As technologies such as 5G and artificial intelligence (AI) mature, they bring about enormous changes to almost all industries. The ĂŹSystems Architect Growth Plan,Ăź an online lecture series codesigned by Science and Intel, aims at enhancing the skills of cloud career professionals, specifically in systems, infrastructure, emerging technologies, and solutions as well as helping companies to accelerate their digital transformation by presenting real-world, problem-solving best practices. Five top engineers and team leaders from five pioneering companiesĂł namely Amazon Web Services (AWS), Baidu, Ping An Technology, Alibaba Cloud, and SFĂłparticipated in these recently recorded lectures.The lecture series is clearly needed, as many architects and developers have questions on how to build a more efficient big data platform to better realize their business values. In the first lecture, Xiaolong Yao, assistant chief data officer (CDO) of SF, a leading Chinese logistics company, shares the companyĂs practice of constructing a plan for efficient collection, storage, extraction, transformation, loading, and analysis of its huge data reservoir, and eventually building a system that is flexible and scalable.Yao explains that his companyĂs system deploys edge computing in several scenarios; edge computing is a paradigm in which the computing process is carried out close to the user device rather than at the computing center. ĂŹAt the edge, we have [the capability for] more real-time reasoning, real-time calculation, and analysis; in the cloud, [computing] is more like data management, such as postevent analysis and algorithm training,Ăź says Yao.The top priority for the financial industry in achieving its transformation is to construct a big data system that elevates efficiency, improves customer experience, and leads to income growth. In the second lecture, Zhi Weng, CDO at Ping An Technology, a cloud-service supplier under the leading Chinese insurance company Ping An Insurance Group, introduces four technological areas of big data platform construction for financial businesses: risk-based decision making, anti-fraud, AI technology, and blockchain applications, the latter involving a decentralized digital ledger that records information in a way that is difficult to change or hack.While the first two lectures introduce solutions for contemporary issues, the third, delivered by Zhenyu Hou, deputy director of Baidu, a Chinese multinational technology company specializing in Internet-related services and products as well as artificial intelligence, is for entrepreneurs who want to embrace the future. As the demand for technological innovation and economic structural reform grows, and as the pandemic continues, big data centers will become an important part of ChinaĂs strategic plan to revive the economy. In his lecture, Hou envisions what a future big data center will look like, the challenges it will face as data accumulate, and the software and hardware solutions to these challenges. ĂŹWe can see that data center software and ha...