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
Next generation anti money laundering: robotics, semantic analysis and AIAnti-money laundering taken to it's next level is sometimes referred to as AML 2.0 or AML 3.0. What does this next wave of AML technology look like? What can it do that you can’t do with traditional AML? See the results innovative financial institutions around the globe are already getting.
-
Article
Edge computingWith traditional methods, data is captured, stored and analyzed later – limiting how quickly businesses can act on insights from the data. With edge computing, IoT data is processed at the edge of a network – right where it’s created or collected – avoiding delays and enabling real-time processing and action.
-
Article
Building confidence in your customer experienceForbes Insights surveyed more than 350 leaders at large organizations to determine how they are using data and analytics to power the customer experience.
-
Video
Customer journey mapping for better omnichannel experiencesIn this video, Daniel Newman principal analyst with Futurum, explains the value of customer journey mapping for improved experiences no matter the channel.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter