ChatGPT is changing intelligent automation and RPA

Chat Bot in RPA/Automation

Everything you need to know about ChatGPT and how ChatGPT is changing intelligent automation and RPA.

What is ChatGPT?

You can’t talk about ChatGPT without talking about GPT, or Generative Pre-Trained Transformers, which is a type of Large Language Model (LLM).  GPT refers to a family of machine learning models developed by OpenAI. GPT models, like GPT-4, are based on the transformer architecture, which is a deep learning model primarily used for natural language processing (NLP) tasks.

GPT models are “generative” because they are designed to create human-like responses by predicting the most likely next word or sequence of words in a sentence without losing context. GPT models are pre-trained on large amounts of publicly available text from the internet, allowing them to learn the statistical patterns, grammar, and contextual relationships between words. This pre-training helps the models to acquire a broad understanding of language and context.

Chat GPT Self-attention Model

GPT models (and Large Language Models) use a Transformer architecture, which is a method in artificial intelligence that teaches computers to process data like the human brain (also known as “neural networks”).  Transformer models excel at handling sequential data, such as text, and employ self-attention mechanisms to capture relationships between words and encode them into contextualized representations.

Once pre-training is complete, GPT models can be fine-tuned on specific tasks, such as text completion, translation, summarization, or question-answering, by providing them with task-specific training data. The models use a technique called “unsupervised learning” during pre-training and then transition to “supervised learning” during fine-tuning.

GPT models have achieved significant advancements in various Natural Language Processing (NLP) tasks, demonstrating their ability to generate coherent and contextually relevant text. They can be used for a wide range of applications, including chatbots, content generation, language translation, virtual assistants, and more.

Overall, GPT models are highly flexible and powerful language models that have gained significant attention due to their ability to understand and generate human-like text in a wide range of contexts.

So, what is ChatGPT?

ChatGPT is a chatbot powered by an Artificial Intelligence (AI) model that was developed by OpenAI.  The ChatGPT chatbot is accessible from a website, where you can engage and converse (via typing) with an AI model and get instant responses to your questions.  Where Google search will give you results to questions by connecting you with relevant websites, ChatGPT will give you the answers to your questions.  ChatGPT will also allow you to follow-up on your questions with additional questions, keeping your entire history of questions and responses relevant to the subsequent questions.

ChatGPT launched in December 2022, with GPT-3.5, which was trained on 175 billion parameters, whereas ChatGPT-4 is estimated to be trained on 1 trillion parameters.

OpenAI is an American company, founded in 2015, as a non-profit, open-source company, by a large group of Artificial Intelligence scientists and investors.  OpenAI has transitioned from a not-for-profit company to a for-profit company and has a partnership with Microsoft, as its primary investor, investing over $1 billion with an additional $10 billion committed to OpenAI for further research and development.

How should questions be asked to ChatGPT?

  • Keep it simple. Ask straightforward questions.
  • Be specific. Include specific details with your questions.
  • Use keywords. Use specific keywords in your questions to help refine the results.
  • Refine questions and regenerate. ChatGPT allows you to regenerate responses if you want ChatGPT to write another response.  Alternatively, if ChatGPT is not returning the desired response, try asking the question with an alternative approach.

What can ChatGPT be used for?

  • Brainstorming and ideation.
  • Get personalized recommendations.
  • Understand complicated topics.
  • Use as a writing assistant.
  • Summarize research.
  • Assistance with coding and debugging.
  • Translate text from 95 different languages.
  • Create multiple choice questions on a variety of topics and varying difficulties.
  • Get assistance with travel plans, such as restaurants, cultural attractions, flights, and more.
  • Analyze sentiment and tone for positive, negative, or neutral.
  • Find data sets for research, business intelligence, training machine learning models, and more.
  • Train ChatGPT on your own data.
  • Interview preparation and job preparation.
  • Write songs, poems, and stories.

How can ChatGPT be used in RPA/Automation?

ChatGPT can be used in Robotic Process Automation (RPA) in several ways to enhance automation capabilities and improve the interaction between bots and users. Here are a few examples:

  1. Improved solution design. ChatGPT can be used to help explore and consider alternative technologies.  Recently, we worked with a client that was capturing personal information in an Excel form.  We are experienced enough to identify this is not a secure or compliant process to automate as-is, so we suggested and agreed with the client to build a web-based form.  We have seen too often that RPA firms will just automate the as-is process without consideration for best practices, security, or compliance, so process owners, subject matter experts, and RPA CoEs can consider ChatGPT for improving their solution design capabilities.
  2. ChatGPT can help write Excel Marcos, Excel Formulas, Regular Expressions (RegEx), SQL Queries, Python, JavaScript, C++, C#, HTML/CSS, R, Ruby, Java, and more.  You can also use ChatGPT to summarize the code into human language to help with business process owner reviews to ensure the coding is meeting the requirements of the business case.
  3. Intelligent Chatbots. ChatGPT can be integrated into chatbot frameworks used within RPA systems. These chatbots can understand natural language inputs from users and provide context-aware responses, allowing for more intuitive and conversational interactions.
  4. Data Extraction and Validation. ChatGPT can assist in extracting and validating data from unstructured sources such as emails, documents, or web pages. By training the model on specific data extraction tasks, it can automate the process of understanding and extracting relevant information accurately.
  5. Process Documentation and Training. ChatGPT can be used to generate process documentation or training materials by converting technical information into easily understandable language. This can be beneficial for onboarding new employees or documenting complex workflows in a more user-friendly manner.
  6. Exception Handling and Error Resolution. In complex RPA workflows, exceptions and errors can and will occur. ChatGPT can help identify the nature of the issue and suggest appropriate actions for error resolution. It can also provide real-time troubleshooting assistance, reducing the need for human intervention.
  7. Workflow Optimization and Decision Making. ChatGPT can analyze large sets of data and provide insights for optimizing RPA workflows. By processing and interpreting data from various sources, it can make intelligent recommendations for process improvements, resource allocation, or decision making.
  8. User Support and Self-Service. ChatGPT can handle user queries, provide assistance, and offer self-service options within RPA systems. It can guide users through various tasks, answer common questions, and help troubleshoot issues, reducing the need for manual intervention and improving user experience.

It’s important to note that while ChatGPT can enhance RPA capabilities, it’s crucial to consider its limitations and ensure appropriate safeguards are in place to handle scenarios where the model may provide incorrect or misleading information.  We find that ChatGPT is very good on common knowledge, but abstract thinking is still rudimentary in some areas.  ChatGPT is still evolving and growing, so many of these limitations will continue to be resolved.



  1. Open AI: OpenAI is an AI research and deployment company
  2. The Best Examples Of What You Can Do With ChatGPT
  3. Image Source: Cheng et al., 2016.

Talent as a Service (TaaS), the new model in Talent Acquisition

Talent as a Service - Vigilant
Talent as a Service – Vigilant

Talent as a Service (TaaS), the new model in Talent Acquisition

Talent as a Service (TaaS)

Advancements in Cloud technologies created the opportunity for concepts like software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). These “services” concepts are designed to offer cost optimization, speed, agility and scalability. Talent as a Service (TaaS) is a new model in talent acquisition that disrupts the traditional workforce staffing by borrowing concepts from the gig economy and introducing a unique approach to crowd sourcing open roles.  With staffing shortages brought on by COVID-19, traditional staffing models are no longer an option

What is TaaS?

Talent as a service (TaaS) is a flexible staffing model that provides businesses access to hire high-skilled, experienced staff, on-demand.  Vigilant offers TaaS for a specific duration and purpose (e.g. projects) or as a way to leverage a talent to support a role function (managed service).

Be wary of TaaS providers using the TaaS concept to rebrand contract staffing and placement, which retains the same limitations of the staffed contractor, which includes limited experience, lack of ownership, and does not share consideration or importance for building a long-term partnership.

Why Vigilant TaaS?

Skills on Demand

Businesses are often faced with limitations of capacity or lacking a specialized skill to complete critical business initiatives.  TaaS empowers businesses to deliver key projects with on-demand talent to keep organizations agile and adaptable to today’s rapidly shifting markets.

Cost Optimization

With Vigilant TaaS, you only pay for the services you use. You on-board our staff for the mutually agreed duration then release the manpower when the term or project completes. It is that simple.  Vigilant TaaS is a great way to control your staffing costs and eliminating other benefits such as health insurance and bonuses.

Flexibility and Scalability

Vigilant TaaS enables on-demand access to talent to give you the flexibility to scale teams up and down, to meet your business needs.  With Vigilant TaaS, you now can adapt to changing priorities, without missing out on opportunities.  Vigilant TaaS is like having your cake and eating it too.


The COVID-19 pandemic has completely changed how we work and live our lives.  The pandemic has created market shifts we have never seen before in our lifetimes that are happening in rapid-fire succession.  Businesses are having to react and adapt in real-time to keep up with the market shifts.  Organizations are having to make decisions between short-term needs and long-term strategies.  Vigilant TaaS eliminates the “either / or” decision by rapidly deploying talent to meet all of your business needs.


Vigilant is a full-stack technology professional services firm.  We leverage One Vigilant, to put the strength of our 300+ employees behind every project or function we support.  The collective knowledge ensures we are leveraging the right solutions by maximizing the best technologies to support businesses reaching their goals.  The strength of Vigilant also allows businesses looking to employ new technologies, such as AI, Blockchain, Analytics, or other unique skill to have access to talent to explore these new technologies.

Thank you for reading.

Learn more about Vigilant’s TaaS (Talent-as-a-Service) Offerings

Industry 4.0: How Vigilant is leveraging today’s technology to revolutionize manufacturing

Industry 4.0 manufacturing

Industry 4.0 for Manufacturing – A Paradigm Shift 

The Fourth Industrial Revolution, or Industry 4.0, is the transformation cycle that changes the way manufacturers use technology to rapidly improve the manufacturing and distribution of goods. Where Industry 3.0 brought computerization to manufacturing, Industry 4.0 enhances and optimizes the computerization of the supply chain. 

Manufacturers are looking to use digital data to identify efficiencies and deficiencies across the supply chain by incorporating digital technologies, such as AI and machine learning, Internet of Things (IoT) devices, and cloud and cognitive computing, and advanced analytics. These “smart factories” are using the technology as a paradigm shift to innovate and evolve supply chains to become smarter, execute faster, with velocity, and scale to the demand, on demand.  

Industry 4.0 engages digital technologies to tighten the processes across an organization that supports the supply chain, through internal processes and business partners, and key external business partners in the value chain. The digitization of data will help manufacturers refine products and services in (near) real time and quickly adjust to the customer’s needs and wants.  

Key Technologies Driving Industry 4.0 

  • Internet of Things (IoT) are physical sensors that capture inputs and outputs to connect and exchange data with other devices and systems. For example, a smoke detector can connect with your HVAC controller, so when a smoke alarm is triggered, it automatically shuts off the HVAC system to help minimize damage. 
  • Cyber-Physical Systems (CPS) is a computer system that monitors and controls a network of interacting elements by using sensors and robotics to obtain inputs and outputs. An example of CPS is how sensors read traffic patterns on highways then instruct on-ramp traffic lights to accelerate or slow incoming traffic to the roadway.
  • Cloud Computing is where digital data is stored and analyzed. Cloud computing eliminates the need for physical servers and allows manufacturers to scale their computing needs, up or down, on demand.
  • Cognitive Computing refers to a broad set of hardware and software technologies that mimic human systems (sensory, memory, analytical). Technologies include Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), reasoning, speech recognition, and visual object recognition. Predictive maintenance is one of the biggest opportunities that came from cognitive computing, which keeps the manufacturing lines open with less unexpected down time.
  • 3D Printing has enabled manufacturers the flexibility to create products on demand, which reduces warehouse costs and allows for customized products. Manufacturers can also create their own spare parts locally, which improves supply chain up time and reduces dependence on 3rd party support service providers. 
  • Data Analytics is the transformation of raw data into actionable insights and trends. After large amounts of data are captured from sensors and connected devices into data lakes and data warehouses, visualization and analysis tools are applied to help manufacturers improve the speed and accuracy of their decision making.

Advantages of a smart (Industry 4.0) manufacturing approach 

  • Improved customer satisfaction: Smart Industry 4.0 manufacturing provides decision-makers with access to (near) real-time accurate data, which supplies leaders with the ability to measure and assess key performance indicators (KPIs) to adjust and adapt to trends that align with customer needs, in real time. 
  • Increased quality: Adding digital technology to manufacturing expands the data analysis of process inputs, outputs, and execution to reduce the chance of human error and failure. Digital data allows manufacturers to monitor process and performance in real time, to increase output and use resources more efficiently. 
  • Lower operational costs with predictive maintenance: Smart factories use digital data to predict, identify, and resolve maintenance issues efficiently and faster, which reduces expensive equipment repairs and avoid disruptions to production. 
  • Significant cost reductions: Immediate access to supply chain and production data for analytics and analysis increases predictive and forecasting accuracy, which helps to reduce waste and costs through tightly managed demand management. 
  • Enhanced productivity: Digital data generated from autonomous machines communicating with each other enables real-time insights into manufacturing processes, which helps managers adjust efficiency planning to enhance productivity. 
  • Improved employee satisfaction: Access to modern technology attracts and retains talent. Modern technology also reduces human error, which means employees have fewer dissatisfied customers to engage. 
  • Energy efficiency: Manufacturers can reduce their carbon footprint by reducing manufacturing and processing waste. More efficient manufacturing can reduce energy waste which can help make products more affordable as a result.

How Vigilant helps our manufacturing clients become a Smart Factory 

The Internet of Things (IoT)  Oracle Fusion Cloud IoT Intelligent Applications 

Predict maintenance needs and prevent unplanned downtime. Detect, analyze, and respond to IoT signals in factory settings. Enable real-time visibility of asset health, location, and utilization. 

  • Monitor work-in-progress 
  • Prevent unplanned downtime 
  • Maximize product quality 
Manufacturing  Oracle Fusion Cloud Manufacturing 

Streamline your global, mixed-mode manufacturing to make anything, anywhere, with an intelligent, optimized, and integrated solution powered by IoT and AI. 



Oracle Fusion Cloud Maintenance 

Transform your maintenance processes with an integrated and intelligent enterprise asset management system that’s written for the cloud and designed for the Internet of Things environment. Use Industry 4.0 capabilities and predictive analytics to predict asset failure, estimate reliable lifespan, and trigger prescriptive workflows to take preemptive action. 

Quality Management  Oracle Fusion Cloud Quality Management 

Drive closed-loop quality processes through design, procurement, inventory, manufacturing, and field service to ensure rapid detection and resolution of quality events. Make faster, more informed decisions and reduce risk with a predictive and connected 360-degree view of product quality across product lifecycle and supply chain processes. 

Supply Chain Planning  Oracle Fusion Cloud Supply Chain Planning 

Get better results faster by planning your supply chain end-to-end in the cloud. Effortlessly combine demand insights, supply constraints, and stakeholder input, and apply built-in machine learning to improve profitability while accelerating customer service. 

Business Analytics  Oracle Analytics Cloud 

Address the entire analytics process, from data ingestion and modeling, through data preparation and enrichment, to visualization and collaboration, without compromising security and governance. Use embedded machine learning and natural language processing technologies to help increase productivity and build an analytics-driven culture in your organization. 

Data Lakes / Data Warehouse  Oracle Cloud Infrastructure (OCI) / Oracle Database 

Large amounts of real-time data are generated by embedded sensors and connected equipment. These are best stored in a data lake, a storage architecture designed to store raw and structured data. Another data storage architecture called a data warehouse combines data from multiple sources, including the data lake, that enables data visualizations and analysis for better decision-making. 

Connected Systems  Oracle Integration Cloud (OIC) 

Connecting systems, devices, and databases are critical to smart Industry 4.0 manufacturing. With many pre-built connectors, Oracle Integration Cloud offers speed and simplicity to connecting your core manufacturing systems for real-time actionable data. 

Applications (Backbone)  Oracle Fusion ERP and SCM, including Manufacturing and PLM 

Having the right applications to support the supply chain, order management, manufacturing, and accounting are critical for capturing the key process inputs and outputs to operate your business efficiently and effectively. Vigilant uses only certified and experienced consultants to help you implement, configure, and optimize your Oracle application environment to ensure you maximize the ROI while running your smart Industry 4.0 manufacturing business. 

Process Automation  Robotic Process Automation (RPA) 

Business processes that are easily defined, repetitive, manual, and do not have a lot of variability in the process execution can all be automated using Robotic Process Automation tools. Vigilant uses certified RPA experts that assess your technology landscape and provide you with an expertly crafted automated solution. Automating the lower value manual data entry tasks enables your employees to focus on higher value tasks. 


Industry 4.0 is how manufacturing plans are leveraging technology to create smart manufacturing environments that can identify, detect, and predict issues and opportunities to create efficient supply chain and production execution, which keep costs low, customers satisfied, and employees happy. Vigilant helps our customers engage today’s digital technologies to achieve the benefits attributed with smart manufacturing. 


The Insider’s Guide to Migrating to Oracle Cloud Infrastructure: 5 Key Factors to Consider

“Five Key Considerations for a Successful Oracle Cloud Infrastructure Cloud Migration”

Migration to the cloud has grown in popularity as a means to modernize and streamline business operations alongside the trend toward digital transformation. As a result, numerous businesses are attempting to migrate their workloads to cloud platforms such as Oracle Cloud Infrastructure (OCI). Cloud migration can be a complex process that requires careful planning. To ensure a successful OCI migration, advance planning and through preparation is essential.

Security and Compliance:

When migrating to OCI, customers must ensure that their workloads comply with security and compliance requirements. This includes network protection, identity management, and data security. Customers should assess the adaptability of their existing security policies and procedures to the cloud environment.

Networking and Connectivity: Networking and connectivity are essential to any cloud migration. Customers must evaluate their current network topology and determine the optimal connection method to OCI. There are VPN, FastConnect, and Direct Connect options. Customers should also consider the configuration and management of their network in the cloud environment.

Application Architecture: For a successful OCI migration , the application architecture must be compatible with Oracle Cloud Infrastructure

Cost Optimization: Oracle cloud cost management  is a crucial factor to consider in any cloud migration. Customers should assess the cost of running their workloads in OCI, which includes instance types, storage options, and data transfer fees. This will assist customers in determining the most cost-effective cloud solution for their workloads.

Migration Method: Customers must select the most suitable OCI migration  method based on the required complexity, timeline, and resources. Alternatives include lift-and-shift, re-architecture, and a hybrid strategy. Customers should have a well-defined plan and risk mitigation strategy in place, as well as test and validate their workloads in the cloud environment.

In conclusion, migrating workloads to OCI can provide businesses with numerous advantages, such as increased agility, scalability, and cost savings. To ensure a successful outcome, it is essential to carefully consider the five key considerations outlined in this blog post. Customers can successfully migrate their workloads to Oracle Cloud Infrastructure and reap the benefits of cloud computing with careful planning and execution.


5 Most Common Oracle Cloud Implementation Challenges

5 Most Common Oracle Cloud Implementation Challenges

Oracle Cloud Applications can bring many benefits to your organization, such as improved efficiency and cost savings. However, like any new technology implementation, there are Oracle Cloud implementation challenges that organizations may face. In this blog post, we’ll explore the top 5 challenges of using Oracle Cloud Applications and offer tips on how to overcome them.

Challenge #1: User Adoption

One of the biggest challenges that organizations face when implementing new technology is user adoption. It’s not uncommon for employees to resist change, especially when it comes to new software. To ensure that your organization gets the most out of Oracle Cloud Applications, it’s important to invest in user training and support.

This could include providing training materials, hosting webinars or workshops, and having a dedicated cloud application support team available to answer questions and troubleshoot issues.

Challenge #2: Ongoing customizations

Depending on the specific needs of your organization, it may be necessary to customize or configure Oracle Cloud Applications to fit your business processes and workflows. This can be a complex process, and it’s important to carefully plan and test any customization or configuration to ensure that it is done correctly and does not negatively impact the performance of the software.

Typically, the out of box reporting does not meet the needs and require constant report development to meet the end user needs.

Challenge #3: Integration with Other Systems

Oracle Cloud Applications may need to integrate with other systems that your organization uses, such as your CRM or third party providers like banks, benefits provider etc. It’s important to carefully plan and test the integration to ensure that it is seamless and error-free.

It may also be necessary to invest in an integration solution to standardize integrations and get everything running smoothly.

Challenge #4: Managing and Maintaining the System

After a go-live of Oracle Cloud Applications, it’s important to ensure that the system is properly managed and maintained. This includes tasks such as keeping the software up to date with the latest patches and releases, monitoring the system for any issues or performance problems, and troubleshooting and resolving any issues that may arise.

It’s also important to have a process in place for handling user support requests and ensuring that users have the necessary resources and training to effectively use the software. Managing and maintaining the system can be time-consuming and require the involvement of IT staff or external support providers.

Challenge #5: Out of Box reporting

One of the key challenges that organizations may face after a go-live of Oracle Cloud Applications is that the out of the box reporting does not meet the needs of the end users. There is a constant requests from end users to provide job specific reports for their daily operations. New report development can be a complex and time-consuming process, especially if the organization has different data sources from other applications.


Oracle Cloud Applications can bring many benefits to your organization, but it’s important to be prepared for the Oracle Cloud challenges that may arise during the implementation process.

By picking the right oracle cloud applications consulting providers for your implementation or by investing in user training and support, carefully planning and testing customization and configuration, and prioritizing integration with other systems, managing and maintaining the system, and ensuring data accuracy and integrity, you can overcome the top challenges of using Oracle Cloud Applications and ensure a successful implementation.

ChatGPT Engagement Examples

ChatGPT, Engagement, Chatbot

Getting the most out of ChatGPT

The following article provides different methods for engaging ChatGPT to get the most out of ChatGPT.  There are advanced topics, like connecting APIs, but this article focuses on how to engage with ChatGPT to get meaningful results.

ChatGPT Engagement Examples

The table below showcases a collection of ChatGPT prompts and example conversations. ChatGPT is an advanced language model developed by OpenAI that can engage in interactive dialogues with users. These prompts cover a range of scenarios, including general chat, social media posts, writing assistance, product recommendations, concept explanations, math problem-solving, book/movie/TV show recommendations, language translations, historical facts, health and fitness tips, and more. Each example conversation demonstrates how users can interact with ChatGPT to receive helpful responses and engage in meaningful discussions across various topics.

Prompt Example Conversation
General Chat User: Hi, how are you today? <br> AI: I’m doing well, thank you! How can I assist you today?
Social Media Post User: Can you help me come up with a catchy social media post? <br> AI: Sure! What’s the topic or theme? <br> User: How about traveling? <br> AI: “Wanderlust: Explore the world and create memories that last a lifetime! ✈️🌍”
Writing a Story User: I need help starting a story. <br> AI: Of course! What genre or theme are you interested in? <br> User: I want to write a sci-fi story about time travel. <br> AI: “In a world where time bends and reality shifts, a young scientist discovers the key to unraveling the mysteries of the past and future…”
Giving Product Recommendations User: I’m looking for a new smartphone. Can you recommend one? <br> AI: Certainly! Are there any specific features or budget you have in mind? <br> User: I’m looking for a phone with a good camera and a budget around $500. <br> AI: Based on your preferences, I suggest considering the XYZ model. It has a high-resolution camera and falls within your budget.
Explaining a Concept User: Can you explain the concept of blockchain to me? <br> AI: Certainly! Blockchain is a decentralized digital ledger that records transactions across multiple computers. It ensures transparency, security, and immutability of data by creating a chain of blocks, each containing a list of validated transactions.
Solving a Math Problem User: I’m stuck on this math problem: 2x + 5 = 15. What’s the value of x? <br> AI: To find the value of x, we need to isolate it on one side of the equation. Subtracting 5 from both sides gives us 2x = 10. Then, dividing both sides by 2 gives x = 5.
Recommending a Book, Movie, or TV Show User: I need a good book recommendation. Any suggestions? <br> AI: Absolutely! What genre or type of book are you interested in? <br> User: I enjoy mystery novels. <br> AI: You might enjoy “Gone Girl” by Gillian Flynn. It’s a gripping psychological thriller with plenty of twists and turns.
Translating a Phrase or Sentence User: How do you say “Hello, how are you?” in French? <br> AI: In French, “Hello, how are you?” is translated as “Bonjour, comment ça va ?”
Assisting with Language Learning User: Can you help me practice my Spanish? <br> AI: ¡Por supuesto! ¿En qué te puedo ayudar? (Of course! How can I assist you?)
Exploring Historical Facts or Events User: Tell me about the American Revolutionary War. <br> AI: The American Revolutionary War was a conflict fought between Great Britain and thirteen British colonies in North America. It lasted from 1775 to 1783 and resulted in the independence of the United States of America.
Providing Health and Fitness Tips User: I’m trying to improve my fitness. Any tips? <br> AI: Absolutely! Regular exercise, such as cardio and strength training, is important. Additionally, make sure to eat a balanced diet, stay hydrated, and get enough sleep. Remember to listen to your body and gradually increase the intensity of your workouts to avoid injuries.

Using ChatGPT Prompts for Effective Communication

The following table provides a range of prompt types and corresponding examples to guide your interactions with ChatGPT, a powerful language model. By using these prompts, you can effectively communicate your requests, questions, and instructions to receive accurate and relevant responses. Each prompt type serves a specific purpose, allowing you to explore different conversation styles and elicit various types of information from the model.

Prompt Type Instruction Example
Open-Ended Begin with a general statement or question to encourage a free-form response. User: Tell me about your favorite book and why you like it.
Instruction Clearly provide a directive or command to guide the model’s response. User: Describe the process of baking a chocolate cake step by step.
Scenario Set up a specific situation or context for the model to respond to. User: Imagine you’re a tour guide in New York City. Give me recommendations for the best sights to see.
Clarification Ask follow-up questions to obtain more information or clarify a previous response. User: You mentioned a great restaurant. What type of cuisine do they specialize in?
Comparison Request a comparison between two or more items or concepts. User: Compare the benefits of running outdoors versus using a treadmill.
Creative Encourage the model to generate creative or imaginative responses. User: Invent a story about a magical kingdom ruled by talking animals.
Opinion Ask the model to share its personal opinion or preference on a topic. User: What do you think is the best movie of all time and why?
Evaluation Request an evaluation or critique of a specific subject. User: Can you evaluate the pros and cons of renewable energy sources?
Prediction Ask the model to make predictions or speculate about future events. User: What do you think will be the biggest technological advancement in the next decade?
Reflection Prompt the model to reflect on a specific topic or provide introspective thoughts. User: Share your thoughts on the importance of education in society.

Using different prompt types can help guide the model’s responses and generate more specific and targeted information.

ChatGPT Writing Styles

Writing style plays a crucial role in effectively communicating ideas and engaging readers. As an AI language model, ChatGPT has been trained on a diverse range of writing styles, enabling it to adapt to various contexts and tones. Below, you’ll find a table showcasing some of the writing styles that ChatGPT supports, along with examples of how to ask for each particular style:

Writing Style Example of Asking
Formal “Could you please provide a formal response to my inquiry?”
Informal “Hey, can you give me a casual and conversational explanation?”
Professional “I need a response written in a professional manner, preferably suitable for a business setting.”
Technical “I’m looking for a detailed and technical explanation of this concept. Could you help me with that?”
Creative “I’d love to see a creative and imaginative response to this prompt. Surprise me!”
Persuasive “Can you provide a persuasive argument in favor of this idea?”
Humorous “I could use a good laugh. How about a funny response to lighten the mood?”
Academic “I’m writing a research paper and need an academically sound explanation. Can you assist me with that?”

Please note that while ChatGPT can attempt to mimic these writing styles, it’s important to review and refine the generated content according to your specific needs and context.

Additional Ideas to Engage ChatGPT

Tasks Format Example
Asking a Question Direct Question User: “What is the capital of France?”
Seeking Information Open-ended Prompt User: “Tell me about the history of the Roman Empire.”
Seeking Advice Requesting Recommendations User: “Can you recommend some good books to read?”
Engaging in Small Talk Casual Conversation User: “How’s the weather today?”
Creative Writing Prompt-based Storytelling User: “Write a short story about a detective solving a mysterious crime.”
Programming Help Specific Code or Error Description User: “I’m getting a ‘syntax error’ in my Python code. Can you help me troubleshoot?”
Language Translation Text or Phrase to Translate User: “Translate ‘Hello, how are you?’ to French.”
Playing a Game Game-specific Commands User: “Move left, attack the enemy, and use a healing potion.”
Brainstorming Ideas Topic or Concept User: “Help me generate some ideas for a new product.”
Emotional Support Sharing Feelings or Concerns User: “I’m feeling really stressed lately. Can you offer any advice?”


Cloud Cost Optimization: A Technical Guide to Improving Efficiency

Cloud Cost Optimization

Cloud Cost optimization is a crucial aspect of managing workloads on Oracle Cloud Infrastructure (OCI). The goal of Oracle Cloud cost optimization is to reduce the cost of running applications and services on the cloud while still meeting performance and availability requirements. In this blog post, we will cover five technical steps for effective OCI cost management. 


Resource Sizing 

One of the key cost optimization strategies is to properly size compute, storage, and network resources to match the requirements of your workloads. When resources are overprovisioned, it leads to unused or underutilized resources, which result in wasted spend. On the other hand, if resources are undersized, performance and availability may be impacted. Therefore, it is important to properly size resources to ensure they meet the demands of your workloads. 


Cost-Effective Purchasing Options 

OCI offers several purchasing options that allow you to reduce costs. For example, the Reserved Instance (RI) model allows you to reserve compute resources for a one- or three-year term, resulting in significant cost savings compared to On-Demand instances. Another cost-effective option is the Bring Your Own License (BYOL) model, which allows you to use existing software licenses in the cloud, reducing the cost of running software on OCI. 


Automated OCI Cost Management 

OCI provides a Cost Management and Billing service that automates cost management tasks, allowing you to better control and monitor costs. With this service, you can set up alerts for when spending exceeds a specified threshold, receive cost reports, and analyze cost and usage trends to help identify opportunities for Oracle cloud cost optimization. 


Utilize Free Services 

OCI offers several services that are free, such as the Object Storage service and the Load Balancer service. By taking advantage of these free services, you can reduce costs and improve the overall efficiency of your infrastructure. The Object Storage service, for example, provides low-cost, scalable, and durable object storage that can be used for a variety of use cases, such as storing backups, data archives, and media files. 


Right-Sizing and Scheduling 

Right-sizing compute instances based on utilization patterns is another key aspect of Oracle cloud cost optimization.


Concluding – Cloud Cost Optimization 

Cloud cost optimization is a critical aspect of managing workloads on OCI. By following the five technical steps outlined in this blog post, you can effectively manage costs and reduce spending, while still meeting performance and availability requirements. Whether you are just starting out on OCI or are already running applications and services in the cloud, implementing cloud cost optimization is crucial. 

Digital Transformation: Beyond RPA and IPA Automation

Digital Transformation, Automation, Vigilant, IPA, RPA

Unleashing the Next Frontier Beyond RPA and IPA Automation: Digital Transformation

In the rapidly evolving and shifting landscape of business, organizations striving to remain competitive and relevant must be agile and responsive. While the deployment of Robotic Process Automation (RPA) and Intelligent Process Automation (IPA) has provided substantial improvements in efficiency and cost reduction, it’s essential for organizations to recognize that these technologies merely scratch the surface of the transformative potential that digitalization can offer. As the dust settles on the era of automation, a new horizon emerges: a comprehensive digital transformation strategy that encompasses not just automation, but the entire spectrum of technological advancements.

1. Automation: A Stepping Stone, Not the Summit

Robotic Process Automation and Intelligent Process Automation have proven their mettle as essential tools in streamlining repetitive tasks, minimizing errors, and maximizing operational efficiency. However, organizations must resist the temptation to perceive these technologies as the pinnacle of innovation. Vigilant recommends to our customers that RPA/IPA should be considered as a transformation tool in a wide-ranging digital transformation toolbox. Other transformation tools may include system upgrades, system parameter enablement, report development, system integration, data governance, and more.

2. From Process-Centric to Customer-Centric

While automation technologies undoubtedly enhance internal processes, digital transformation transcends these confines. It’s time to shift the focus from process-centric improvements to customer-centric enhancements. Seamlessly integrated digital experiences, personalized interactions, and anticipatory services are now the gold standard. Vigilant is helping our customers to leverage data insights from automated processes and AI chatbots to craft custom customer journeys that resonate with today’s tech-savvy clientele.

3. Embracing Data as the New Currency

Digital transformation marks the era of data enlightenment. RPA and IPA generate a treasure trove of data. The next logical step is to harness this data for predictive analysis, AI-driven insights, and informed decision-making. Vigilant helps our customers to unlock hidden patterns, discover untapped opportunities, and optimize their operations with unprecedented precision.

4. Agility and Innovation as Cornerstones

The digital age is characterized by its unrelenting pace of change. To thrive in this environment, organizations must cultivate agility and innovation. While automation laid the groundwork, true transformation involves reimagining processes, products, and business models. Vigilant is helping our customers to adopt emerging technologies such as Artificial Intelligence, Internet of Things, and Blockchain to create new value propositions and revenue streams.

5. Cultivating a Culture of Adaptation

The success of digital transformation hinges on fostering a culture that embraces change. Employees should be empowered to acquire new skills, experiment with novel technologies, and contribute to innovative initiatives. Vigilant works with our customers to develop a culture of continuous learning and adaptation to ensure the organization remains at the vanguard of technological advancements.

6. Navigating Challenges and Mitigating Risks

Undertaking comprehensive digital transformation involves challenges and risks, including technological complexities, change resistance, and security concerns. However, these should not deter organizations from embarking on this transformative journey. Instead, leveraging Vigilant’s experience and depth of expertise allows for opportunities to grow and improve with less risk. Vigilant utilizes effective change management, stringent project management, robust cybersecurity and compliance measures, and thoughtful and practical strategic planning to help mitigate unforeseen challenges.

7. The Holistic Digital Ecosystem

As organizations venture beyond automation, they should strive to create a holistic digital ecosystem. Vigilant helps customers to become data-centric by consolidating technologies, data sources, and processes to deliver a unified and seamless experience across departments, functions, and touchpoints. Data-Centric organizations maximize the benefits of business intelligence and analytics to support data-founded decision making.

In conclusion, while RPA and IPA have played a pivotal role in automating tasks, they are just the beginning of an organization’s digital evolution. To remain relevant and competitive, organizations must shift their focus from isolated automation efforts to a comprehensive digital transformation strategy. By prioritizing customer-centricity, data-driven insights, agility, and innovation, and by fostering a culture of adaptation, organizations can unlock the full potential of the digital age and secure a prosperous future in an ever-evolving business landscape.

We’d love to hear from you and learn how Vigilant can help guide and support you through your Digital Transformation journey.

Current digital transformation projects:

  • OpenText to SharePoint Migration with Microsoft Syntex to categorize and apply metadata to documents.
  • Customer AP chatbot to connect external customers with invoice and payment status to free employee’s time.
  • Migration of RPA processes to Power Automate.
  • Legacy SharePoint and Intranet migration to SharePoint 365.
  • Human Resources data warehouse – Consolidation of 4 HRMS systems.
  • Accounts Payable – AI Invoice Automation.
  • Application development – Internal healthcare application portal.
  • Employee human resources chatbot to allow employees to self-serve HR functions.
  • And more!