Read more about author Phil Pearce. Today, more than ever, people are concerned about data privacy. Reflecting this, countries all over the world have introduced privacy laws – GDPR and CCPA being the biggest examples. These laws govern how businesses should collect, manage, and maintain data. This has prompted businesses to reevaluate their data collection operations. But to keep data private and secure businesses need robust data governance. Let’s explore the topic in…

Read more about author Dom Couldwell. As your data projects evolve, you will face new challenges. For new technology like generative AI, some challenges may just be variations on traditional IT projects like considering availability or distributed computing deployment problems. However, generative AI projects are also going through what Donald Rumsfeld once called the “unknown unknowns” phase, where we are discovering potential issues that we did not consider before. To…

Read more about author Gopi Maren. In today’s data-driven world, organizations face increasing pressure to manage and govern their data assets effectively. Data governance plays a crucial role in ensuring that data is managed responsibly, securely, and in accordance with regulatory requirements. One key component and driver of successful data governance is the implementation of a robust data strategy coupled with a comprehensive data literacy program. Crafting an Effective Data…

Read more about author AJ Abdallat. AI and machine learning can be revelatory for organizations inundated with a sea of data and grappling to find ways to generate meaningful insights from it. AI tools help identify patterns and trends within large datasets that are often challenging for humans to discern. These tools can be trained to make predictions based on historical data, enabling organizations to anticipate trends, forecast outcomes, and…