The company is pushing to be a central player in China's ongoing AI and cloud adoption. ...

深度应用不是从零构建一套应用系统，而是与企业现有流程深度融合，这也是企业跨越超级智能的关键。 智通财经APP获悉，在25日举行的 JDDiscovery-京东全球科技探索者大会上，京东集团(09618)技术委员会主席、京东云总裁曹鹏表示：面对人工智能新时 代，深度应用是跨越超级智能的支点。 他说，现在的AI应用已经不是单点试水，而是全面开花深度应用，各种智能体正推动 AI 从工具转向业务流程渗透。 ...

Core Insights - President Donald Trump's announcement of a U.S.-Vietnam trade deal and a solid June jobs report positively impacted stock markets, presenting investment opportunities for investors seeking stocks with strong fundamentals and growth potential [1] Dell Technologies - Dell Technologies (DELL) is highlighted as a stock pick, with Evercore analyst Amit Daryanani maintaining a buy rating and a price target of $150, while TipRanks' AI analyst has an "outperform" rating with a price target of $128 [3][4] - Daryanani expressed optimism about Dell's potential for high-single-digit revenue growth and double-digit increases in earnings per share (EPS) and free cash flow (FCF), supported by cost optimization initiatives and AI investments [4][6] - The analyst noted that Dell's AI server margins are exceeding expectations, allowing the company to earn a premium compared to competitors, and emphasized innovations in infrastructure offerings, particularly in liquid cooling capabilities [5][6] Trade Desk - Trade Desk (TTD) is another stock recommendation, with Evercore analyst Mark Mahaney upgrading the stock to Buy from Hold, setting a price forecast of $90, while TipRanks' AI analyst has an "outperform" rating with a lower target of $83 [7][8] - Mahaney views the recent pullback in TTD stock as a buying opportunity, citing improved online ad demand sentiment and execution since April/May, despite uncertainties for the second half of the year [8][11] - The analyst highlighted that Trade Desk's product announcements have alleviated concerns regarding the transition to the AI-powered Kokai platform, and he anticipates achievable growth setups for fiscal 2025 [10][12] Amazon - Amazon (AMZN) is the third stock pick, with Jefferies analyst Brent Thill reaffirming a buy rating and raising the price target to $255 from $250, while TipRanks' AI analyst has an "outperform" rating with a target of $233 [14][15] - Thill's price target increase follows a survey indicating that Amazon remains resilient despite tariff-related price increases, with 62% of respondents spending the same or more in the past three months [15][16] - The survey revealed that Amazon Prime is a significant loyalty driver, with 73% of respondents holding a Prime membership, and Thill expects the upcoming Prime Day event to be more impactful due to its extended duration [16][17]

Core Insights - JD Group's Q1 2025 financial report highlights strong growth momentum in core business, driven by founder's involvement and significant R&D investment totaling 145.6 billion yuan since 2017, showcasing robust development and innovation vitality [1] Group 1: Technological Innovation and Application - JD Cloud launched the DeepSeek product and a one-stop platform for "development training + scenario application," facilitating the deployment of large models and enhancing enterprise smart transformation [2] - Over 14,000 intelligent agents are currently operational within JD, significantly improving business value across various scenarios, such as JoyCoder for coding assistance, which has a code adoption rate exceeding 40% and reduces development cycles by 30% [2] - In marketing, AIGC technology has increased efficiency by 90% in generating high-quality marketing content, contributing to over 14 billion yuan in GMV growth from services to more than 9,000 brand merchants [2] Group 2: Large Model Deployment and Infrastructure Upgrade - JD Cloud is upgrading its AI development computing platform to simplify model development processes, supporting over 20 open-source models and providing more than 100 algorithms and toolchains for customized model development [4] - The cloud infrastructure includes a super-intelligent computing cluster with a scheduling capacity of 2,000 cards per cluster and over 100,000 cards globally, achieving a model utilization rate of 75% [4] - JD Cloud's AI storage supports AI models with hundreds of billions of parameters, achieving 10 million IOPS for 4K random writes and a 30% cost reduction through storage-computing separation technology [5]