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
Bank Closures: Which areas are likely to be ‘bankless’ by 2024? The way that we bank has significantly changed in recent years, as banks respond to the needs of many businesses and consumers who choose to do their banking online, rather than visit the local branch.
-
Article
Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
-
Article
3 ways to rethink retail forecasting and demand planning The pandemic has profoundly changed consumer shopping behaviors and experiences and the increasing pressure has retailers scrambling to improve their ability to precisely predict and plan for demand. If you don’t know where to start, here are three questions to ask as you rethink your forecasting and demand planning.
-
Article
5 data management best practices to help you do data rightFollow these 5 data management best practices to make sure your business data gives you great results from analytics.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter
