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
-
Artykuł
Przeciwdziałaj oszustwom związanym z wnioskami ubezpieczeniowymi!Oszuści uwielbiają łatwość prowadzenia handlu w kanałach cyfrowych. Inteligentne firmy ubezpieczeniowe wykorzystują dane z tych kanałów (certyfikat urządzenia, adres IP, geolokalizacja itp.) w połączeniu z analityką i uczeniem maszynowym do wykrywania oszustw związanych z wnioskami ubezpieczeniowymi popełnianymi przez agentów, klientów i grupy oszustów.
-
Artykuł
Managing fraud risk: 10 trends you need to watchSynthetic identities, credit washing and income misrepresentation – these are just some of the trends to watch if you’re trying to understand how to manage fraud risk. Find out what’s on the top 10 list of trends according to experts like Frank McKenna and Mary Ann Miller.
-
Artykuł
Payment fraud evolves fast – can we stay ahead?Payment fraud happens when a criminal steals a person’s private payment information, then uses it for an illegal transaction. As payment trends evolve, so do the fraudsters. Banks and PSPs can fight back with advanced analytics techniques that adapt quickly to spot anomalies in behavior.
-
Artykuł
The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter