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IoT and AI Summit

Localizing Artificial Intelligence, Internet of Things to solve problems in Africa – IoT and AI Summit

Let's think differently and use IoT to solve local problems says Jack Ngaare, MD of Microsoft Africa Development Center, Kenya site. He was sharing insights on Artificial Intelligence(AI) and Internet of Things(IoT) during keynote address at the third East Africa IoT and AI Summit. Speaking to delegates at the

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Wazihub

Wazihub, Microsoft, Zindi, Soil Moisture Prediction Challenge

Help rural farmers in Africa predict soil humidity using sensor data from IoT. Wazihub and Microsoft are partnering with Zindi Africa to create the Wazihub Soil Moisture Prediction Challenge competition. The competition seeks to create a machine learning model capable of predicting soil humidity. Using past data from the soil and

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mobile digital kiosk

A solar powered mobile digital kiosk that empowers women across Rwanda

In Rwanda Microsoft is supporting African Renewable Energy Distributor (ARED), a technology for social good company. That provides a one stop shop - mobile digital kiosk - platform offering digital services and connectivity to customers in Rwanda. ARED CEO, Henri Nyakarundi says "our solar kiosk platform revolutionizes the way

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Engineers Hack 2019

The Engineers Hack 2019: Hacking solutions to local challenges #EngineersHack19

Microsoft Tech Community and Microsoft Student Partners invites students to participate in a hackathon event. Labelled the Engineers Hack 2019. A 36-hour hackathon event opened to students of all institutions of higher education in Kenya. The Engineers Hack will bring students together under one roof to build solutions to local

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farmbeats

Using AI, Edge, IoT for Agriculture, Microsoft FarmBeats addresses the challenges of farmers in Africa, starting in Kenya

An area of focus in Microsoft's research is Agriculture. Microsoft research scientists are focusing on unleashing the future of agriculture using data driven techniques called precision farming. The process involves using broadband connectivity through TV whitespaces, connected to IoT sensors that enable data driven farming. These data when collected over

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