FEATURE : DATA STORAGE SYSTEMS crucial . Traditional methods like data tiering are not compatible with AI workflows , prompting the need for efficiency-focused solutions .
“ Moreover , the distinction between unstructured and structured data is blurring . Machine learning ’ s capacity to derive insights from unstructured data adds value ,” says Haider Aziz , Managing Director META , VAST Data .
In response , innovations strive to optimise performance , scalability , cost-efficiency , and data handling , culminating in the emergence of solutions such as the VAST Data Platform , a solution that seamlessly integrates storage , database , and compute engine services , aligning perfectly with the demands of the AI era .
“ The latest innovations hold the promise of accelerated insights from complex data sets . The ability to correlate diverse data sets and train large language models on private , domain-specific data enhances operational efficiency and generates novel insights ,” adds VAST Data ’ s Aziz .
Enterprises can harness these innovations to revolutionise industries by fostering advancements in disease treatment , climate change solutions , agriculture , and unexplored domains of science and
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