Capturing business value from IoT data
From smart watches to smart cars and smart cities, we can put sensors on virtually everything around us. What will we do with all that IoT data? In this video, Kirk Borne and Michele Null discuss how artificial intelligence, machine learning and data science can help you capture more value from IoT data – to drive efficiency, differentiate services and open the door for entirely new business models.
Recommended reading
- ARTICLE Qu'est-ce que la modélisation IA ?La modélisation IA consiste à créer des programmes qui utilisent un ou plusieurs algorithmes permettant aux ordinateurs de réfléchir, d'apprendre et de prédire des résultats. Comme le cerveau humain, les modèles d'IA absorbent des données en entrée (nombres, textes, images, vidéos, sons) pour apprendre à prédire des résultats ou à accomplir des tâches spécifiques sans avoir à donner des instructions à chaque fois.
- ARTICLE Next generation anti-money laundering: robotics, semantic analysis and AIAdding AI and machine learning to your anti-money laundering program can combat rising compliance pressures, complexity and risks. Learn about the results innovative financial institutions around the globe are getting from next-generation AML.
- ARTICLE Understanding capital requirementsCredit risk classification systems have been in use for a long time, and with the advent of Basel II, those systems became the basis for banks’ capital adequacy calculations. What is needed going forward is an efficient and honest dialogue between regulators and investors on capitalization.
- ARTICLE Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
Ready to subscribe to Insights now?