Kennedy also highlights the importance of cost and innovation in data storage. Despite rising energy costs and increasing data volumes, companies will continue to seek cost-effective solutions. New storage technologies will be necessary to manage data complexity and ensure accessibility. While DNA and biological data storage may not be viable soon, creative solutions will emerge. Ultimately, Kennedy argues that the fundamental shift in data storage technology could occur within a few years, emphasizing the need to embrace data fluidity and move away from outdated paradigms.
Key takeaways:
- Data storage models will evolve to treat storage media from the edge to the cloud as a single continuum, eliminating data silos.
- Intelligent automation will enable data to be instantly available wherever needed, with AI assistants facilitating immediate analysis and recall.
- Energy efficiency in data centers will be crucial, with potential innovations like space-based data centers utilizing abundant solar energy.
- Cost constraints will drive the development of new, affordable storage technologies, possibly including biological forms of data storage.