As more data is loaded into Azure, the need to properly govern and manage that data across all your data sources and data consumers also grows. Data that seemed adequate in the source system is often found to be deficient when shared.
According to TechTarget , a recent IDC forecast revealed enterprises will create and capture an estimated 6.4 zettabytes of new data in 2020. This firehose of data is coming into the enterprise from a variety of sources: servers, smartphones, websites, social media networks, e-commerce platforms, and Internet of Things (IoT) devices.
AI governance is a board-level responsibility to mitigate pressures from regulators and advocacy groups. Image: Mopic – stock.adobe.com IBM, Microsoft and Amazon all recently announced they are either halting or pausing facial recognition technology initiatives.
Airlines are using a wealth of new data sources in 2020. Strategy should now replace adrenaline as the fuel for decisions around data adoption and usage.
In one of our recent research projects, a respondent told our team that “data is the food of AI. It’s what AI grows on.” This
Most companies still face critical obstacles in the early stages of building their people analytics capabilities, preventing real progress. The majority of teams are still