The world is filled with excitement over the possibilities of AI and for good reason. From streamlining industries to enhancing everyday experiences, AI is reshaping the way people interact with technology. However, aside from the possibilities, there is one challenge that often goes unnoticed, the storage demands AI brings with it.
With over two decades of experience in the data storage industry, I’ve witnessed the evolution of storage technologies firsthand. From the rise of SSDs to the reign of HDDs, I’ve seen how technology evolves through trends. But now, with AI at the forefront of technology, we’re facing an unparalleled challenge and opportunity.
AI isn’t just about sophisticated algorithms and powerful processors, it’s about the insatiable hunger for data.
Consider the vast datasets required to train AI models. We’re talking terabytes upon terabytes of images, videos and text. But as AI applications diversify, so do the storage requirements. New AI endeavours such as video production demand even more storage for training purposes alone. But once operational, AI systems perpetuate the cycle by generating copious amounts of data through logs, predictions, and continuous learning updates.
While this aggressive growth in data may seem daunting, it does present an opportunity for businesses to innovate and thrive. Here’s my top ways that AI can help manage your storage growth:
- Predictive Analytics: Leveraging AI-driven predictive analytics, businesses can forecast future storage requirements based on historical data. By anticipating needs in advance, organisations can proactively plan for capacity expansion, minimising the risk of storage bottlenecks.
- Data Optimization: AI algorithms excel at identifying redundant or obsolete data, enabling organisations to streamline their storage environments. By eliminating unnecessary clutter, businesses can optimise storage resources and maximise efficiency.
- Tiered Storage: With AI-driven tiered storage solutions, data can be intelligently categorised based on access patterns. Frequently accessed data can reside on high-performance SSDs for swift retrieval, while less frequently accessed data can be stored on cost-effective HDDs. This tiered approach ensures optimal performance without breaking the bank.
Now is the time to start preparing for the AI-driven revolution in storage. TD SYNNEX offers technical expertise, extensive global sales coverage, and direct contracts with first-class vendors. We stand ready to support your organisation on this transformative journey. Together, let’s harness the power of AI to propel your storage infrastructure into the future.
