Machine learning, data science and AI meet IoT
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
Intelligent policing: Are data analytics systems the key to public safety?Police agencies are navigating rapidly changing landscapes, rising data volumes, evolving threats, and growing expectations for transparency and coordination. They can't keep pace if they're dependent on siloed data, aging platforms and legacy practices. Intelligent policing can help. This evolution from reactive to problem-oriented policing relies on shared data, visualization and a scalable analytics ecosystem.
-
Article
6 ways big data analytics can improve insurance claims data processingWhy make analytics a part of your insurance claims data processing? Because adding analytics to the claims life cycle can deliver a measurable ROI.
-
Article
Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
-
Article
Know your blind spots in tax fraud preventionTax agencies sometimes miss fraud that's happening right under their noses – despite robust external fraud prevention efforts. Find out where traditional tax fraud prevention and detection efforts fall short, and how analytics can change that.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter