How enterprises are using ChatGPT in digital transformation

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.

Deepening Data Analysis

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:

• Poor response times for large queries.
• Only supports simple text string matching of unstructured data.
• Describes the complexity of structured data queries.
• Difficulty accessing data stored on different platforms.
• Difficulty integrating data due to incompatible key formats and values.

AI chatbots can deepen data analysis by searching for relevant information to identify patterns and insights:

• Respond to more complex queries.
• Handle complex data integration more easily.
• Analyze large amounts of unstructured data such as reports, documents, and web pages.
• Analyze unstructured data.
• Summary text.

Knowledge Management

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:

• Employee turnover.
• Blank spaces in previous project documentation.
• Changing technology.
• The cost of operating a knowledge management system.
• Evolve customer and regulatory needs.

Some enterprises introduce digital transformation into knowledge management in the following ways:

• Promote digital transformation at work to obtain necessary digital data.
• Operations Center of Excellence for various professional groups.

AI chatbots can advance knowledge management by:

• Making internal data easily accessible and searchable.
• Provides excellent references to external resources for most topics.
• Generate new literature on most topics, including a combination of hypotheses and theories that can guide future research.

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 Content, Reports and Software

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:

• Word processors and text editors for reporting.
• CAD/CAM design software.
• Sophisticated editor for images, photos, audio and videos.
• Software Integrated Development Environment (IDE).

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:

• Software Development: A GitHub research project reports that using GitHub Replica can reduce workload by approximately 50% and increase developer satisfaction.
• Photography: Using the text-to-image feature of some AI chatbots can reduce a photographer’s workload from hours to minutes by avoiding travel time.

Improved Diagnostics

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:

• Improve performance.
• Predict failures and reduce unplanned downtime.
• Diagnose root causes more quickly and accurately.

The following issues limit the current diagnostic process:

• The complexity of the required modeling software.
• Maximum data volume and data source.
• Forecasting and data visualization capabilities are insufficient.

Artificial intelligence chatbots can improve diagnosis by identifying:

• Analyze patterns and relationships missed by the software.
• Earlier and faster intervention targets.
• Optimize maintenance schedule.

Improve Customer Service

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.

• Reduce the time spent resolving customer issues.
• Reduce the number of calls handled by call center employee interactions.
• Filter emails, SMS and texts to classify spam from real consumer messages. For legitimate communication, the AI ​​chatbot prepares suggested responses for call center staff.

Improved Forecasting

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:

• Simple models lead to low confidence predictions.
• Limits on the amount of data that can be ingested.
• The decline in data quality has cast doubt on the validity of predictions.

AI chatbots can improve predictions by:

• Using more complex, more realistic models.
• Consider more data sources and longer time series.
• Including data sources, often forecasters do not consider external data.

Reduce the mind-numbing administrative burden

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:

• Improve employees’ work experience.
• Speed ​​up work and improve efficiency.
• Improve processing accuracy.
• Reduce the number of exceptions and errors.

Unfortunately, current transaction processing software is subject to the following limitations:

• Customer and supplier errors.
• Limitations on the complexity of automated processing rules.
• Explanation An error occurred while scanning the document.

AI chatbots can improve transaction processing by:

• Handling complex rules.
• Reduce error rate.
• Increase throughput.

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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