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NetApp And Intel Enter Partnership For AI for Enterprises
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Groundbreaking solution simplifies AI inferencing for specialized and local applications

NetApp® (NASDAQ:NTAP), the intelligent data infrastructure company, today announced the release of NetApp AIPod Mini with Intel, a joint solution designed to streamline enterprise adoption of AI inferencing. This collaboration addresses the unique challenges businesses face when deploying AI, such as cost and complexity, at the department and team level.

To thrive in the era of intelligence, enterprises have adopted AI to enhance efficiency and data-driven decision making across their businesses. A study by Harvard Business School found that consultants given access to AI tools were able to increase their productivity, completing 12.2 percent more tasks and completing them 25.1 percent more quickly. However, individual business units may find that the broadly available general purpose AI applications are not able to meet their specific needs, but do not have the technical expertise or budget to customize an AI application from scratch. NetApp and Intel have partnered to provide businesses with an integrated AI inferencing solution built on an intelligent data infrastructure framework that allows specific business functions to leverage their distinct data to create outcomes that support their needs. NetApp AIPod Mini streamlines the deployment and use of AI for specific applications such as automating aspects of document drafting and research for legal teams, implementing personalized shopping experiences and dynamic pricing for retail teams, and optimizing predictive maintenance and supply chains for manufacturing units.

"Our mission is to unlock AI for every team at every level without the traditional barriers of complexity or cost," said Dallas Olson, Chief Commercial Officer at NetApp. "NetApp AIPod Mini with Intel gives our customers a solution that not only transforms how teams can use AI but also makes it easy to customize, deploy, and maintain. We are turning proprietary enterprise data into powerful business outcomes."

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