INSIGHTS
Expert-led analysis and practical guidance on enterprise AI adoption, AI agents, technology strategy, and digital transformation from KNOWVERSE.
Knowverse Insights
Among the 77 AI short‑form dramas that have recently emerged in China, only one has broken even within six months. The remaining 98.7% have incurred losses. Doesn't that seem odd? Thanks to AI, production costs have dropped to one‑tenth of those for live‑action. The per‑minute production cost has fallen to between 160,000 and 240,000 won, yet even at that low price …
Today, I’d like to introduce a post from Uber’s engineering blog. Since the recent adoption of AI, many people have said, “I’m not sure about productivity, but the bill scares me.” This article is helpful for those folks. The title is “Running a Software Factory Efficiently at Uber…”.
This is a LinkedIn post recently shared by George Sivulka, the founder and CEO of Hebbia. For CEOs who are fast followers and for anyone leading AX transformation within their organizations, the content is especially relevant, so I’ve summarized the main points and am sharing them.
These days, the five-member girl group “RESCENE” is generating a lot of buzz in the music industry. I don’t view this merely as a typical idol success story.
McKinsey has begun deploying AI-enabled laptops in its entry-level interviews.
These days, there seem to be two types of people when it comes to AI. One side blindly believes that “AI will soon replace humans.” The other side downplays it, saying “AI can never truly think.” I consider both positions dangerous because they share a common flaw: they don’t understand how AI works.
A good strategy starts with a clear understanding of your current position. As the head of an IT strategy team at a large enterprise, I’ve developed the habit of deploying radars everywhere and collecting and organizing various news and information each day. Today, I’d like to discuss Chinese AI.
These days, there’s a scenario we often see in the corporate setting.