Human Resources (HR) encompasses the entire scope of labor, including establishing, cultivating, and managing the employer-employee relationship. Businesses can be small, medium-sized, or large, and depending on the size, the right workforce is needed to keep things running properly. As a result, the necessity for labor optimization is becoming apparent, as it aids in the efficiency of operations. Workforce optimization accomplishes this by matching skills and resources to a specific job, allowing the HR manager to analyze an employee’s contribution and performance, recording performance data in a structured format to aid decisionmaking, tracking work progress, and identifying missed goals. This aids in the identification of an employee’s strengths and limitations.

Cybersecurity is a continuously developing industry, and it impacts all the sectors across the globe. Organizations are moving from integrated security teams to communicating the responsibilities with the application teams, and the industry has put added focus on partnership and the communication of information in the community to make certain the highest level of possible efficacy. Today, ransomware, fileless malware, and nation-state attacks dominate the cybersecurity conversation. Companies are shifting from previously reactive stances to more proactive ones. Real-time threat analysis, breach detection, and predictive modeling signal a significant shift away from information security toward intelligent security. Since 2014, new and creative strategies like artificial intelligence, machine learning, and behavioral detection have been employed by new players in the industry to great effect. As cyberattacks continue to progress and become more complicated, the cybersecurity industry faces new challenges as it looks to employ cutting-edge technology and techniques to fight the ever-present threat of malicious activity.

Smart farming is a concept in agriculture that involves data collection, data analysis, and data-driven decision making to increase yield, monitor crops and animals, and improve overall efficiency in all possible agricultural operations. Smart farming method or concept employs various technologies that become the means of operation. For example, to collect data, smart farming depends on the internet of things (IoT) and other sensorbased technologies, which allow seamless data collection. For data analysis, various farm management software and artificial intelligence (AI) based tools can be used to make sense of the collected data, and later autonomous machines and other mechanical equipment can be utilized to take necessary actions; for example, drones can be used to spread inputs such as pesticides and fertilizers.

The agriculture sector is quickly emerging in platform economics, and the rapid development of digital interfaces does not entirely depend on supply and demand. Collaborative platforms, such as finance, renting farms, exchanging services, and produces such as seeds, fruits, vegetables, and others have also appeared along with marketplaces. As internet networks are expanding into rural areas and smart devices are penetrating the agriculture sector, more opportunities to use technology for the benefit of farmers are growing. The agricultural produce, supplies, equipment, among others, are available on various platforms.

本分析内容主要分析对象是对银行信用卡 业务数字化发展的背景、现状盘点，并对 信用卡业务发展趋势进行分析； 分析内容包括但不限于银行信用卡业务在 存量竞争阶段，基于大数据、人工智能、 区块链等技术升级或创新应用，赋能用户 运营、风控管理等方面； 银行信用卡指的是银行准贷记卡和贷记卡。

DID 去中心化数字身份，元宇宙最重要的基础设施之一。身份是个体的属 性集合，社会经济运行的基石。数字身份包含标识符、属性、凭证等数据要 素，传统互联网的身份模型中，用户没有统一的标识符，数据身份无法互通 且有安全隐私隐患，数字凭证也因为数据孤岛的问题难以大规模使用。这种 身份模型在互联网早期比较适用，但随着数字经济的深化，成为阻碍数字世 界的基础设施，而DID 的出现将成为元宇宙重要的基础设施。

GMV 表现京东稳健，拼多多持续修复。7 月通常为电商淡季，大促期间淘宝 和京东的品牌折扣吸引力大，虹吸效应强，因此大促之后7 月用户活跃度均 有所回落，淘宝MAU 环比-4%，京东MAU 环比-6%，但GMV 表现京东持续稳 健。7 月京东GMV 增速22%，主要受益于家具家装、医药健康、家用电器等 品类高增速，增速分别为77%/37%/32%。拼多多7 月用户活跃及GMV 增速持 续改善，MAU 环比2%，百亿补贴力度高于去年同期，GMV 同比13%。