BoxWorks 2024 Recap: Preparing for the Future of AI-Powered Content Management

11.27.2024

BoxWorks 2024 delivered on its promise to be a pivotal event for AI-powered content management. With industry leaders converging to explore the intersection of AI and enterprise data, the event, hosted on November 12 in San Francisco, was a masterclass in innovation and collaboration.

Here’s a recap of our top takeaways from the event, along with valuable insights that organizations should consider as they prepare for the AI-driven future.

DryvIQ's Tim Thornburg presenting during the AI Showcase at BoxWorks 2024
DryvIQ’s Tim Thornburg presenting during the AI Showcase at BoxWorks 2024

Top Takeaways from BoxWorks 2024

AI is Transforming Enterprise Content Management

Throughout the event, a consistent message rang loud and clear: AI has the power to unlock the value of unstructured data. With an estimated 90% of enterprise data categorized as unstructured, businesses are not fully leveraging their content’s potential.

Box demonstrated its mission to revolutionize content workflows by embedding AI into every layer of enterprise content management. This aligns closely with DryvIQ’s perspective that AI is only as effective as the underlying data. Successful organizations need to take actionable steps to modernize their legacy enterprise content management (ECM) systems and prepare their data for an AI-driven future.

Intelligent Content Management is the Future

The shift from legacy ECM to Intelligent Content Management (ICM) emerged as a primary discussion point at BoxWorks. Many organizations still rely on outdated ECM systems, which lack the flexibility and AI-readiness needed to compete in today’s dynamic environment. One key message resonated strongly: organizations leveraging ICM are better positioned to unlock actionable insights and optimize content workflows, giving them a significant competitive advantage.

DryvIQ can help organizations accelerate their adoption of ICM by analyzing data to inform the migration strategy and then transferring files with full fidelity at unparalleled speed and scale.

AI Success Depends on High-Quality Data

Organized, relevant, and secure data continues to be paramount to AI success. According to Gartner, poor data quality costs businesses $12.9 million annually on average. This figure can be even higher for organizations relying on Gen AI due to the increased dependence on data for accurate model training and predictions.

Investing in scalable and continuous data scanning, cataloging, and automatic management of enterprise data is fundamental to ensuring it’s always business-ready for AI. This proactive approach mitigates risks and ensures that AI initiatives contribute to innovation and long-term competitive advantage.

DryvIQ plays a critical role here by delivering comprehensive enterprise-wide data management. The platform enables organizations to modernize their content workflows by ensuring data is relevant, organized, cleansed, and secure for AI initiatives.

Empowering Rapid Innovation with No-Code/Low-Code Apps

A surprising takeaway from BoxWorks 2024 was the extent to which Box is enabling enterprises to build no-code/low-code content workflows. This innovation provides businesses with tools to rapidly create tailored content applications without requiring advanced coding expertise.

For enterprises, this brings speed, flexibility, and scalability to their digital transformation efforts, allowing teams to respond quickly to business needs while maintaining complete control over content processes.

Practical Tips for Organizations Preparing for AI in 2025

BoxWorks 2024 left attendees with one clear message: AI is reshaping the business landscape, and companies must adapt to thrive. Here are some key recommendations for businesses preparing to incorporate AI into their content workflows:

  1. Rethink Legacy Content Management Systems

If you’re still relying on outdated ECM systems, it’s time to explore Intelligent Content Management. Modern systems like Box’s ICM allow organizations to future-proof their content ecosystems and fully utilize AI. Start by modernizing legacy ECM systems. Proven platforms like DryvIQ can help enterprises transition quickly and effectively.

  1. Cleanse and Organize Your Data

Even the most advanced models will falter without relevant, organized, clean, and secure data. Establishing confidence in these data qualities is essential for achieving reliable and impactful AI outcomes. Evaluate and continuously maintain the quality of your enterprise data, ensuring it’s always ready to drive AI adoption and effectiveness.

  1. Adopt Low-Code/No-Code Solutions

Don’t wait for a dedicated development team to address your workflow bottlenecks. Leverage no-code/low-code solutions to innovate rapidly and customize workflows to unique business needs.

DryvIQ's Tim Thornburg at BoxWorks 2024

“It’s fun to meet with customers and partners in-person, especially after being mostly remote and virtual these past few years. I’m grateful for the opportunity to participate in the BoxWorks 2024 AI Partner spotlight. The feedback was extremely positive. ”
– Tim Thornburg, DryvIQ

DryvIQ + Box = The Future of AI-Powered Content Management

BoxWorks 2024 showcased how AI will influence every aspect of enterprise content management moving forward. The integration between DryvIQ and Box empowers organizations to modernize their operations, unlock actionable content insights, and ensure their unstructured data is AI-ready.

Whether you’re just beginning your digital transformation or looking to revamp your content workflows, DryvIQ and Box provide the foundation for AI success.

Is your organization ready to take the next step? Book a demo today to see how DryvIQ can help you modernize your content management and ensure your data is prepared for the AI-driven future.

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