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
Understanding capital requirementsCredit risk classification systems have been in use for a long time, and with the advent of Basel II, those systems became the basis for banks’ capital adequacy calculations. What is needed going forward is an efficient and honest dialogue between regulators and investors on capitalization.
-
ARTICLE
Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
-
ARTICLE
Applying technology to ensure voter integrity in electionsVoter integrity is becoming a serious concern. Recent disclosures of foreign influence using social media highlight the potential impact on the democratic process. Technology can identify both legitimate and fraudulent activity; the key is to minimize the impact on legitimate activity while thwarting cyber-criminals and fraudsters.
-
ARTICLE
Five AI TechnologiesDo you know the difference between artificial intelligence and machine learning? And can you explain why computer vision is an AI technology? Find out in this short explainer.
Ready to subscribe to Insights now?
Subscribe to Insights newsletter