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!