IBM shares four core principles to lead the enterprise artificial intelligence revolution

(Global TMT November 27, 2023) If 2023 is regarded as the year when artificial intelligence takes the lead in the consumer market, then 2024 will definitely be the year when enterprise-level artificial intelligence takes a drastic step forward. How do business leaders from all walks of life seize opportunities? Li Hongyan, general manager of IBM's data artificial intelligence and automation business in Greater China, published a signed article sharing IBM's views.

The general manager of IBM’s data artificial intelligence and automation business in Greater China is Li Hongyan

IBM believes that for those enterprising companies that are eager to lead the artificial intelligence revolution, they need to seriously consider four basic principles when deciding to start the AI ​​journey. These principles are not only the starting point for the enterprise's AI innovation journey, but may also become a guide to guide the enterprise's AI journey in the future

The first principle: Enterprises must become value creators with leading advantages in AI.

Enterprise-level AI has three different usage or consumption models: one is to purchase application software embedded with enterprise-level AI; the other is to call third-party models through APIs; the third is to use public and private data to create and query your own basic model . In order to maintain a competitive advantage in the field of AI and maximize the positive value of AI, enterprises should actively participate in the creation of basic models. IBM has launched a new generation of AI and data platform Watsonx, which can comprehensively support enterprises in building and adopting credible basic models and generative AI

The second principle is: Enterprises should bet on an open ecosystem

Promoting the AI ​​revolution requires mobilizing the energy and wisdom of the entire ecological community and must rely on an open ecosystem. The cooperation between IBM and Hugging Face is to implement and promote this principle. Hugging Face currently has more than 250,000 AI models open and shared. Incorporating Hugging Face into the IBM WatsonX platform is to help WatsonX customers take advantage of the creativity and diversity of the community.

The third principle: Enterprises should enable AI to "run anywhere" and "run efficiently."

In order for artificial intelligence to perform as it should, enterprises must use open hybrid cloud technology to build artificial intelligence systems so that they can effectively analyze internal and external data. Only in this way can enterprises achieve success in optimizing costs, improving performance and reducing latency. As a large amount of an enterprise's data is distributed across different platforms and systems, including on-premises, private clouds, multiple public clouds, and even the edge, the adoption of open hybrid cloud technology is essential

The fourth principle: While enterprises are rapidly advancing the artificial intelligence journey, they must assume the responsibility of building and deploying artificial intelligence

All enterprises with an "AI innovation engine" must first obtain a "trust" license. IBM released the first batch of Watsonx Granite model series developed by IBM, and announced the details of the Granite model training data set to follow suit

The above is the detailed content of IBM shares four core principles to lead the enterprise artificial intelligence revolution. For more information, please follow other related articles on the PHP Chinese website!