A new strategy blends cloud and on-premises database management, sparking curiosity about AI’s potential.

Today artificial intelligence is reshaping businesses; enterprises are turning to a powerful hybrid database management strategy to fuel their AI dreams. This approach, blending on-premises and cloud data, ensures seamless access to trustworthy information, vital for AI’s success. Research from Enterprise Strategy Group reveals only 48% of organizations trust their data for AI, as fragmented and poorly governed data hinders progress. A hybrid strategy, however, weaves a unified data fabric, enabling secure, real-time access across environments.

Cloudera’s True Hybrid vision exemplifies this, offering centralized governance and a platform to test AI with cutting-edge tools like Nvidia microprocessors. Oracle’s 23ai database, paired with partners like Google Cloud, delivers high-performance solutions for diverse data needs. These platforms empower businesses to bring AI to their data, cutting costs and complexity while enhancing security. From real-time fraud detection to customer engagement tools, hybrid strategies support innovative AI applications tailored to unique enterprise needs.

With 66% of organizations adopting this approach, the hybrid model is becoming essential. It supports departments like HR and finance, ensuring consistent data flow. This shift, blending agility with control, promises sustainable AI growth, captivating those eager to see technology’s next chapter. The news originates from the United States, a hub of AI and data innovation.