State of Africa Artificial Intelliegnce -Part 2
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The document summarizes survey findings on the state of artificial intelligence in Africa. It finds that most African AI scientists use CPUs rather than GPUs, and work on image classification problems. The majority are employed in small companies and analyze data to influence business decisions. Word embedding is a popular natural language processing area. African AI experience skews more heavily toward coding than machine learning. Google Cloud is the most commonly used cloud service provider.
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State of Africa Artificial Intelliegnce -Part 2
- 1. v 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Computer Vision Areas Natural Language Processing Areas Image Segmentation Image Classification 29 17 17 16 12 8 GAN None Object Detection General Purpose Word Embedding Encoder Decoder None Transformer Language Contextualized Embedding37 23 16 15 3 Compute Engine Preference 66% 29% 4% 1% CPU GPU TPU Others 31-4011-20 21-300-10 Income versus Job Title percent percent 0-49 50-249 250-999 Company Employee Size 1k-10k 10k+45 17 12 14 8 v Coding Versus Machine Learning Experience 1 1-2 2-3 3-4 4-5 5-10 10-15 1 88 9 1 0 0 0 0 1-2 34 53 8 3 1 1 0 3-5 29 22 25 12 10 3 0 5-10 16 16 7 11 20 25 5 10-20 8 23 15 0 8 8 38 20+ 33 25 8 8 17 0 8 Machine Learning years CodingYears Job Roles Analyze data to influence business decisions Build prototypes to apply machine learning(ML) Manage data infrastructure Expe-iteration to improve existing ML models Manage ML service to improves workflows Do research that advances the art of ML Others 29 18 14 14 13 10 2 22 21 17 1 1 1 3 3 2 2 14 14 Google None AWS Microsoft IBM VMWare Oracle RedHat SAP Other Alibaba Salesforce Cloud Service Provider
- 2. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Compute Engine Preference 66% 29% 4% 1% CPU GPU TPU Others Compute Engine Preference of African AI Scientists Majority of African AI Scientists use CPU as their compute engine. Approximately 1 out of every three Africa AI scientists use GPU. Low proportion of Africa AI scientists use other compute engine including TPU
- 3. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Compute Vision Areas of African AI Scientists Image classification is the major computer vision(CV) project of the African AI practioners. The numbers are in percentage. The irrelevant categories have been removed. They use CV for image segmentation , general purpose, object detection and GAN. Around 1 out of 10 of them are not doing CV.
- 4. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Job Title of African AI Specialists Versus their Annual Income Most African AI specialists are in the low Annual income bracket (<1k) expect those working as Database Manager and Project Manager Those working as Data Engineer and Business Analyst earn more annually. The numbers are in percentage. The irrelevant categories have been removed.
- 5. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 The Company Size of African AI Practioners More than half of African AI practioners work for small and medium size companies i.e. 0 to 249 employees The remainder are employed large enterprises with more than 249 workers Company Employee Size The numbers are in percentage. The irrelevant categories have been removed.
- 6. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Natural Language Processing Areas of African AI Professionals AI ScientistsWord embedding aspect of Natural Language Processing(NLP) is popular among the African AI professionals They build more of Encoder-Decoder NLP models than Transformer language models They do less of Contextualized Embedding NLP modelThe numbers are in percentage. The irrelevant categories have been removed.
- 7. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Coding Versus Machine Learning Experience of African AI Scientists The number of years that African AI Scientists spent in coding is not proportionate to the number of years they spent in in doing Machine Learning (ML). NB: The numbers are in percentage Those with 10-20 years of coding rather 20+ years has the highest proportion of scientists with 10-15 years of ML.
- 8. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 African AI Practioners job description The number one job among African AI practioners is to Analyze data to influence business decisions A number of them build prototypes to apply machine learning(ML) and manage data infrastructure Job Roles The numbers are in percentage. The irrelevant categories have been removed. Others work on improving the existing ML models.
- 9. 2019 State of Artificial Intelligence in Africa…. based on Kaggle Survey Part 2 Cloud Service Provider Preference of Africa AI Workers Africa AI workers prefer google cloud service provider (CSP) to other CSP. NB: The numbers are in percentage Google, AWS, Microsoft and IBM constitute top CSPs that they patronise Cloud Service Provider A Relatively high proportion of them work on their local system rather than the cloud.
- 10. State of Artificial Intelligence in Africa …. Stay tuned