Job Posting 2.0 - KaziQuest Software


How different is KaziQuest system to other Job Search apps? Job searching in Kenya and in the world, in general, has taken a more technological angle. The better a system is able to use machine learning and artificial intelligent the better it is for its users to narrow down into the specific needs for their search. We have partnered with Google, using Google's expertise in machine learning to provide faster, more relevant results for workers looking for jobs on It is a two way, a win-win situation for both the job seeker and the employer.

How I Got Started In Machine Learning


My first look at Python was deliberate as I was following advice to learn the language from my mentor. Within a few hours of doing a deep dive into the language i got hooked and felt that the language was made for me. I made a decision that i would make Python my main language and put in all the work to understand it.My main resource when it came to Python Programming was Python's Documentation which i would advice any newbie to use.After months of intensive coding,I really good at Python that my friends and lecturers noticed, i familiarized myself with Python's frameworks;Django and Flask but i felt that this wasn't enough to make me a Python Guru.At this moment,I desperately needed to be good at Python. Oops,I stepped on Machine learning…. It was the beginning of a new semester,as part of our school curriculum we had to have project ideas for our third year.

7 Windows 10 fixes you'll wish you knew sooner

FOX News

File photo - A Microsoft delegate takes a picture during the launch of the Windows 10 operating system in Kenya's capital Nairobi, July 29, 2015. Some users love it while others hate it. Some experts estimate that Windows 10 dominates nearly 40 percent of the desktop OS market, handily surpassing the popularity of Windows 7. Speaking of, are you still using Windows 7? Microsoft is ending support for the 10-year-old operating system in January. Tap or click to learn how to bring your PC up to date before it's too late. Using the slogan "upgrade your world," Microsoft has described Windows 10 as the "final" version.

World's first AI health app in Swahili launches to tackle doctor shortages


An innovative chat-bot that helps patients and doctors diagnose diseases ranging from malaria to diabetes has become the first health app to launch in Swahili. Developed by Ada Health, the app relies on artificial intelligence, large medical databases and personalised responses to assess an individual's symptoms, suggest a cause and recommend the next stage of treatment. The smartphone chat-bot is already used by roughly eight million people in more than 130 countries across the globe – published in languages including English, French and Spanish. But it has now become the first AI health application to launch in Swahili, a language spoken by almost 100 million people across East Africa – predominantly in Tanzania, Uganda and Kenya. According to Hila Azadzoy, the managing director of Ada's global health initiative, the expansion will help tackle a shortage of doctors and nurses in the region, where countries have fewer than one physician per 1,000 people on average.

Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda


Between 2013-2017, 75% of residents in 16 communities in the SEARCH Study tested annually for HIV. In this population, we evaluated three strategies for using demographic factors to predict the one-year risk of HIV seroconversion: (1) membership in 1 known "Risk Group" (e.g., young woman or HIV-infected spouse); (2) a "Model-based" risk score constructed with logistic regression; (3) a "Machine Learning" risk score constructed with the Super Learner algorithm. We hypothesized Machine Learning would identify high-risk individuals more efficiently (fewer persons targeted for a fixed sensitivity) and with higher sensitivity (for a fixed number of persons targeted) than either other approach.

Capgemini announces Project FARM an intelligent data platform that aims to help small scale farmers in Kenya resolve the global food shortage


Paris, October 02, 2019 – Capgemini has developed an intelligent data platform called Project FARM (Financial and Agricultural Recommendation Models), which is designed to optimize the agricultural value chain and bolster global food supply. The platform uses Artificial Intelligence (AI) to determine farming patterns through big data, generating insights from the data to make recommendations. It uses Machine Learning to make the platform applicable at scale by connecting it with cell phones. This solution has been built in collaboration with Agrics, a social enterprise operating in East Africa, which provides local farmers with agricultural products and services on credit. Global demand for food is anticipated to increase by 60% by 2050[1].

Machine Learning Engineer in London - WeFarm


We are a unique social enterprise providing a vital service for the world's 500 million smallholder farmers who live and work without internet access. This pioneering, peer-to-peer platform enables farmers to access crowdsourced information by SMS, creating social impact on a groundbreaking scale and generating a game-changing data feed through the use of cutting edge AI techniques. In just one year WeFarm has scaled to more than 72,000 farmers across Kenya, Uganda and Peru, has facilitated over 11.5 million interactions and featured in the FT, Forbes,, as well as winning awards from Google's Impact Challenge, The Venture and the European Commission's Ideas From Europe. Would you like to change the world and create social impact on a global scale? Do you want every LOC you write to save livelihoods?

Kenyan insurers utilizing artificial intelligence to curb fraud cases


Insurers are now utilizing artificial intelligence to curb fraud cases in their motor insurance claim processes. Deloitte's Insurance Outlook Report 2019/2020 East Africa showed that while motor private and medical business classes are the largest classes, they are also among the most loss-making businesses. The report urges insurers to explore other emerging business classes that have a potential for growth to diversify their business mix. With over 25% of Kenya's insurance industry income fraudulently claimed, Kenindia Assurance is one of the insures who have taken steps to curb the fraud. Kenindia Assurance, Deputy General Manager Joyce Mathenge says that motor insurance is the main contributor to insurance fraud and hence the need to develop mechanisms to lower their risks.

5G technology to drive Konza City development -


Is Kenya ready for five 5G network? With Asia and other continents of the world taking steps to become a global leader in 5G and the Advanced Intelligence (AI) technology, Kenya will be ranked one of the first East African countries to tap into this, with the completion of the Data Centre by Huawei in Konza Smart City. This would help to revolutionize several industries, including manufacturing, agriculture, transport, health sector, making factory automation, as well as communication between self-driving vehicles to regulate traffic. According to Ms Pamela Tutui, a director at Konza Technopolis Development Authority (KoTDA), Kenya is set to borrow ideas from a campus in China's Shenzhen City to lift Konza Smart City to a technology hub in Africa. "Smart cities is bringing solutions to a city that is not smart. Like in Nairobi what is stopping us from having street lights, from looking at our road networks and to go beyond just taxis and looking into our busing lanes," says Ann Theresse Jatta Ndong – Director UNESCO regional Eastern Africa.

Capgemini Turns to AI to Fix Food Supply Chain Sustainability - NextBillion


Called FARM (Financial and Agricultural Recommendation Models) and delivered in partnership with social enterprise Agrics, the project is providing more than 200,000 small-scale farmers in Kenya with the hardware and software they need to analyse big data regarding issues such as weather patterns and soil quality. The platform uses AI to "intelligently" collect and process the data, before providing the user with personalised insights and recommendations to optimise crop yield and eliminate inefficiencies. In sustainability terms, results of acting on the recommendations are likely to be better water management, the use of less fertiliser, the generation of less food waste throughout the value chain and improved incomes for farmers.