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
Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
-
Article
Data lineage: Making artificial intelligence smarterFor AI to reach its full potential, the data feeding its algorithms and models needs to be well-understood. Data lineage plays a vital role in understanding data, making it a foundational principle of AI.
-
Article
IFRS 17: Waiting is not an optionIFRS 17 is a principles-based accounting standard for the future-oriented valuation of insurance contracts. Designed to increase financial transparency, IFRS 17 requires insurers to report in more detail on how insurance and reinsurance contracts affect their finances and risk.
-
Article
Medicaid and benefit fraud in 2018 and beyondTo curb the growing amount of Medicaid and benefit fraud and improper payments, agencies and their commercial counterparts need fraud and abuse detection systems with data management and analysis that can keep up and even stay one step ahead.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter