As the competition in large model development enters its second half, Ant Digital has officially sounded the call to enter the deep waters of industrial digitalization. On the evening of February 3, Zhao Wenbiao, CEO of Ant Digital, issued a company-wide letter announcing the establishment of a new "Large Model Technology Innovation Department." This move marks Ant Digital's focus on building foundational large models and industry-specific models for To B scenarios.
According to AIbase, this department will work closely with related teams within Ant Group, with the core mission of addressing the commercialization path of the "Bailing Large Model" in the enterprise market. Zhao Wenbiao is confident about this, pointing out that the intelligent agents built by the company over the past year have been running stably in real production environments in financial institutions, which not only verifies market demand but also establishes Ant Digital's first-mover advantage in the enterprise-level AI service sector.
As a technology-driven leader, Zhao Wenbiao holds dual doctoral degrees and once built the intelligent risk control system for Alipay. Under his leadership, Ant Digital has achieved full service coverage for 100% of state-owned joint-stock banks, focusing on key areas such as energy, transportation, and manufacturing. This organizational restructuring aims to push AI research from the laboratory into complex industrial sites, providing new digital solutions for large-scale intelligent collaboration through technical reserves such as blockchain consensus, AI security, and trusted computing.
Key Points:
🏗️ New Organizational Structure: Officially established the "Large Model Technology Innovation Department," dedicated to developing foundational and industry-specific large models for To B scenarios.
🎯 Commercialization Efforts: Deeply collaborate with Ant Group to promote the deployment and global commercialization of the "Bailing Large Model" in the enterprise market.
📈 Practical Orientation: Based on practical experience accumulated in multiple fields such as finance and energy, it is committed to solving the challenges of intelligent collaboration in complex industrial environments.
