The Suning Cloud Commerce Data‑Driven Forum gathered top experts from Intel, Mobike, Google, and others to share deep insights on big data, AI, and data‑driven retail, offering practical case studies, emerging technologies, and strategic perspectives for the industry’s digital transformation.
Big data’s explosive growth, fueled by the internet and massive data collection, has transformed AI methods, reshaped industries, and sparked a new intelligent revolution by turning uncertainty into actionable insight, illustrating how data volume, multidimensionality, and completeness fundamentally change technology and business models.
This article details Alibaba's CloudDBA system, explaining its business and user demands, architecture layers, SQL and space optimization techniques, data‑driven decision making, and ongoing AI‑based intelligent optimization research, illustrating how large‑scale database services are automated and self‑service for developers.
Didi’s Apollo platform combines A/B testing with gradual (gray) release, letting product teams safely roll out new features to targeted user segments, monitor key metrics, and apply best‑practice guidelines—such as isolating variables, pre‑defining metrics, controlling duration, random grouping, and confidence analysis—to achieve statistically significant, data‑driven improvements across thousands of weekly releases.
The article explains how rapid advances in cloud computing, big data, IoT and artificial intelligence are reshaping business, turning traditional enterprises into data‑driven, intelligent organizations that rely on automated decision‑making and real‑time customer interaction.
This article examines Toutiao’s product evolution—from strategic naming decisions validated by A/B testing to its data‑driven recommendation architecture—highlighting how lean product methodology, algorithmic personalization, and continuous experimentation underpin its success in the mobile news landscape.
A ByteDance product manager shares how rapid company growth, data‑driven decision making, AB testing, and close collaboration with reliable engineering teams accelerate personal development and create ample space for product innovation.
The article explains how many founders over‑estimate a CTO’s ability to solve every technical problem, outlines six common CTO expectations in startups, and offers practical advice on aligning those expectations with the reality of technology leadership, team building, and data‑driven decision‑making.
This article explores the true meaning of a technology‑driven company, arguing that product, customers, and problem definition outweigh pure tech, and discusses when CEOs need technical backgrounds, the role of engineers, and why chasing the newest tech can be harmful.
The article recounts former 21CTO product director Zeng Xing’s 11‑year journey at Tencent Mobile Manager, detailing how relentless user research, data‑driven insights, micro‑innovation, and crowd‑sourced features transformed the app from a modest 1.0 release into a billion‑user security platform with daily active users exceeding 100 million.
This article traces the history and modern challenges of big data, illustrating how Microsoft has leveraged data‑driven culture, large‑scale data collection, and machine‑learning services such as Azure ML to transform product development and user experience across decades.
This article explains how smart energy management, limiting overtime, saying no to low‑value tasks, delegating, avoiding perfectionism, automating repetitive work, using data‑driven decisions, and allowing idle time can dramatically improve personal and organizational productivity, backed by multiple research studies.
The article presents Uber engineering leader Raffi Krikorian’s twelve practical rules for planning, executing, and managing software architecture refactoring, emphasizing clear purpose, measurable goals, incremental delivery, data‑driven decisions, technical debt control, realistic technology choices, and stakeholder communication.
The article explains how visualizing both service delivery and service metrics is essential for modern operations, describing the evolution from ITIL processes to DevOps automation, continuous delivery of infrastructure and applications, and data‑driven measurement techniques that enable consistent, agile, and measurable operational performance.
Over ten years, Qiongyou evolved from a modest travel forum into China's most influential outbound travel community, leveraging user‑generated content, structured guide products, mobile app integration, and strategic partnerships to create a data‑driven ecosystem that fuels both user engagement and revenue.
