AI Nights with IndabaX | Oct 2021

DataProphet is excited to be taking our AI Nights live on October 15th with Indaba𝕏, South Africa. This collaboration means our popular deep learning event is part of a Roadshow comprising South Africa’s top machine learning (ML) labs. For anyone interested in recent innovations of machine learning and a professional look at how AI is revolutionizing multiple industries, this is a great chance to hear wisdom from practitioners in the field.

Data scientists draw from a conceptual toolkit of linear regression, association rule mining, Q-learning, and other algorithms to build their AI systems for diverse industries and real-world applications. Applied AI is where Science, Technology, Engineering, and Mathematics (STEM) professionalism meets entrepreneurship.

The Indaba𝕏 Roadshow underscores the cross-disciplinary, multisector collaboration that galvanizes AI solutions for industry. The aim of Indaba𝕏’s Roadshow is to raise contextualized ML awareness in South Africa. It draws attention to the current, remarkable industry contributions to the burgeoning field of Artificial Intelligence.

According to Indaba𝕏, it will also be an opportunity for aspiring AI professionals to ask burning questions—for example, “What do I need to study to become a machine learning expert?” Whether it is to do with GPU accelerated computing, multiagent reinforcement learning, health data analysis, or concrete business deployments, the Indaba𝕏 Roadshow is sure to offer value for anyone with an eye on how technology is shaping the world we inhabit. DataProphet is a world-leading AI-as-a-Service company that applies its novel, unsupervised deep learning models to drive manufacturing process optimization worldwide.

AI Nights is an opportunity for two of our data scientists (and two guest speakers) to report from the proverbial coal face. Each DataProphet expert has chosen to share insights, and practical tips with you on a machine learning topic they feel is relevant and inspiring. Previous AI Nights topics included Categorical Encoding Techniques, best practices for rendering your ML-model-driven applications user-ready, Kalman Filtering, optimizing inference speed with NVIDIA’s TensorRT package, and ethics in AI. We look forward to seeing you at the event!




Webinar Start Time:

October 15th, 2021 14:00 GMT+2




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Dr. Paul Amayo

Dr. Paul Amayo is an engineer lecturing at UCT who believes contextually grounded technology is key to solving some of the world's most pressing problems. He values the social dimension of technological advancement via education to ensure it benefits communities. Paul's research focuses on autonomous vehicles and examines the fundamental issues impeding the large-scale development and deployment of autonomous mobility solutions in Africa.

Marais Neethling

Marais Neethling obtained a Master's in Computer Science focused on computational intelligence before deep learning was popular. From the start, tinkering with computers made him wonder how humans could make computers smart. With the help of other humans, he learned to create an illusion of smart computers that has real-world applications—MGPT-3 is a computer-based language model producing human-like text. Marais works at Synthesis Software Technologies.

Wim de Villiers

Wim has worked as a Data Scientist at DataProphet for almost 3 years. During this time, he has engaged with every product team in the company and enjoys extensive experience in unsupervised modeling and hyper-parameter optimization techniques. After studying Applied Mathematics at UCT, Wim attained a joint Master’s in Mesoscopic Physics from the Catholic University of Leuven and Chalmers University of Technology. He enjoys surfing and hiking.

Duane Churms

Duane has worked as a Systems Engineer at DataProphet for three years and is passionate about building robust, scalable systems and utilizing automation to eliminate human toil. He holds a Master of Science in electrical engineering from Wits and once worked as a Control & Instrumentation Engineer at Eskom, before transitioning into a computer-centered career doing C/C++ development, DevOps, and consulting work. Duane is an accomplished runner.