proparco, FinnFund, Vostok Emerging Finance, Gemcorp Capital, and LeapFrog Investments. A further $12.5m USD was secured from Odey Asset Management.
    • nouhaila_zaki
       
      This excerpt is important because it reports on how Jumo obtains financing for its operations from external sources i.e. Odey Asset Management.
  • Fast Company SA named JUMO one of the most innovative companies owing to advanced data science and Machine Learning capabilities.
    • sawsanenn
       
      Jumo is powering new waves of financial tools that can help entrepreneurs to build and grow their business
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    Parentships always help a business to improve and grow. Jumo is expanding its service to satisfy everyone.
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    At the beginning Jumo started by a founding team that was mainly working in order to prove that data are essentials and that they can predict the future financial behaviour of millions of people that originally didn't have access to finance. So, Jumo's main asset can be considered to be its data analysis that forecasts financial behaviours.
chaimaa-rachid

Food for thought - Crop Insurance Gets a Makeover - 2 views

  • Despite the technology underpinning WorldCover being really quite complicated (blockchain technology and machine learning), their product is amazingly simple; a crucial quality when doing business in rural areas where literacy levels are extremely poor. Essentially WorldCover is able to cut through the notoriously bureaucratic insurance claim system by ensuring insurance payments are automatically triggered once certain conditions are met, therefore increasing efficiency and eliminating fraudulent requests.
  • WorldCover is capable of providing premiums at a comparatively low-cost, which, like simplicity, is an essential part of their business model.
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    Worldcover has developed smart contracts using blockchain with the purpose of simplifying the process of insurance.
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    I like the idea of creating smart contracts utilizing blockchain. World Cover has done a good job as it will facilitate the cycle of protection.
mohammed_ab

AI and Machine Learning in Fintech. Five Areas Which Artificial Intelligence Is Changin... - 0 views

  • There is a saying among corporate bankers “You only get credit if you don’t need it”. Translated into business terms: there were underserved customers, ignored by traditional financial industry, who couldn’t apply for a loan or credit. And that helped a lot of fintech startups, the likes of Finiata (Netguru is proud to be a partner here) or Lenddo, to put their foot in the door.
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    Artificial intelligence could help M-Pesa to target a new segment which is loans and microfinance. It will help make a credit rating for these customers in a quick and cost-effective way.
samielbaqqali

SA fintech JUMO selected to join second cohort of Google Launchpad Studio - Ventureburn - 0 views

  • SA fintech JUMO selected to join second cohort of Google Launchpad Studio - Ventureburn
    • samielbaqqali
       
      The success of Jumo has gotten so big thyat they started to get selected with some multinationals like Google
  • Established in 2017, Launchpad Studio is a fully-tailored product development acceleration programme that gives selected startups the unique opportunity to work hand-in-hand with Google’s artificial intelligence (AI) and machine-learning (ML) research and development teams, with access to seasoned experts and mentors from Google and Silicon Valley.
mohammed_ab

The Complex Insurance Coverage Reporter - September 2020 - The Complex Insurance Covera... - 0 views

  • Over the last decade, there has been a global increase in the focus on climate change and the risks and dangers associated with it. And for good reason. Damage from climate-related disasters was in the billions of dollars in 2019 alone. California wildfires caused $25 billion in property damage, while Typhoon Hagibis in Japan cost an estimated $15 billion. Other extreme weather events, including rampant brush fires in Australia, widespread droughts in East Africa and severe flooding in South Asia, have had devastating consequences.
  • Like Kin, NYC-based WorldCover was created in response to climate-related disasters. It works to provide drought insurance to farmers in Africa. When first launched, WorldCover was available only in Ghana and covered only one crop: maize. Since then, the company has expanded to multiple markets in East and West Africa, covering four categories of crops: cereals, legumes, root vegetables and perennials. WorldCover uses a combination of satellite imagery and on-the-ground sensors to understand local weather patterns in order to create insurance options for farmers facing some of the world’s worst droughts. The company uses its satellites to monitor rainfall patterns and trigger payouts immediately.
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    I think that the testing phase of WorldCover was very smart. World Cover started offering micro-insurance for only one type of crop which is maize. After a great success with this type of crop, the company started to broaden its coverage to other types of crops and to other markets like East and West Africa. The company uses machine learning and satellite imagery to analyze the weather and the land of the farmers which in my opinion helps the company in being very accurate and efficient.
tahaemsd

FarmDrive - 0 views

  • FarmDrive collects and aggregates alternative datasets from multiple sources, in Kenya and around the world, to build credit scores for smallholder farmers in Africa.
    • tahaemsd
       
      The datasets are analyzed by the machine learning algorithm to produce relevant credit scores for smallholder farmers
tahaemsd

Technology | WorldCover Insurance - 0 views

  • WorldCover pairs long term remote weather data with the latest satellite technology, making complex actuarial calculations into simple policy term sheets.Our technology combines machine learning with agronomy, compares multiple data sources and forecasts to give you the most targeted and accurate insurance possible.
    • tahaemsd
       
      Weather insurancce powered by satellite data
mehdibella

FarmDrive - 0 views

  • FarmDrive’s alternative credit risk assessment model is providing financial institutions with an agriculturally relevant and data-driven model to assess risk and develop loans that fit the needs of smallholder farmers. Not only will this solution unlock millions of dollars of previously risk-averse capital for smallholder farmers, it will improve the livelihoods of entire communities, thereby alleviating poverty, hunger, and inequalities.
    • sawsanenn
       
      FarmDrive overlaps our focus areas of agriculture and financial inclusion, empowering the world's most vulnerable farmers with the digital financial services they need to strengthen and improve their livelihoods. FarmDrive connected to various partners and expertise to help them scale, as its usage increases in other developing markets in sub-Saharan Africa.
  • Nearly 50 million smallholder farmers in Africa are struggling to support their families and communities through agri-business because less than 10% have their economic needs met by the financial sector. Without access to credit, they remain unable to purchase quality inputs, make productive investments, and improve their production and harvests.
    • sawsanenn
       
      While financial inclusion in the country has increased, many farmers remain excluded. Limited financing for farmers is due, in part, to a lack of available credible risk-assessment information for financial institutions.
  • FarmDrive’s alternative credit risk assessment model is providing financial institutions with an agriculturally relevant and data-driven model to assess risk and develop loans that fit the needs of smallholder farmers. Not only will this solution unlock millions of dollars of previously risk-averse capital for smallholder farmers, it will improve the livelihoods of entire communities, thereby alleviating poverty, hunger, and inequalities.
    • aminej
       
      FarmDrive helps small holder farmers get access to credit and funding in order to develop more and improve their capabilities and ressources. They also offer another service that consist of giving a score to each farmer according to his credits which is a good way to evaluate each one and to include more people that are unbanked.
  • ...2 more annotations...
  • FarmDrive uses mobile phones, alternative data, and machine learning to close the critical data gap that prevents financial institutions from lending to creditworthy smallholder farmers.
  • $450 Billion Financing Gap Agriculture employs 65% of Africa’s population and makes up 32% of its GDP. However, less than 1% of bank lending in Africa goes to agriculture. In absence of accurate and cost-effective methods for assessing small-scale agricultural lending risk, financial institutions choose not to lend to smallholder farmers, thereby contributing to the $450 billion global agriculture financing gap.
    • mehdibella
       
      Not only will this solution unlock millions of dollars of previously risk-averse capital for smallholder farmers, it will improve the livelihoods of entire communities as the GDPR is maiinly based on agriculture these similar technologies help push it over the limit.
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    This excerpt is important because FarmDrive tries to gather all data needed to create loans that suit farmers situations.
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