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The implications of data privacy regulations on AI

Investment in artificial intelligence (AI) is growing, with 60% of adopters raising their budgets 50% year over year, according to Constellation Research. But working with AI under emerging privacy standards is complex, requiring a dynamic balance that allows for continued innovation without misstepping on regulatory requirements.

5 best practices to deliver trust in your data project: Tip #5 Enforce regulatory compliance with good data

Data regulations require organizations to increase control over their data assets, which in fact can lead to business benefits beyond regulatory compliance. A robust data governance program is pivotal to any data protection or compliance legislation such as CCPA or HIPAA in the US, the Banking Royal Commission in Australia or GDPR in Europe. The traditional data governance disciplines of data ownership, metadata management, data quality management and model governance fully apply.

5 Stats That Show How Data-Driven Organizations Outperform Their Competition

Today, 90% of enterprise analytics and business professionals say that data and analytics are key to their organization’s digital transformation initiatives. However, there are many companies that are reluctant to pull the trigger because they aren’t sure about the advantages of becoming data-driven. In this article, we’ll look at 5 statistics that show how becoming a data-driven business can help you outdo your competition.