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get started in africa alliance for ai skip to content twitter facebook instagram linkedin envelope join alliance login donate main menu a4ai menu toggle home about impact careers programs menu toggle newsletter ai clubs startup ai clinic global advocacy inspiration menu toggle 2025 impact report startups user stories ai leaders ted talks articles education menu toggle schools communities what is ai africa context track your progress action menu toggle partner donate start a chapter add success story ora flooring and stairs add training program add leader jointeam practising ai in emerging markets building ai solutions requires a number of basic steps and foundational infrastructure to deploy effectively it is helpful to get a guide on how to acquire these foundational pieces in your country such as power data internet powerful computers steps to deploy ai the path to successfully deploying an ai solution in africa define problem need to properly select problems that can be tackled with data ai using either ml or dl after you ve picked the problem you select between machine learning and deep learning this post does a nice job of explaining the difference between ml dl while below we summarize when you might choose to use either ai vs ml vs dl in africa find data need to find data that is available cheap and in proper format you ll have to capture buy or build millions to hundreds of millions of examples of the behavior you desire after you ve picked the problem you select between machine learning and deep learning this post does a nice job of explaining the difference between ml dl while below we summarize when you might choose to use either open data initiatives search for data on large independent repositories of open data on the african continent africa open data kenya open data nigeria open data egypt open data data from foundations a number of development focused organizations gather data and make them available for public use world bank international monetary fund data africa self generated many startups are getting creative about collecting data they need themselves get inspired by some examples below capture data with mobile phones acquire knowledge once again your local ai communities are your best bet for acquiring knowledge on how to leverage ai below we will list some useful online resources that members of our alliance have recommended slides and videos from deep learning indaba tutorials by deepquestai datacamp tutorials easy tutorials to make you a cloud expert access compute need the right hardware and software that greatly impact time to solution and quality of product to be any competitive broadly speaking you will either buy these to setup in house or rent from the public cloud google colabs directly from your website access powerful enough gpus and compute for free perfect for students learning ai who don t want to spend much money more cluster on prem you are sure of how much load you have have expertise to set it up and ability to provide power security save costs by building your own cluster more cloud compute this is the modern way easy to setup and grow or increase as you want don t need much special skills gets expertise after a long time though more how to choose popular providers where to buy how to choose ai involves working with very large amounts of data it is very important to stay up to date with the best choices for your scenario so you are not wasting resources and are staying competitive purchase running cost choosing the wrong option of hardware or software can have you spending 5 times what you are supposed to spend this can run you out of business very quickly time to solution this is felt both by the developers working and the business people paying imagine spending two months training an ai model when you could have spent 2 days on similar task if you were better informed quality of solution some software and hardware solutions push the edge of what is possible with your ai use case being uninformed can allow your competition build solutions that are miles ahead of yours popular providers today there are many hardware approaches to tackling ai challenges and accompanying software that is compatible with your choice below are the top options so far and links to popular vendor websites cpu intel product page amd product page gpu nvidia product page fpga intel product page tpu google product page where to buy broadly speaking you can either access these compute options on the cloud or with your own compute cluster you buy for your space you can also physically visit centers that rent out compute per hour these are beginning to pop up in several locations around africa cloud computing is the new way of computing and great for these reasons you access tools only when you need them this way you save a lot of money especially if you need just for short time or want to run tests you don t want to spend your time and expertise setting things up from scratch you want easier access to tools and consulting services that make it a lot easier for you to get started global cloud options accessible in africa are aws azure gcp alibaba on prem computing is the older way of computing but still has its merits you know exactly how much computing you want to do so can predict what you need you will utilize what you buy more than 70 you have some restrictions around where your data can live you have some very strong reason for wanting to setup all the infrastructure by yourself and provide the physical security and power to keep it going in africa you can purchase compute this way by working with small and large distributors like lenovo dell ibm and consulting shops like ligadata absolut data technotree tavia technologies bluechip technologies google codelabs are a great alternative for students learning about ai looking for a cheap access to very fast compute they can use through the night happy learning build model there are hundreds of ml dl model types and architectures you can build from scratch for absolute control or with tools that dramatically ease the process deploy solution complete solutions need a willing partner to purchase or distribute it to reach millions many times connection to the right large partners is elusive overtime at a4ai we will work to create mechanisms for top ai project innovators to work with larger organizations to deploy so their solutions realize the visions they are built for learn about ways you can become part of our team either by starting your own chapter or becoming our representative in your city careers stimulating africa s adoption of emerging technologies for development a4ai home about stakeholders our impact careers inspire top africa stories ai companies favorite ted talks learn get started in africa what is ai training programs engage add project add startup add training groups join newsletter blog alliance4ai office s 37 harley street ferndale randburg gauteng 2194 south africa admin 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