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
- Artículo ¡Evita de una vez por todas el fraude en las solicitudes de seguros!Los defraudadores están encantados con lo fácil que es realizar sus transacciones a través de los canales digitales. Las compañías de seguros más inteligentes utilizan datos de esos canales (huella dactilar del dispositivo, dirección IP, geolocalización, etc.) junto con análisis y aprendizaje automático para detectar fraudes en las solicitudes de seguros perpetrados por agentes, clientes y redes de fraude.
- Artículo Modern manufacturing's triple play: Digital twins, analytics & IoT IoT-powered digital twins revolutionize manufacturing with real-time data analysis, predictive maintenance and optimized production. Discover their transformational impact.
- Artículo Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
- Artículo Strengthen your payment fraud defenses with stronger authenticationThe rapid growth of digital wallets and payment applications ushered in many new payment fraud threats. Today, it’s more critical than ever to authenticate users. Learn four innovative to ways strengthen your authentication defenses while reducing false positives and protecting customers’ assets.
Ready to subscribe to Insights now?