McKinsey’s 2026 Global Tech Agenda reveals that top‑performing companies are turning technology into a strategic growth engine by reshaping the CIO role, prioritising AI investment, adopting product‑centric operating models, and focusing on speed and value rather than mere cost reduction.
The article analyzes how DeepSeek’s unexpected success has triggered a strategic rethink across Chinese AI firms, prompting shifts from product‑centric growth to foundational model research, reshaping talent structures at Tencent and ByteDance, and questioning where the true barriers to AGI lie.
This article explains why midsize tech teams often struggle with outdated infrastructure, outlines a ROI‑driven planning framework, presents real‑world case studies of single‑point breakthroughs and team mergers, and offers a step‑by‑step methodology for systematic technology upgrades and sustainable growth.
In Q2 2022 AMD posted over $6 billion in sales, launched its 5 nm Zen 4 CPUs, and announced double‑digit growth across all divisions under CEO Lisa Su, while contrasting Intel’s losses and highlighting the company’s reliance on TSMC’s advanced manufacturing capacity.
The article compares B2B and B2C business models, highlights differences in demand certainty and service‑quality tolerance, and proposes a four‑layer, cloud‑native technical architecture—including container, middleware, business, and low‑code platform layers—to guide B2B system and vision construction.
This article explains the origins, definition, and practical considerations of the mid‑platform (Zhongtai) architecture, comparing it with front‑end and back‑end systems, outlining construction approaches, common pitfalls, organizational impacts, and future trends in a concise, technology‑focused overview.
Alibaba migrated all core e‑commerce systems to the cloud for Double 11, using a phased, cloud‑native approach to overcome legacy challenges, while deploying AI that handled 140 billion operations to personalize the shopping experience, and now plans to integrate 5G, AR and further AI‑driven retail innovations.
JD.com’s R&D team transformed its 618 and 11.11 promotion preparation from a six‑month sprint to a one‑to‑two‑month process by building a unified middle platform that combines component‑based technology and data services, enabling rapid, scalable, and cost‑effective retail operations across multiple scenarios.
This article chronicles the strategic shifts of Baidu, Alibaba, and Tencent over the past decade, analyzing how Baidu’s late entry into cloud storage, its focus on AI, and its unique technical choices allowed it to outlast rivals in the fierce cloud‑storage battles that reshaped China’s internet landscape.
