Mind and Machine Africa: Unlocking the potential of AI in Africa.

Episode 4, is all about the tools we use daily. The various AI tools that have become embedded in our work and life. joined by Nick Gert a Senior UI/UX Designer at TIBU Health. We explore the AI tools that he finds now essential to his work, the tools we would be interested in seeing in the future. some of the tools discussed included Firefly, ChatGPT, Co-pilot and more.

In Episode 3, we are joined by Njaramba Wanjau a marketer and data scientist from Safaricom as we discuss how marketing has evolved through advancements of technology. Is AI a silver bullet for marketers or is it a nail in their coffin. We discuss concerns around how much data is necessary for marketers and any AI model they might be training or using. A glimpse into the future of content where AI is making content faster than people and at a rate that people can consume it in the age of instant gratification. Will my views of the impact of AI change after the discussion?

In Episode 2, the discussion centers on the national role governments play in developing an AI strategy for countries to use. Joined by John Walubengo a professor at Multimedia University of Kenya and a member of the task force on AI & blockchain and the taskforce on data protection. He shares his experience and knowledge on AI at a national level. Governments in Africa need to adopt strong strategies on how AI will be leveraged both in public sector and private sector, as well as providing protection to citizens and their data. The strategies include frameworks, policies, legislation and regulations. AI is a technology we can not simply import and begin to use without having the proper structures in place to safeguard the country.

On our first episode we speak to Peter Kanda the CIO at Gertrude's Children's Hospital about their use of AI to improve health care, diagnosis and reduce errors. We also speak on some of the challenges and opportunities for Africa to build its own AI path for better quality healthcare and the challenges that are being faced and the challenges up ahead for the adoption of AI into the Healthcare Industry.

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