Generative AI & ChatGPT in Business Settings

The term “generative AI” refers to a new class of Natural Language Processing (NLP) foundational models, such as the OpenAI ChatGPT and DALL-E, the Google BARD chatbot, the ERNIE Artificial Intelligence (AI) model from Baidu, and others.

With the help of these models, users can create text and code, make predictions and summaries, translate across languages, analyze photos, and more by drawing on a range of data sources, including the Internet.

Regarding the ability of OpenAI’s ChatGPT and other generative AI models to automate business procedures and boost productivity in corporate settings, Infor is cautiously optimistic.

For example, Infor believes that ChatGPT and other Generative AI models could be used for writing emails, reports, product documentation, and web content, creating job descriptions and requisitions, comparing products and vendors, and putting together images, music tracks, and videos for marketing campaigns.

However, before ChatGPT and other Generative AI models are widely adopted in corporate settings, there are a number of issues that must be resolved. For instance, human control and moderation will be necessary for a while to improve the consistency and accuracy of the information generated, assist in reducing socio-political biases, and make sure a company’s competitive edge is not weakened.

Additionally, the creation and sharing of information that is special to businesses must abide by stringent legal and data protection regulations, such as when businesses do a Data Protection Impact Assessment (DPIA) to ensure compliance with the General Data Protection Regulation (GDPR).

Moreover, open AI models are made available as APIs for users to access with their own credentials. Customers can register these APIs in Infor’s API gateway and create bespoke extensions on top of them from the Infor cloud thanks to Infor’s open technology platform, Infor OS. For instance, using Infor’s own chatbot, you may quickly create a bespoke skill to communicate with Open AI. Or you can use an in-context widget on our Infor site to search publically accessible data on goods and suppliers.

We strongly suggest that any such interactions be put through Open AI’s moderation filters. It’s also vital to remember that the understanding of this model at this time is based on data up to 2021.

Without a doubt, computing and artificial intelligence are at a turning moment. While we anticipate that our clients will quickly adopt this potent technology, we also hope they are aware of the possible hazards, errors, and privacy issues associated with using it. Consequently, it won’t be long before the field of “generative AI” develops and solves such issues.

Additionally, Infor is looking into how ChatGPT and other generative AI models, offered in conjunction with Amazon Web Services (AWS), our preferred infrastructure partner, might enhance our current NLP solutions and AI ensemble. With our Infor Coleman digital assistant, voice chat capabilities, Coleman AI platform machine learning (ML) models, and AWS enterprise search and picture recognition capabilities are just a few of these options.

Consumers are already using ChatGPT and other generative AI models to improve their search results, automate the production of content, and increase their own productivity.

These models also have the ability to change company environments by streamlining the creation of code and content, automating end-to-end business processes, and increasing employee satisfaction and productivity.