AI is everywhere today. Is it in your company’s products? In this session we will explore: Things to consider when making your products “smart” with AI How to ensure AI-enabled products play well with your company’s strategy, and How to use less of that crucial resource, data, while getting good performance in AI capabilities This session will be part talk, part interactive discussion. We will look at specific tools to assess your company’s AI priorities, and techniques to make AI models less data-hungry. 3 Key Takeaways  Discover opportunities for adding AI to your products using a structured, disciplined analysis Assess what is needed for your company to fully leverage new strategic possibilities offered by AI Learn about contemporary approaches to training performant AI and machine learning models with less data Meet your presenter.. Nick Pogrebnyakov Head of AI and Data Science at Sparrow BioAcoustics Nick has held positions in both academia and industry. Before joining Sparrow, Nick was a Technical Lead and a Machine Learning Engineer at Twitter. For 13 years he was an Associate Professor of International Business at Copenhagen Business School, where he taught on and researched technology strategy, international business strategy, and innovation in supply chains. With […]