Note:
This topic has been translated from a Chinese forum by GPT and might contain errors.
Original topic: 【TiDBer 唠嗑茶话会 121】畅谈 AI 入局分布式数据库的使用场景探索!你觉得目前企业对 AI 的投入更倾向于探索型还是刚需型?
After the global popularity of ChatGPT, the development trajectory of artificial intelligence (AI) technology and applications has undergone significant changes. The interaction process between humans and AI has accelerated, and AI technology is gradually entering various industries. In the field of databases, what kind of sparks can AI technology and distributed databases create?
This Topic:
Discuss the exploration of AI entering the usage scenarios of distributed databases! Do you think enterprises’ current investment in AI is more exploratory or essential?
Let’s see how community members are approaching AI 
Participation Rewards:
Participate in the discussion and earn 30 points & experience!
Event Duration:
2024.6.7 - 2024.6.14
It should be for cost reduction and efficiency improvement.
Introduce AI to create an intelligent database and reduce operation and maintenance management costs.
AI makes databases run smarter and more intelligently over time.
AI can indeed reduce the workload and improve work efficiency. There is still a high demand for it.
Exploration is relatively better.
Optimizing existing business, improving efficiency, and enhancing competitiveness through AI technology will become an inevitable choice for enterprise development.
In a world of material abundance, liberating humanity requires the support of AI.
I believe AI is a necessity. The workload for many jobs is so immense that it’s hard to imagine managing without AI. AI also brings many possibilities. Embracing AI technology is an inevitable choice for enterprises.
Exploration and Rigid Demand in Parallel
Currently, it is mainly exploratory. There are some essential needs in certain areas, but they are not significant… In about 2 years of development, it is expected to have a qualitative leap.
Just-in-time needs and exploration, currently still primarily focused on exploration.
Most of it is just following the trend.
AI is still in its early stages.
Let’s explore it for now.
Looking forward to leapfrog development
Mainly exploration, once matured it will become a necessity.