ChatGPT in Action 

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Posted: August 2, 2023
Mark Palmer
Last Updated 21st October 2024
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"Slack launched a ChatGPT bot summarising new messages in a thread. This feature is still in beta, and companies need to join a waitlist before accessing it."

ChatGPT in Action 

Chris Ellis, Pre-Sales Director at Nintex - https://www.nintex.com/

 There is a lot of hype in the IT industry about artificial intelligence (AI) right now, and one system in particular has dominated the media coverage – OpenAI’s ChatGPT. Now, Microsoft’s AI integration into its Teams products provides insight into the growing proliferation of AI in everyday work.  

 

Open AI’s ChatGPT technology - which attracted investment by a group of investors, among them Microsoft - is a large language model (LLM) with natural language processing (NLP) capabilities. It has been trained on a massive dataset of text to generate human-like responses to various queries and prompts. There is increasing interest in tools such as ChatGPT, with a recent study showing that 43% of individuals were using AI tools like ChatGPT for work-related projects.  

 

ChatGPT can be an awesome tool to expedite and facilitate non-complex work processes. But like any other tool, it requires organisations to learn how to implement it before it can bring substantial productivity gains. A barrier to leveraging tools, such as ChatGPT, to their full potential is not knowing where and how they can be applied in a professional environment. 

 

Here are five applications of ChatGPT in the workplace that could revolutionise business processes.  

 

  1. Elevating Customer Service

 

Offering comprehensive, human customer service can be expensive, but relying on automated responses can result in a bad customer experience that hurts businesses’ brands. In fact, in a recent survey, 30% of respondents stated they would abandon a purchase with a brand following a negative experience with a chatbot. 

 

Using AI-powered tools can help small businesses elevate their customer service without significant costs. That is because ChatGPT learns and adapts with each conversation, meaning it will only get more effective at answering customer queries over time.  Additionally, ChatGPT can be connected to internal databases to allow it to respond to organisation-specific requests without the need for human intervention.  

 

  1. Language Accessibility 

 

Operating in different regions, languages, and cultures is becoming indispensable for modern businesses looking to grow. Yet, existing translation technologies lack the contextual comprehension necessary to produce high-quality text. These older methods especially fall short when it comes to translating long-form materials.  

This is where ChatGPT comes in. The tool has been trained on a large corpus of text in different languages and can pick up on some cultural and language nuances that are important to communicating effectively. This can accelerate time-to-market, especially for developers and other technical talents. AI tools can help critical teams save an immense amount of time, effort, and expense to launch their work globally. 

 

  1. Summarising Key Information 

 

Shifting to a hybrid working model has meant employees rely on email and other work messaging platforms to correspond with their colleagues and collaborate with clients. This has resulted in work correspondence stealing time away from employees. Microsoft’s 2023 Work Trends Index shows that an average employee spent 57% of their time using office software for communication. Leveraging AI tools to streamline workplace communication is becoming a far more accessible way of driving greater information flow. 

 

For example, Slack launched a ChatGPT bot summarising new messages in a thread. This feature is still in beta, and companies need to join a waitlist before accessing it. However, organisations can leverage ChatGPT’s API to integrate the AI tool into their own workplace productivity solutions. 

 

When incorporated with Word or Outlook, ChatGPT can effectively summarise and deliver key information from messages, reports, or emails.

It can take key actions from an email and place them into workflows. As a result, users can spend more time creating value for their companies rather than catching up and responding to correspondence. 

 

  1. Content Creation

 

ChatGPT can also be leveraged for content creation. For example, it can write email responses to reports or create external-facing online content. While users will still need to edit thoroughly and fact-check AI-generated content, AI can be used to speed up routine writing responsibilities and brainstorm content ideas. 

 

Technical employees, such as marketing teams, will find this capability especially handy. In recent years, all roles have been tasks with some degree of creative writing, whether it is for internal marketing, client communications, or writing a blog for the company’s website. ChatGPT can be a dependable partner to greatly alleviate that burden and, sometimes, remove it altogether.   

 

  1. Code validation

 

ChatGPT supports coding much like it supports writing. In response to user prompts and parameters, the tool can generate code snippets and even validate code. From workflow builds to suggestions, ChatGPT can kick off, review, and improve code without the need for extensive coding knowledge. This is great news for DevSecOps teams.   

 

AI-powered tools can be used by citizen developers, who have great ideas or insights but have little or no technical training, to drive technological innovation within businesses. ChatGPT is a crucial tool to facilitate the work of citizen developers and help them to achieve coding goals that were once beyond their reach.    

 

ChatGPT is a great way for companies to get accustomed to how AI can be practically applied in the workplace to create value for their customers and business.   

 

By integrating ChatGPT into business systems and workflows, companies can significantly improve their processes. In this article, we discussed the top five use cases for ChatGPT, but as this technology continues to develop, the possibilities are endless. For AI tools to yield success, organisations also need to increase their visibility into workflows and identify what AI applications serve them best. 

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