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
Homelessness data holds insights to a hidden problemSAS partnered with The Carying Place, an organization that supports working homeless families, to find new ways to measure indicators of participant success and provide families the help they deserve.
-
Article
5 ways to measure beehive health with analytics and hive-streaming dataThis analytical approach to understanding bee hive health can automatically alert beekeepers to changes in hive weights, temperatures, flight activity and more.
-
Article
Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
-
Article
AI in banking: Survey reveals factors for successWhat do banking executives report about their experiences with AI? Where are they focusing today? What’s working? What are their plans for the future?
Ready to subscribe to Insights now?
Subscribe to Insights newsletter
