Cyberwisdom Enterprise AI Blog

By Wendy Yeung General Manager, Knowledge Management and Instructional Design; Chief Enterprise Extraction and Mining Officer, Deep AI Consulting, Cyberwisdom Group Let's cut to the chase: For decades, insurance agent training has been stuck in a loop. New hires sit through PowerPoint decks on policy terms, shadow senior agents for a few weeks (hoping to absorb something), and then get thrown into client calls—where they freeze when a prospect says, "Why should I pay more for

Compliance training has long been the "check-the-box" chore of corporate learning. Employees sit through hour-long videos on anti-bribery rules, skim PDFs of data privacy laws, and take multiple-choice quizzes that reward memorization over understanding—only to forget 80% of what they learned within a month. When a real compliance risk hits—like a client asking for a "discreet" kickback, or an employee accidentally sharing customer data via unapproved email—they freeze. Tradi

Congratulations to every Learning & Development (L&D) professional! Amidst the wave of Human-Machine Capital (HMC) sweeping through enterprises, you are no longer confined to the traditional "support role responsible for employee training." Instead, you are poised to ascend to the "talent strategy high ground" of the AI era—where the future AI elite will emerge from among you. The value of traditional L&D has often been limited to the execution level of "organizing training a

By Wendy Yang 20-Year HR Expert | Enterprise AI Director | Human Machine Capital (HMC) Strategist, Cyberwisdom Group Workday's $1.1 billion acquisition of Sana Labs—an AI firm specializing in enterprise knowledge management and employee training tools—is far more than a tech upgrade to its Illuminate platform or a bid to enhance AI agent capabilities. From the Human Machine Capital (HMC) perspective—my core focus as a strategist—it represents a pivotal shift: moving beyond t