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Digital transformation is about using technology to change the way a business operates and delivers value to customers. It’s not just about how to adopt new technologies or tools. Success requires a fundamental change in culture and mindset.
How does ChatGPT help enterprises? From data analysis to knowledge management to customer service and more, artificial intelligence chatbots can promote the digital transformation of enterprises.
Artificial intelligence chatbots can quickly and accurately analyze large amounts of data from different sources. ChatGPT is a valuable digital transformation tool for engineers who need to query, process and interpret large amounts of structured and unstructured data that exceeds Excel's processing and management capabilities.
AI chatbots overcome the limitations of current data analysis tools, including:
AI chatbots can deepen data analysis by searching for relevant information to identify patterns and insights:
Engineers recognize the value of knowledge management to more rigorously apply lessons learned from one project to the next. They also understand the issues they face, including:
Some enterprises introduce digital transformation into knowledge management in the following ways:
AI chatbots can advance knowledge management by:
ChatGPT has sparked a debate about the future of knowledge management. Some believe that AI chatbots will eventually allow knowledge management to be taken more seriously and become more widely adopted. Others believe that AI chatbots will eliminate the need for knowledge management methods and principles because AI chatbots will make more knowledge easily accessible.
Writing reports, speeches, social media content and software is always a creative process that is human-made. Likewise, engineers even complete design work manually using large-scale drawings.
Engineers and many others underwent rapid digital transformation of these tasks with the introduction of:
Artificial intelligence chatbots are now taking this digital creative work to the next level, they can generate social media content, reports, designs, software, graphics based on a summary text input of the required content and video.
Although AI chatbot products still require adjustments and corrections by professionals, AI chatbots have significantly reduced the related work. Two early examples are:
Artificial intelligence chatbots can quickly and accurately analyze large amounts of diagnostic data from Industrial IoT sensors. This capability is a valuable digital transformation application for engineers who analyze machinery performance data to:
The following issues limit the current diagnostic process:
Artificial intelligence chatbots can improve diagnosis by identifying:
Artificial intelligence chatbots can understand and process natural language processing input called prompts to engage in conversational communication with engineers. This capability could digitally transform the call centers run by many businesses.
Artificial intelligence chatbots can be the foundation for a more powerful chatbot or virtual assistant. By more competent, I mean generative question answers that are more specific to the business domain and customer problems.
Many people have been disappointed with current chatbots and call centers. Disadvantages of chatbots include simple answers and long, uncertain conversations. Call center problems include navigating complex interactive voice response menus, reading lengthy answers to frequently asked questions, or waiting long hours for a customer service representative to respond.
Artificial intelligence chatbots can improve customer service by:
Increase customer satisfaction by providing more targeted and correct answers.
While it’s difficult to predict future developments, digital transformation can help engineers take the guesswork out of guesswork and narrow the confidence intervals around various possible future scenarios.
Artificial intelligence chatbots can overcome the limitations of current forecasting software. These limitations include:
AI chatbots can improve predictions by:
Many companies still handle many daily administrative tasks manually, and engineers are always busy solving problems or correcting errors. As a step towards digital transformation, some businesses have implemented robotic process automation:
Unfortunately, current transaction processing software is subject to the following limitations:
AI chatbots can improve transaction processing by:
AI chatbots’ capabilities in natural language processing, knowledge management, data analysis, diagnostics, and automation make them valuable assets for businesses looking to enhance their digital transformation efforts.
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