Ai Kenya podcast

It is estimated that 2.3 trillion gigabytes of data are created each day and the amount of new technical information is doubling every two years, with 43 trillion gigabytes of data expected to be created by 2020. How can organizations then leverage data science and machine learning to gain insights and solve problems from the data they generate? In our third Ai Kenya podcast episode recorded in October 2018, we talk to Celina Lee from Zindi, a company based in South Africa that is crowdsourcing data science and machine learning solutions to African problems. We get to discuss how Zindi works, the competitions it has hosted so far and the steps organizations can undertake to get their problems solved on the platform. Visit the Zindi website on http://zindi.africa/ to check out past and current competitions being hosted on the platform. #AiKenya #AiKenyaPodcast #Zindi #DataScience

Our first episode features Ally Salim Jnr and Megan Allen, two co-founders who are working on Dr. Elsa, an artificial intelligence powered digital assistant for healthcare workers in Tanzania. In the first part of this episode, we get to know Ally Salim Jnr and Megan Allen and how they started working on their health worker assistant solution that utilizes Ai to assist in the diagnosis of diseases. We talk about what Dr. Elsa is more in-depth, how Inspired ideas views artificial intelligence and how health workers interact with Dr. Elsa. We also get to touch on what artificial intelligence techniques powers Dr. Elsa, the different ways Ai is being used in the medical sector, why they decided to apply neural networks in the diagnosis and their encounters with regulation and policy. Listen to part two of this episode to hear more on the scientific paper written by Ally and the challenges faced in building and testing Dr Elsa with users.

In the second part of the podcast we get to discuss what challenges Ally and Megan faced while working on Dr. Elsa. We also delve into understanding the scientific paper written by Ally titled 'Synthetic patient generation: Deep learning to generate new patient records' which was recently posted on Arxiv. They also share their advice to other startups that are trying to get into the Ai Space. Read Ally’s paper, Synthetic patient generation on https://arxiv.org/abs/1808.06444. To follow Inspired ideas work, view their website on http://inspiredideas.io/ Follow Dr. Elsa on Twitter (https://twitter.com/doctor_elsa)

Work is changing due to automation and artificial intelligence, but it’s not going away. How will we make a living when machines are cheaper, faster and smarter than we are — machines that don’t take breaks or vacations, don’t get sick and don’t care about chatting with their colleagues about last night’s game? In our second Ai Kenya podcast episode recorded in September 2018, we are joined by Mike Cook , Senior Manager, Center for the future of work at Cognizant Technology Solutions. We discuss Cognizant’s view on how artificial intelligence will affect the future of work as per their two publications: "What to do when machines do everything" & “21 jobs of the Future”. We also touch on regulation in artificial intelligence worldwide and penetration of artificial intelligence in Kenya and Africa as a whole. Read “What to do when machines do everything “ on https://www.cognizant.com/when-machines-do-everything Read “21 jobs of the Future” publication by Cognizant on: https://www.cognizant.com/perspectives/21-jobs-of-the-future Watch 21 more jobs of the future by Cognizant on: https://youtu.be/njwHmeYyfSc Follow Mike Cook on Twitter on https://twitter.com/MikeMarkC #AiKenya #AiKenyaPodcast #FutureofWork #Cognizant