💬 “”The shift from narrow to broad AI will include learning from smaller data sets and hence result in computational efficiency. The possibilities for new business models and innovations across the entire economy including for breaking from ‘business as usual’ towards environmental sustainability are huge.” @Imtiaz Adam
This is a conversation with Imtiaz Adam
🎙️ Imtiaz is a Data Scientist and Machine Learning engineer. He has an MSc in Computer Science with research in AI Deep Learning, an MBA and is a Sloan Fellow in Strategy from London Business School. He also served as a Director of Morgan Stanley where he was global head of clean technology infrastructure financing.
🎧 In this episode, Imtiaz talks about the importance of connecting technologies, environmental sustainability and new job creation with our economic recovery from COVID-19. His focus in this conversation is on Broad AI, 5g IoT and AI on the edge. Imtiaz explains that today we have narrow AI whereby the machine can perform specific tasks and the powerful Deep Learning algorithms of today require Big Data sets for training. The learning process is quite different to that of a human child and entails vast amounts of labelled data sets. Looking ahead, he says, we are closer to moving into broad AI that will empower Deep Learning to perform broader tasks. The shift to broad AI will include learning from smaller data sets and enable more computational efficiency. Furthermore, the Broad AI era will enable intelligent devices for AI IoT where the Internet of Things converges with AI Edge Computing. Imtiaz says that AI techniques such as Federated Learning with decentralized data will also deliver gains in data privacy as well as efficiency.
Overarchingly we will move to a more efficient and also more capable era of AI that will also deliver services that may be used in fighting climate change such as devices and sensors that may enable real-time interactions with people and also objects such as buildings, manufacturing facilities, energy systems, smart cities do as to optimize for efficiency gains and reduce unwanted wastage and pollution. Imtiaz references a PWC and Microsoft report that sets out huge numbers of greenhouse gas emissions reduction and job creation that AI could deliver by 2030.