Companies in Nairobi
Nairobi's tech sector is transforming Kenya. IT services contribute 1.1% to the country's GDP and are expected to reach 7% by 2030. The city hosts 97% of Kenya’s startups, which raised $1.1 billion in 2023, a 33% increase from the previous year. Nairobi, Kenya's capital, has emerged as one of the top cities for startup investments, climbing 24 spots to rank 113 globally. According to Glassdoor, software developers in the city earn between $458 and $1,637. This affordability attracts global firms such as Asus, Cisco, Intel, IBM, and Huawei. Despite its successes, Nairobi faces challenges, including limited funding and complex regulations. However, the government’s Digital Kenya 2030 plan aims to tackle these issues by strengthening the digital economy and creating a supportive environment for tech growth.
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Nairobi, Kenya
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Nairobi, Kenya
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Nairobi, Kenya
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Our Take
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What is Machine Learning and what are its benefits for your projects?
Machine Learning is a branch of artificial intelligence, that uses data and algorithms in order to imitate human intelligence. It's like teaching computers to learn from examples and once the computer learns, it can help with all sorts of tasks, like:
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Classifying data into different categories: spam or ham/ healthy or unhealthy etc.
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Predicting outcomes, predicting future events, such as product demand, or financial risk.
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Recommending products or services to customers based on their past behavior or preferences.
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Optimizing processes, such as supply chain management or customer service.
Machine learning is part of many AI applications such as recommendation systems, spam filtering, image recognition, natural language processing, and fraud detection.
According to a recent report by Gartner, the global market for machine learning is expected to reach $119.5 billion by 2024. This growth is being driven by the increasing adoption of machine learning in a wide range of industries, including healthcare, finance, retail, and manufacturing.
Who provides machine learning services?
As we see, machine learning is a complex field and we know that a variety of professionals are involved. Here are a few of them:
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Machine learning engineers who develop and deploy machine learning algorithms.
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Data scientists who collect, clean, and analyze data for machine learning applications.
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AI consultants that help businesses adopt machine learning technologies.
We invite you to discover which are the best ML companies in 2023 on our blog and find the best ML service providers on Techbehemoths using the filter or submitting your project and we will help to choose your perfect match. There are more than 530 companies that provide machine learning solutions.
Also, we invite you to read how AI and Machine Learning are revolutionizing the written word and what is the role of machine learning in smart city life.