Skip to main content

A Conversation With ChatGPT About Intelligent Automation

Written on 06.

There's much talk and interest about ChatGTP so a conversation was had with it about it's thoughts on Intelligent Automation.  The unedited results of several questions asked to it are below including it's own opinion.

5 minute read

Intelligent Automation ChatGPT Discussion

Intelligent automation helps organizations go far beyond the basic capabilities of digital transformation technologies by bringing insights into events and enabling action on them.  In this conversation with ChatGPT the boundaries were pushed a little further about how one type of AI could see it's benefit being applied to another type of AI.

What Is Intelligent Automation?

Intelligent automation refers to the use of technology, such as artificial intelligence (AI) and machine learning, to automate tasks and processes. This can include tasks that are cognitive, such as decision making and problem solving, as well as physical tasks, such as robots handling materials in a manufacturing setting. The goal of intelligent automation is to improve efficiency and productivity by allowing machines to handle routine and repetitive tasks, while freeing up humans to focus on more complex and value-added work. Intelligent automation systems can analyze data and make decisions based on that analysis, which can help organizations to optimize their operations and make more informed decisions.

Explain intelligent automation in non-technical terms.

Intelligent automation refers to the use of technology, such as software or machines, to perform tasks that typically require human intelligence. This can include tasks such as decision-making, problem-solving, and learning. The goal of intelligent automation is to improve efficiency, accuracy, and speed in the completion of these tasks. It is often used in business and industry to automate repetitive or time-consuming processes, freeing up human workers to focus on more complex or creative tasks.  

What do you like about intelligent automation?

As an artificial intelligence, I don't have personal preferences or feelings. However, I can tell you that intelligent automation can be useful because it allows machines to perform tasks that would be difficult or impossible for humans to do, or to do them more efficiently. This can save time and resources, and make it possible to accomplish tasks that would otherwise be infeasible. Intelligent automation can also help to improve the accuracy and consistency of tasks, as it can perform them with a high degree of precision and without getting tired or making mistakes due to human error.

Why is Intelligent Automation Better?

Intelligent automation can bring a number of benefits to organizations, including increased efficiency and productivity, reduced errors and improved quality, and cost savings.

One of the main advantages of intelligent automation is that it can handle routine and repetitive tasks much more quickly and accurately than humans can. This frees up human workers to focus on more complex and value-added work, which can help to increase overall productivity.

Intelligent automation systems can also help to reduce errors and improve quality by using data analysis and machine learning to identify patterns and make decisions. This can help organizations to optimize their operations and make more informed decisions, which can lead to improved outcomes.

Finally, intelligent automation can help organizations to save money by reducing the need for human labor and by streamlining operations. This can lead to reduced costs and increased profitability.

Overall, intelligent automation has the potential to bring a number of benefits to organizations, making it a valuable tool for improving efficiency and competitiveness.

Who benefits from Intelligent Automation?

Intelligent automation has the potential to benefit a wide range of organizations, including businesses, government agencies, and non-profit organizations.

In general, any organization that uses technology to automate tasks and processes can potentially benefit from intelligent automation. This can include tasks that are cognitive, such as decision making and problem solving, as well as physical tasks, such as robots handling materials in a manufacturing setting.

Intelligent automation can help organizations to improve efficiency and productivity by allowing machines to handle routine and repetitive tasks, while freeing up humans to focus on more complex and value-added work. It can also help organizations to reduce errors and improve quality, and to save money by reducing the need for human labor and by streamlining operations.

Overall, intelligent automation has the potential to bring a number of benefits to organizations, making it a valuable tool for improving efficiency and competitiveness.

What is an example of applied intelligent automation and quantify the results?

One example of intelligent automation is the use of robotic process automation (RPA) to automate routine tasks in a business setting.

For example, an insurance company might use RPA to automate the process of handling claims. By using RPA, the company can program a software robot to handle tasks such as reviewing claims, verifying coverage, and processing payments. This can help the company to handle claims more quickly and accurately, improving customer satisfaction and reducing the risk of errors.

In this case, the results of intelligent automation might be quantified in terms of increased efficiency and productivity, reduced errors, and improved customer satisfaction. For example, the company might see a reduction in the time it takes to process claims, an increase in the number of claims that are processed accurately, and an improvement in customer satisfaction scores.

Overall, intelligent automation has the potential to bring a number of benefits to organizations, making it a valuable tool for improving efficiency and competitiveness.

How would ChatGPT work with intelligent automation? 

ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model, which is a type of artificial intelligence (AI) developed by OpenAI. It is designed to generate human-like text by predicting the next word in a sequence based on the words that come before it.

Intelligent automation could potentially be used in conjunction with ChatGPT in a number of ways. For example, ChatGPT could be used to generate responses to customer inquiries in real time, allowing organizations to provide more efficient and personalized service.

Alternatively, ChatGPT could be used to automate certain tasks within an organization. For example, it could be used to generate reports or documents based on data input, freeing up human workers to focus on more complex and value-added tasks.

Overall, the combination of intelligent automation and ChatGPT has the potential to improve efficiency and productivity by allowing machines to handle routine and repetitive tasks, while freeing up humans to focus on more complex and value-added work. 

What are the essential components of intelligent automation?

There are several essential components of intelligent automation, including:

  1. Artificial intelligence (AI) algorithms: These are used to enable the technology to perform tasks that typically require human intelligence, such as decision-making and problem-solving.

  2. Machine learning: This is a type of AI that allows the technology to learn and improve over time without being explicitly programmed.

  3. Robotic process automation (RPA): This involves using software robots to automate repetitive, rule-based tasks.

  4. Natural language processing (NLP): This allows the technology to understand and process human language, enabling it to communicate with humans and perform tasks such as answering customer inquiries.

  5. Big data: Intelligent automation often involves the analysis of large amounts of data, and technologies such as big data analytics can be used to extract useful insights and inform decision-making.

Overall, the goal of intelligent automation is to improve efficiency and productivity by automating tasks that are time-consuming or repetitive for humans to perform.

How is intelligent automation different than middleware?

Intelligent automation is a broad term that refers to the use of technology, such as software or machines, to perform tasks that typically require human intelligence. This can include tasks such as decision-making, problem-solving, and learning.

Middleware, on the other hand, is a software layer that sits between two systems and enables them to communicate and exchange information. It acts as a bridge between different systems and helps to integrate them.

While intelligent automation and middleware can both be used to improve efficiency and streamline processes, they serve different purposes. Intelligent automation is focused on automating tasks that require human intelligence, while middleware is focused on enabling communication and integration between systems.

What makes a good intelligent automation platform?

A good intelligent automation platform should have the following characteristics:

  1. Scalability: The platform should be able to handle a large volume of data and processes without slowing down.

  2. Integration: The platform should be able to easily integrate with other systems and technologies, such as CRM and ERP systems.

  3. Ease of use: The platform should be easy to use and understand, with a clear and intuitive interface.

  4. Flexibility: The platform should be flexible and able to adapt to changing business needs.

  5. Security: The platform should have strong security measures in place to protect data and prevent unauthorized access.

  6. Support: The platform should have reliable customer support available to help users with any issues or questions they may have.

  7. Cost-effectiveness: The platform should offer good value for money, with a reasonable cost and a clear return on investment.

Overall, a good intelligent automation platform should be able to streamline and improve processes, increase efficiency and accuracy, and be easy to use and integrate with other systems.

 

To make Intelligent Automation come to life for you and talk to a real person about what this can all mean you can find many resources on our blog or contact us directly.  

Elsa Petterson

Elsa Petterson
Partner success manager @ Put It Forward

Related articles
6 Ways Marketers Can Use Machine Learning 6 Ways Marketers Can Use Machine Learning in 2019 We already know that artificial intelligence and machine learning...

Continue reading

7 Steps to AI Closed Loop Marketing - Infographic Sometimes the best blog entry is an infographic, more pictures - less words is a good thing right? ...

Continue reading

AI For Predictive Analytics: Actionable Future Insights AI is everywhere in the modern world, from 77% of the connected devices we use every day to approximately...

Continue reading

Artificial Intelligence vs. Intelligent Automation. What's the Difference? Around the world, forward-looking organizations are embracing artificial intelligence...

Continue reading

Centralized AI - The Mind in the Middle Written by: Mark Cowan - CEO, Put It Forward May 30, 2019 Do little bits of smart make a lot of smart?  Leveraging...

Continue reading

A Conversation With ChatGPT About Intelligent Automation Written on 06 January 2023. There's much talk and interest about ChatGTP so a conversation was had...

Continue reading

Data Integration with Context Written by: Mark Cowan, CDO, Put It Forward 17 January 2019. Data integration is no longer about connecting one system or application...

Continue reading

Everything You Need to Know About Snowflake Data Integration Snowflake's data cloud solution has already been adopted by over 4,000 organizations. It's one...

Continue reading

How Householding Customer Data Unlocks Personalization At Scale Problem: Generalized messaging across customer groups where no obvious linkages exist is...

Continue reading

Leveraging API Integration as Part of Digital Transformation The digital transformation is rapidly gaining momentum in today’s world. And companies are increasingly...

Continue reading

How Put It Forward Helps to Integrate Sitecore XM Across the Enterprise Put It Forward Sitecore XM™ connectors help deliver great integrated customer experiences...

Continue reading

IT Guide: How to THRIVE in 2019 Written by:  Mark Cowan, CDO, Put It Forward 23 January 2019. We work with IT teams every day and have seen that 2019 is...

Continue reading

Intelligent Automation vs. RPA – How Do They Differ? RPA leverages software bots that mimic human activity in completing repetitive tasks like filling in digital...

Continue reading

Key Differences Between Predictive Analytics and Data Mining In the last decade, big data has become the lifeblood of business organizations across the globe....

Continue reading

Process Automation vs. Orchestration: What's the Difference? With the increasing workloads, a successful business requires more automated processes with lower human...

Continue reading

Real-Time Data Integration Best Practices and Architecture Article Summary Real-time data integration is increasingly becoming the new gold standard in data...

Continue reading

Robotic Process Automation (RPA). Benefits, Risks and Implementation Advice Today’s business environment has a tendency to go through rapid and often elusive transformations...

Continue reading

Drinking Your Own Champagne - Scaling by Automation and Smart AI Insights How to Punch Above Your Weight and Still Be Cool It’s been said that success leaves...

Continue reading

5 Keys to Successful Data Governance in Snowflake Over 4,000 organizations have adopted Snowflake's data cloud. It's a safe, easy place to externally place business...

Continue reading

10 Tips on Improving Your Big Data Analytics Are you looking to improve the amount and the reliability of your big data analytics outcome? Are you unsure of...

Continue reading

7 Reasons Why Organizations Need an Integration Solution 38% of businesses struggle with manual data coding, and 32% have issues with connecting multiple data...

Continue reading

Put It Forward’s Top Strategic Data Technology and Market Trends for 2021 Put It Forward’s Top Strategic Data Technology and Market Trends for 2021 Cross cloud...

Continue reading

Vendor Roadmaps:  What You Need To Know Written by:  Mark Cowan, CDO, Put It Forward 22 January 2019. The more information you can get about vendor intentions,...

Continue reading

What Is a Data Platform? In an enterprise, seeing and storing data is not enough; understanding it is the key to extracting insights that can increase business...

Continue reading

What Is Data Integration? In our modern age, few things are as valuable as access to the right data at the right time. Data access and integration have given...

Continue reading

What is Predictive Analytics: Benefits, Types and Tools Made Easy  Executive Summary Predictive analytics uncover and unlock meaning within an organization’s...

Continue reading

What Is Intelligent Automation And How To Make It Work Executive Summary Intelligent automation automates non-routine processes and tasks that require some...

Continue reading

Why IT Organizations Invest in AI Automation Written on 21 February 2023. The last few years have seen an exponential increase in practical use...

Continue reading