This Week in Data
Vehicle-to-Cloud – yes, it is a thing! And it is making automotive insurance providers and telecoms thrive together to support telematics “Self-driving cars are the natural extension of active safety and obviously something we should do,” this is a popular quote by Elon Musk. But wait, even more popularly discussed
The post Connected Cars, Telematics and Connectivity-as-a-Service : What’s the Future? appeared first on Dataconomy.
I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the
The post Not Accounting for Bias in AI Is Reckless appeared first on Dataconomy.
The digital advertising market has doubled in size over the past five years, with the total ad spend in Europe approaching €50 billion, according to the IAB. The success and continued growth of the market is reliant on the massive volumes of data produced each day – an estimated 2.5 quintillion
The post What is the future of data-driven advertising? appeared first on Dataconomy.
Artificial Intelligence is dominating innovation in companies across the globe- doesn’t matter if they are giant conglomerates or young startups. According to a report by Research and Markets titled Artificial Intelligence Market by Technology, and Industry Vertical – Global Opportunity Analysis and Industry Forecast, 2018-2025, the global Artificial Intelligence market
The post Artificial Intelligence Predictions for the year 2019 appeared first on Dataconomy.
For some time, observability in IT operations has been associated with three data types that monitoring systems must ingest in order to be at least somewhat effective: logs, metrics, and traces. This limit to the type of data consumed is far from efficient when it comes to the true needs
The post Why AIOps Must Move From Monitoring to Observability appeared first on Dataconomy.
Disasters are dangerous, but Big Data can help improve disaster relief and preparedness to cut back on lives lost and community damage. Historically, public policies have proved ineffective in providing adequate help for disaster-stricken citizens. A year after hurricane Harvey in 2017, for example, residents are still in the midst
The post How Big Data Assists in Disaster Relief and Preparedness appeared first on Dataconomy.