Table of Contents
How can ChatGPT be used in supply chains?
How should supply chain leaders view ChatGPT?
What issues do critical supply chains have with generative AI?
Home Technology peripherals AI Application prospects of ChatGPT in supply chain

Application prospects of ChatGPT in supply chain

May 27, 2023 pm 07:13 PM
AI chatgpt supply chain

Craig Summers, general manager of IT solutions provider Manhattan Associates, analyzed and discussed how enterprise CIOs and chief information security officers should view ChatGPT's potential to improve supply chains.

Application prospects of ChatGPT in supply chain

ChatGPT has become one of the hottest topics in various industries in 2023. This is because the whole world is interested in how this artificial intelligence technology will play a role in people's work and life. The character you play is curious, and there's some uncertainty involved.

ChatGPT is a so-called "large language model" trained by OpenAI, an artificial intelligence research lab founded in 2015 by a group of technology leaders including Elon Musk, that uses machine learning Algorithms to understand and generate human-like responses to questions and prompts.

Due to uncertainty about the application prospects of ChatGPT in the supply chain, industry media interviewed Craig Summers. Here are his thoughts on the impact ChatGPT could have in the supply chain world:

How can ChatGPT be used in supply chains?

Summers: Why is ChatGPT so important for supply chains? When people ask the chatbot itself When asked this question, it answers: "ChatGPT can be a useful tool in the supply chain, helping to automate processes, provide insights, and facilitate communication and collaboration between different stakeholders." In essence, this does not wrong.

Gartner analysts believe that since this kind of artificial intelligence application adopts a self-learning method, its application in supply chain is still some way off.

ChatGPT collected more than 570GB of data and more than 300 billion words from all corners of the Internet for training. It has a huge data lake to learn from, but when it comes to a single supply chain, the situation is not necessarily the same. in this way.

Supply chain models are very complex and specific to each company, which is why it may be another 10 years before generative AI enters mainstream supply chains.

How should supply chain leaders view ChatGPT?

Summers: Although ten years is a long time, especially in the technology field, the more pressing issue now is that supply chain leaders Will readers be able to sit back, wait, and see or understand if generative AI disappears or fades away?

In addition to the technical issues with generative AI in supply chains or any other industry, there are also legal and ethical issues.

For example, can a company get credit for content generated by a chatbot? Or, how should people share work generated by artificial intelligence?

Ethics aside, many CIOs and One question technology officers will ask themselves is, "Should their company invest in this type of technology?" Because analysts predict that these technologies are unlikely to be in practical use before 2030.

What issues do critical supply chains have with generative AI?

Summers: I think it’s this: Why aren’t people exploring generative AI applications?

ChatGPT introduces businesses and consumers to a completely different class of tools, exposing the power and potential of artificial intelligence to everyone, and it has a democratizing effect.

Tech leaders who fail to get their application development teams thinking about how to apply generative AI are likely to put their companies at a long-term disadvantage.

This could be the quality that makes ChatGPT truly transformative for businesses of all sizes, not just in the supply chain.

This isn’t necessarily about the current applications of generative AI, but how it could fundamentally change the way people think about what the future might hold.

People are moving from menu-driven point-and-click interfaces to more natural conversational interfaces.

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