Global Big Data Conference

Over the last several years, deep learning -- a subset of machine learning in which artificial neural networks imitate the inner workings of the human brain to process data, create patterns and inform decision-making -- has been responsible for significant advancements in the field of artificial intelligence. Building on what is possible with the human brain, deep learning is now capable of unsupervised learning from data that is unstructured or unlabeled. This data, often referred to as big data, can be drawn from various sources such as social media, internet history and e-commerce platforms, among others. These sources of data are so vast that it could take decades for humans to comprehend it and extract relevant information, but interpreting this data through deep learning allows models to detect objects, recognize speech, translate language and make decisions at remarkable speeds. Many companies realize the incredible potential that can result from unraveling this wealth of information and are increasingly adopting AI systems driven by deep learning to gain a competitive advantage through data and automation.