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Innovating Beyond AI

Click to learn more about author Susana Duran. 2020 has been a year of rapid transformation. The advent of COVID-19 has accelerated many of the trends we have seen in recent years. This is especially true of AI and machine learning — there’s been an almost 25 percent year-on-year increase in business use of AI […]

Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem

The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]

Dear Laura: Agile Data Governance

Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance, I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote the […]

When It Comes to Data Collection, Transparency and Ethical Standards Are Not a Matter of Choice

Click to learn more about author Or Lenchner. Online data collection is an incredibly powerful tool. It enables you to gather real-time market intelligence effectively. By nature, online data is sourced from a wide variety of websites. Therefore, it’s essential that the companies collecting and leveraging the data have a strong ethical standard for how […]

What Is a Digital Twin?

A digital twin is a virtual device that contains the exact state, information, and organization of the physical device to which it is connected. Think of it as a test version before proceeding with product development or interacting with a real-world device. Digital twins go hand-in-hand with implementing the Internet of Things (IoT). Industrial companies […]