In a bid to accelerate Artificial Intelligence adoption across industries, Huawei says it has launched AI Data Lake Solution to deliver high-quality datasets and speed up model training.
Speaking in a statement on Wednesday, Mr Peter Zhou, Vice President of Huawei, emphasised that being AI-ready required being data-ready, noting that the industry digitalisation relied on converting data into actionable insights.
He explained that the AI Data Lake Solution combined data storage management and resource allocation with AI tools, enabling businesses to leverage AI effectively.
Zhou also highlighted the importance of data management, noting that Huawei’s Data Management Engine (DME) provided data visibility, manageability and mobility across regions.
He said that the DME helped customers eliminate data silos and unlock the full potential of their data.
He noted that the DME platform integrated the Omni-Dataverse, enabling customers to efficiently process data and retrieve information from over 100 billion files in seconds.
“Furthermore, the AI Data Lake Solution features resource management capabilities, including efficient xPU resource pooling and intelligent scheduling, powered by virtualisation and container technologies.
“This enables enterprises to boost resource utilisation, create an exceptional operation and maintenance experience with AI-powered applications,” he said.
Zhou’s underscored the significance of data infrastructure in driving industry intelligence, and Huawei’s commitment to innovation and customer-centric solutions.
He said that the AI Data Lake Solution was poised to accelerate AI adoption across industries, enabling enterprises to harness the power of data and drive business success.
Zhou noted that with its technology and innovative approach, Huawei was set to make a significant impact in the AI landscape, empowering businesses to thrive in a rapidly evolving digital world.
“The launch of the AI Data Lake Solution is a testament to Huawei’s dedication to innovation and customer satisfaction, and its potential to transform industries and drive growth,” Zhou said.
NAN
