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Business Synergy: AI, Human Capital, and Operations Research Working Together

Introduction



At this point in history, it takes many people working together to create and run a billion-dollar company excluding trust funds and holding companies. This, however, will not be the case for long. Humanity is within five years of having a company with a billion-dollar valuation.


Through a synergistic combination of operations research, traditional computing resources, and AI and ML, we seek to create a successful business with a minimum of full-time employees and maximum synergy between all these components.


Synergy is to the collaboration and combined efforts of humans and resources to achieve a common goal. In a business context, synergy can refer to the benefits that result from the integration of different departments, teams, computing resources, AI, and an operations plan working together towards a shared objective: success. This can lead to improved efficiency, increased productivity, and better overall results. Synergy can also involve the sharing of resources, knowledge, and expertise to achieve a common goal. Synergy, when properly achieved, makes the whole greater than the sum of its parts.


As AI is a new factor in business, an introduction to what AI can do and how far it has come in the last year is in order. Artificial Intelligence (AI) is a rapidly growing industry that has seen significant growth in recent years. In this report, we will analyze the industry trends for AI in the United States for the past 12 months and compare it to the same period last year.



To conduct this analysis, we gathered data from various sources including industry reports, news articles, and market research reports. We analyzed this data to identify key trends and patterns in the AI industry in the United States.

Our analysis of the AI industry trends in the United States for the past 12 months reveals the following:


  • Increased Investment: The AI industry in the United States has seen a significant increase in investment over the past 12 months. According to a report by PwC, the total amount of investment in AI startups in the United States reached $18.5 billion in 2019, up from $11.9 billion in 2018.


  • Growing Adoption: The adoption of AI technology has continued to grow in the United States over the past 12 months. According to a report by Gartner, the number of enterprises implementing AI in the United States increased by 37% in 2019.


  • Focus on Ethical AI: There has been a growing focus on ethical AI in the United States over the past 12 months. Many companies are now implementing ethical AI principles to ensure that their AI systems are fair, transparent, and accountable.


  • Increased Competition: The AI industry in the United States has become increasingly competitive over the past 12 months. Many new startups have entered the market, and established companies are investing heavily in AI research and development.


  • When comparing the trends in the AI industry in the United States over the past 12 months to the same period last year, we can see that there has been significant growth in investment and adoption. The focus on ethical AI and increased competition have also continued to be important trends in both periods.


The AI industry in the United States has seen significant growth and development over the past 12 months. Increased investment, growing adoption, and a focus on ethical AI are all important trends that are shaping the industry. As the industry continues to evolve, it will be important for companies to stay up to date with the latest trends and developments to remain competitive.



Currently, however, there are no business standards either operationally or ethically when it comes to the use of AI. AI is improperly used by individuals who are expected to perform work on their own, sometimes they present their work as their own while downplaying or not mentioning the use of AI as either a shortcut or as the entire source of the work beyond entering a prompt. This most frequently occurs with jobs including copywriting and coding. It is particularly important that there is guidance in the use of AI respecting its limitations, its growth, and ethical concerns including work credit. AI is a great shortcut for multiple tasks; however, it is incumbent and very necessary for the people using the AI to state how they incorporated the AI within their assignment as well as what value they added through their own efforts. This is not only important from an ethics perspective but also vital to helping companies understand how AI works and does not work for them. It is also important to continue to track the changes in AI capabilities and appropriately manage the change by taking advantage of new methodologies and avoiding the related pitfalls.



Relying on AI exclusively without human expertise and traditional computing leads to disorganization and wasted human capital. Just because AI can perform certain tasks without considerable effort does not mean that operations research and traditional computing do not play a role. They do, in fact, play a vital role. When all these tools are used together intelligently and responsibly, therein lies the potential for synergy.



What we intend to do for our business as well as the businesses we help is to integrate these practices to maximize human capital using the tools of operations research and planning, computing, and AI resources in the most efficient and synergistic way possible.



The Role of Operations Research and its Limitations



Operations research is a field of study that uses mathematical modeling and analytical methods to solve complex problems in business and other fields. Operations Research is a powerful tool for business process analysis, change management, compliance, quality analysis, and quality improvement. In this blog post, we will explore how Operations Research can be used to improve business processes and outcomes in these areas.



Business Process Analysis



Business process analysis is the study of how work is accomplished in an organization. Team dynamics, computer systems, quality checkpoints, and supervisory functions are all mapped into a visual diagram. Operations Research can help businesses analyze their processes to identify inefficiencies and areas for improvement. For example, Operations Research can be utilized in the optimization of supply chain logistics, in efforts to reduce production costs, or improve customer service. Operations research includes a business process analysis that should be used as the blueprint for the traditional computing system used by the business. The platform created will pull together AI, Employees, Consultants, and Insight, so it is important to map all business processes while eliminating duplication of effort and internal security flaws based that can be avoided by granular access to the data needed by an individual without any unneeded or restricted data. By using mathematical models and data analysis, Operations Research can help businesses make better decisions and improve their bottom line.



Change Management



Change management is the process of implementing changes in an organization. Operations Research can help businesses plan and manage changes by providing tools to analyze the impact of changes on distinct parts of the organization. For example, Operations Research can be used to create simulations of new processes to assess their effectiveness before they are implemented. Change Management consultants do an excellent job of assisting organizations in systems implementation, training, teamwork, and managing the process of integrating recent technologies and insights as they arise. The power of using consultants in this field includes the objectivity of bringing in outside consultants with no stake in your business process and who specialize in creating synergy between people and systems. They can help remove barriers to communication, assist in consensus building, and ensure that the needs of all stakeholders are managed. Their objectivity helps them uncover resistance to change and they can help organizations gain value by analyzing the issues to the resistance and helping to engineer solutions to overcome the resistance. Resistance to change is often the most valuable and most overlooked source of insight into better organizational efficiency, teamwork, and constructive collaboration. This can help businesses avoid costly mistakes and ensure that changes are successful.



Compliance



Compliance refers to the adherence to laws, regulations, and standards. Operations Research can help businesses ensure compliance by providing tools to analyze compliance requirements and monitor compliance activities. For example, Operations Research can be utilized to analyze compliance risks and develop strategies to mitigate those risks. Operations Research can also be effective to monitor compliance activities to ensure that they are effective and efficient. Much of compliance is repetitive and can be automated using tools like Microsoft Power Automate. Analyses and the generation of reports and mailings to the correct agencies as well as systems and process monitoring and remembering deadlines are best managed by AI such as Microsoft Dynamics Power Automate.



Quality Analysis



Quality analysis is the process of measuring and analyzing the quality of products or services. OR can help businesses improve quality by providing tools to analyze quality data and identify areas for improvement. For example, Operations Research can be utilized to analyze customer feedback to identify common complaints or issues with products or services. This can help businesses improve their products or services to meet customer needs and expectations.



Quality Improvement



Quality improvement is the process of making changes to improve the quality of products or services. Operations Research can help businesses improve quality by providing tools to analyze data and identify areas for improvement. For example, Operations Research can be instrumental in efforts to analyze production processes to identify inefficiencies or defects. This can help businesses update, improve quality, and reduce costs. Both Quality Analysis and Quality Improvement can update the Operations Research aspect of any organization. Using the current computing methodology known as DevOps which combines development and operations and includes frequent testing and retraining of users will help organizations stay agile by reacting to new insights and technology changes without losing usability and functionality.



Limitations



The limitations of operations research is that it relies on a starting point of total understanding of the business processes needed as well as weaknesses in implementation, teamwork, and change management. The use of consultants in these areas rather than full-time employees can help to generate the best operations planning.


Operations Research is a powerful tool for business process analysis, change management, compliance, quality analysis, and quality improvement. By using mathematical models and data analysis, Operations Research can help businesses make better decisions and improve their bottom line. If you are looking to improve your business processes and outcomes, consider using operations research to help you achieve your goals. However, operations research is only as good as its implementation and integration with human capital, traditional computing resources, and emerging AI and ML (Machine Learning) capabilities.



Traditional Computing Uses and Limitations



Business computing is an essential aspect of modern-day business operations. It involves the use of computer technology to manage and automate business processes, improve efficiency, and increase productivity. In this blog post, we will explore key considerations for businesses when it comes to business computing, including Enterprise Resource Planning (ERP), reliability, security, training, and the proper use of consultants.



Enterprise Resource Planning (ERP)



Enterprise Resource Planning (ERP) is a type of business computing software that integrates various business functions, such as finance, human resources, and supply chain management, into a single system. ERP systems provide businesses with a centralized database that can be accessed by all departments, allowing for better communication and collaboration. By automating processes and providing real-time data, ERP systems can help businesses make better decisions and improve their overall performance.



Reliability



Reliability is a critical aspect of business computing. Businesses rely heavily on computer systems to manage their operations, and any downtime can have a significant impact on productivity and revenue. To ensure reliability, businesses should invest in high-quality hardware and software, perform regular maintenance and updates, and have backup and disaster recovery plans in place.



Security



Security is another critical consideration for businesses when it comes to computing. With the increasing amount of data stored and transmitted electronically, businesses must take steps to protect their sensitive information from cyber threats. This includes implementing firewalls, antivirus software, and encryption, as well as providing regular security training to employees.



Training



Training is essential for ensuring that employees can effectively use business computing systems. Without proper training, employees may not be able to take advantage of all the features and benefits of the technology, leading to inefficiencies and reduced productivity. Businesses should provide regular training and support to ensure that employees are proficient in the use of business computing systems.



Proper Use of Consultants



Consultants can be valuable resources for businesses when it comes to business computing. They can provide expertise and guidance on selecting and implementing technology solutions, as well as provide training and support. However, it is essential to use consultants properly and ensure that their goals are aligned with the business's goals and objectives. Businesses should carefully evaluate consultants before hiring them and establish clear expectations and deliverables.



Limitations



The limitations of business computing are that computing choices are not inherently secure, inherently cost-effective, or inherently usable. They are only as functional with proper planning, training, implementation, teamwork, and change management. Without operations research taking place first, no system will meet the needs of the business. Human efforts are needed to ensure that there is no duplication of efforts and the inefficiencies and introduced errors that result.



Business computing is an essential aspect of modern-day business operations. To ensure success, businesses must invest in reliable and secure technology solutions, provide proper training to employees, and use consultants effectively. By considering these key factors, businesses can take advantage of the benefits of business computing and achieve their goals.



Human Resources and their Limitations



Humans are an essential aspect of business operations. While technology has advanced significantly in recent years, humans still play a critical role in decision-making, problem-solving, and innovation. In this blog post, we will explore some of the key considerations for businesses when it comes to humans in business, including the fact that humans make the best decisions, humans are prone to errors, humans are not good at repetitive work, the need for teamwork, and the need for change management.



Humans Make the Best Decisions



Humans can make complex decisions that consider a range of factors, including emotions, intuition, and experience. While technology can provide data and insights, it is ultimately people who must make the final decisions. By leveraging their unique skills and abilities, humans can make the best decisions for the business.



Humans are Prone to Errors



While humans can make the best decisions, they are also prone to errors. This can be due to a range of factors, such as fatigue, stress, or lack of focus. Businesses must be aware of this and take steps to mitigate the risk of errors. This can include providing training and support to employees, implementing quality control measures, and using technology to automate repetitive tasks.



Humans are not Good at Repetitive Work



Humans are not well-suited for repetitive tasks that require little creativity or decision-making. These tasks can be tedious and lead to boredom and reduced productivity. To address this, businesses should use technology to automate repetitive tasks and free up employees to focus on more complex and engaging work.



The Need for Teamwork



Teamwork is essential for business success. Humans are social creatures and thrive in collaborative environments. By working together, employees can share knowledge and expertise, provide support and feedback, and achieve better outcomes. Businesses should encourage and facilitate teamwork by providing opportunities for collaboration and communication.



The Need for Change Management



Change is a constant in business, and humans can be resistant to change. Change management is the process of preparing employees for changes and helping them adapt to new ways of working. This can include providing training and support, communicating the benefits of the change, and involving employees in the process. By effectively managing change, businesses can minimize disruption and ensure that employees are prepared for the future.



Humans are an essential aspect of business operations. While technology can provide data and insights, it is people who make the best decisions. However, humans are prone to errors and not well-suited for repetitive tasks. To succeed, businesses must encourage teamwork, responsibly manage change, and provide training and support to employees. By considering these key factors, businesses can leverage the unique skills and abilities of humans to achieve their goals.



AI and its Limitations



Artificial Intelligence (AI) has become an increasingly popular topic in the business world in recent years. AI refers to computer systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. In this blog post, we will explore some of the key considerations for businesses when it comes to AI use in business, including repetitive task automation, AI business insights, machine learning potential, the lack of decision-making capabilities of AI, the need for continual change management as AI develops, AI ethics, and AI integration in the workplace.



Repetitive Task Automation



One of the primary benefits of AI in business is the ability to automate repetitive tasks. This can include tasks such as data entry, customer service, and inventory management. By automating these tasks, businesses can improve efficiency and reduce costs.



AI Business Insights



AI can also provide valuable insights into business operations. By analyzing copious amounts of data, AI can identify patterns and trends that humans may not be able to detect. This can help businesses make better decisions and improve their overall performance.



Machine Learning Potential



Machine learning is a type of AI that allows computer systems to learn and improve over time without human programming. The computer recognizes patterns and programs its own algorithms. This has significant potential for businesses, as it can help improve efficiency, reduce costs, and enhance decision-making capabilities. Machine learning through the data warehouse has helped many businesses become more profitable, but they only work as far as the insights are successfully implemented into change management and quality improvement routines by humans.



Lack of Decision-making Capabilities of AI



While AI can provide valuable insights and automate repetitive tasks, it is important to note that AI does not have decision-making capabilities. AI can provide recommendations and insights, but it is people who must make the final decisions. The best way to ensure proper automation is to include a human supervisory approval step to vital work that is AI generated.



Need for Continual Change Management as AI Develops



AI is a rapidly evolving technology, and businesses must be prepared to adapt and change as AI develops. This requires a continual change management process that involves training and support for employees, ongoing evaluation of AI systems, and a willingness to adapt to innovative technologies and processes.



AI Ethics



As AI becomes more prevalent in business operations, it is important to consider the ethical implications of AI. This includes issues such as data privacy, bias, and accountability. Businesses must ensure that their use of AI aligns with ethical standards and regulations.



AI Integration in the Workplace



Finally, businesses must consider how AI implementation will take place. This includes issues such as employee training, job displacement, and the potential impact on company culture. By carefully considering these factors, businesses can ensure that AI integration is successful and beneficial.



AI has significant potential for businesses, including the automation of repetitive tasks, valuable business insights, and the potential for machine learning. However, businesses must also consider the limitations of AI, the need for continual change management, ethical considerations, and how AI will be successfully integrated into the workplace. By carefully considering these factors, businesses can successfully leverage the benefits of AI to improve their operations and achieve their goals.



Synergy Between Operations Research, AI, ML, Traditional Computing, Use of Consultants, and Human Resources.



In today's fast-paced business environment, companies are constantly seeking ways to improve efficiency, quality, and reduce costs. To achieve these goals, organizations are turning to a combination of AI, ML, traditional computing, outsourcing with consultants, human resources, and operations research. In this blog post, we will explore the synergy between these resources and how they can best work together to achieve business success.



Efficiency



AI, ML, traditional computing, outsourcing with consultants, human resources, and operations research can all contribute to increased efficiency in diverse ways. AI and ML can automate repetitive tasks, while traditional computing can provide reliable and efficient processing power. Outsourcing with consultants can provide specialized expertise, while human resources can manage talent and ensure that employees are working efficiently. Operations research can provide insights into how to optimize processes and improve efficiency.



Quality Improvement



The combination of these resources can also contribute to improved quality. AI and ML can help identify and correct errors, while outsourcing with consultants can provide specialized expertise to improve quality control. Human resources can ensure that employees are professionally trained and motivated to produce high-quality work. Operations research can provide insights into how to improve quality and optimize processes. Operations Research can lead to elimination of duplication of effort and best assigning proper creative and decision-making tasks to employees while helping to decide which areas are best outsourced to outside consultants.



Reduction of Full-Time Employees



By leveraging these resources, companies can also reduce the number of full-time employees required. AI and ML can automate repetitive tasks, reducing the need for manual labor. Outsourcing with consultants can provide specialized expertise without the need to hire full-time employees. Human resources can help manage talent and ensure that employees are working efficiently, reducing the need for additional staff. Operations research can provide insights into how to optimize processes and reduce the need for additional employees.



AI Process Automation



AI and ML are particularly useful for process automation. By automating repetitive tasks, companies can improve efficiency, reduce costs, and improve quality. AI and ML can also provide insights into how to optimize processes and improve performance.



AI Insights



AI and ML can also provide valuable insights into business operations. By analyzing substantial amounts of data, AI can identify patterns and trends that humans may not be able to detect. This can help businesses make better decisions and improve their overall performance.



How These Resources Can Best Work Together



To achieve the greatest benefit, all these resources must work together effectively. This requires a coordinated effort that involves clear communication, collaboration, and a willingness to adapt to recent technologies and processes. Companies must also ensure that their use of these resources aligns with ethical standards and regulations.



How Will We Implement This



First, we will apply these ideas to our own business, automating wherever possible and using AI and outsourcing to maximum effectiveness. We will organize our core business with a custom implementation of Microsoft Dynamics which will be customized to create an ERP program internally by myself and my team. I have experience in Enterprise Resource Planning, Operations Management, and AI use. I have just finished my Postgraduate Certificate program in Cloud Computing at the University of Texas at Austin. Microsoft Dynamics 365 is a powerful tool for businesses looking to improve efficiency and streamline operations. By leveraging features such as Power Automate, Power Apps, and Power BI, businesses can automate processes, create custom applications, and gain valuable insights into their operations. These tools work seamlessly together to provide a comprehensive solution for businesses of all sizes. With Microsoft Dynamics 365, businesses can improve efficiency, reduce costs, and achieve their goals in today's competitive business environment. We will also use Microsoft Project Management with Enterprise Resource Management and Demand Management features to optimize the synergistic use of human capital, computing resources, and AI together.



Conclusion



In conclusion, the synergy between AI, ML, traditional computing, outsourcing with consultants, human resources, and operations research can provide significant benefits to businesses, including increased efficiency, improved quality, and reduced costs. By leveraging these resources effectively and working together, companies can achieve their goals and succeed. Starting with our own company, American Delivery, we intend to go through a process of creating synergy between these resources for ourselves, then we will extend that to use for our clients.



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Martin Emerson Low
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