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The data landscape has undergone significant transformations since the 1960s, with dramatic shifts in data analytics occurring over the past decade. Moving from basic digitization to the analysis of big data, these changes reflected the new capabilities in data processing and storage aligned with a rapidly evolving digital environment. Now, the advent of generative artificial intelligence (AI) is once again transforming data analytics, influencing everything from code generation to data visualization.

Data visualization serves as a critical component of data storytelling, offering a compelling way to influence business decisions. It's also an area where AI is making significant strides. AI enhances data visualization by introducing automation, personalization, and improved collaboration techniques. These advances enable us to interact with and present information more effectively, thanks to the contributions from AI and machine learning (ML).

AI integration into data visualization comes with its own set of challenges, such as concerns over data privacy, security issues, and the escalating costs associated with training business users. How can these challenges be addressed and how can we capitalize on its current and future improvements? 

Learn how AI is changing the way we work with data in this ITPro Today feature by Andrius Palionis, VP Enterprise at Oxylabs: How AI Is Propelling Data Visualization Techniques