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Is AI Good for Business?

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Is AI Good for Business?

Preface:

I work for an advanced tech company that develops custom software for companies like SpaceX. You can confidently say we are at the cutting edge of tech consulting and custom application development. I am also in Marketing and have been using advanced marketing platforms and systems for B2B services for several decades. Now that AI has officially made its way into all aspects of business, I wanted to see how far AI platforms and tools have come for people in my profession.

In one aspect, this article is a test. It is a test to see if AI can write a valuable piece of content about itself in relation to my target market. It is also an opportunity for me to make a larger point about available “off the shelf” AI tools and AI’s ability to impact business in general – right now. There is a point in all of this; one that speaks to the need for companies to carefully consider the future uses of AI in their business.

AI like any other advanced technology will have early tools, platforms, and early adopters who attempt to use available services based on their own intuitive use case needs. When it works, AI works fairly well to save time. But, spoiler alert, I found out fairly quickly that it shouldn’t only be about saving time. There has to be a larger discussion and plan for the strategic use of AI in any situation in order to extract the kind of value innovative executives need to truly transform business operations.

So let’s dive in. The next part of this article was entirely written by AI. I orchestrated the questions and made only minor edits. The whole process took about 10 minutes in total. Read the article and I’ll share some observations on the other side.

Leveraging Artificial Intelligence to Drive Business Value in Healthcare, Aerospace, and Financial Services

98.7% Written by AI (ChatGPT)

Artificial intelligence (AI) is transforming the way healthcare, aerospace, and financial services companies operate, enabling them to become more efficient, reduce costs, and open new areas of revenue. In healthcare, AI is being used to improve patient care, streamline clinical trials, and optimize the supply chain. In aerospace, AI is being used to optimize the design and engineering of spacecraft parts, improve safety, and predict maintenance needs. In financial services, AI is being used to detect and prevent fraud, assess credit risk, improve portfolio management, automate customer service, and enhance marketing efforts.

As these industries continue to adopt AI, we can expect to see even more significant changes in the way they do business.

 

Healthcare & Life Sciences: Using AI to Enhance Patient Care and Streamline Clinical Trials

There are several ways that artificial intelligence (AI) can be used to enhance patient care and streamline clinical trials in healthcare:

  1. Personalized medicine: AI can be used to analyze a patient’s medical history, genetic data, and other relevant information to identify personalized treatment options and make recommendations to healthcare providers. This can help to improve the effectiveness of treatment and reduce the risk of adverse side effects.
  2. Clinical decision support: AI can be used to analyze patient data and make recommendations to healthcare providers on diagnosis, treatment, and prognosis. This can help to improve the accuracy and speed of diagnosis, as well as reduce the risk of medical errors.
  3. Predictive analytics: AI can be used to analyze patient data and predict the likelihood of certain outcomes, such as the likelihood of a patient developing a particular condition or responding to a particular treatment. This can help to identify at-risk patients and intervene early to prevent or mitigate potential problems.
  4. Clinical trial management: AI can be used to automate various tasks related to clinical trial management, such as identifying eligible participants, tracking patient enrollment, and monitoring trial data. This can help to streamline the clinical trial process and reduce the time and cost of conducting trials.
  5. Patient monitoring: AI can be used to continuously monitor patients remotely, alerting healthcare providers to potential issues and helping to identify potential health problems before they become serious. This can help to improve patient care and reduce the need for hospital visits.

 

Aerospace: Maximizing Efficiency and Safety in Manufacturing with AI

There are several ways that companies that manufacture spacecraft parts can benefit from artificial intelligence (AI). Here are a few examples:

  1. Improved design and engineering: AI can be used to optimize the design and engineering of spacecraft parts, by analyzing data on past performance and using machine learning algorithms to identify patterns and make predictions about how different designs might perform. This can help companies to design more reliable and efficient spacecraft parts, reducing the risk of costly failures and delays.
  2. Automated testing and inspection: AI can be used to automate the testing and inspection of spacecraft parts, helping to reduce the time and cost of these processes. For example, AI-powered vision systems can be used to inspect parts for defects, identifying issues that might be missed by human inspection.
  3. Predictive maintenance: AI can be used to predict when spacecraft parts are likely to fail, allowing companies to schedule maintenance and repairs in advance, rather than waiting for a problem to occur. This can help to improve the reliability and lifespan of spacecraft parts, as well as reduce the risk of costly failures.
  4. Supply chain optimization: AI can be used to optimize the supply chain for spacecraft parts, by analyzing data on demand and production capacity to identify bottlenecks and inefficiencies. This can help companies to improve the efficiency of their operations, reducing costs and improving delivery times.

 

Financial Services: Transforming Business with Predictive Analytics and Automation

Artificial intelligence (AI) can be used to transform financial services in several ways by leveraging predictive analytics and automation:

  1. Fraud detection and prevention: AI can be used to analyze data on financial transactions and identify patterns that may indicate fraudulent activity. This can help financial services companies to prevent losses due to fraud and improve customer confidence in the security of their accounts.
  2. Credit risk assessment: AI can be used to analyze data on a borrower’s financial history, employment, and other relevant factors to predict the likelihood of default on a loan. This can help financial services companies to make more informed lending decisions and reduce the risk of default.
  3. Portfolio management: AI can be used to analyze data on financial markets and make predictions about the performance of different investments. This can help financial advisors and portfolio managers to make more informed investment decisions and improve the performance of investment portfolios.
  4. Customer service: AI can be used to automate various tasks related to customer services, such as answering frequently asked questions, processing transactions, and identifying customer needs. This can help financial services companies to improve efficiency and reduce the workload of customer service staff.
  5. Marketing: AI can be used to analyze data on customer behavior and preferences to identify potential leads and tailor marketing messages to specific segments of the customer base. This can help financial services companies to improve the effectiveness of their marketing efforts and increase customer acquisition and retention.

 

AI Continues to Evolve to Solve More Business Challenges

There are several significant ways that artificial intelligence (AI) is likely to evolve and impact business in the future:

  1. Increased automation: As AI becomes more advanced, it will be able to automate more tasks and processes, reducing the need for human labor and increasing efficiency. This could lead to significant changes in the way businesses operate, including the potential for job displacement in certain sectors.
  2. Improved decision-making: AI can analyze large amounts of data and make predictions and recommendations that can help businesses to make better decisions. As AI becomes more sophisticated, it will be able to make more complex and nuanced decisions, potentially transforming the way businesses operate.
  3. Enhanced customer experiences: AI can be used to personalize the customer experience and improve customer satisfaction. For example, AI-powered chatbots can provide personalized customer support, and AI-powered marketing can be used to deliver targeted advertisements and recommendations to customers.
  4. Increased competitiveness: As businesses adopt AI, they may be able to gain a competitive advantage over their rivals by leveraging its capabilities to improve efficiency, reduce costs, and drive innovation.
  5. New business models: AI could enable the development of new business models and create entirely new industries. For example, AI could be used to create personalized products and services or to enable the automation of previously manual processes.

 

Future Outlook

The future looks bright for companies in healthcare, aerospace, and financial services as they continue to utilize artificial intelligence (AI) in new, creative ways to innovate their industries. In healthcare, we can expect to see more personalized medicine and clinical decision support, as well as greater use of remote patient monitoring and predictive analytics. In aerospace, we can expect to see AI being used to optimize the design and engineering of spacecraft parts, improve safety, and predict maintenance needs. In financial services, we can expect to see AI being used to improve fraud detection and prevention, credit risk assessment, portfolio management, customer service, and marketing efforts.

As AI continues to evolve and become more sophisticated, companies that experiment and adopt AI into their core operating systems will discover even more opportunities to leverage its capabilities to drive innovation, improve their businesses, and gain significant competitive advantages.

 

Post AI-Written Article Observations:

I asked ChatGPT one last question on this assignment: “Do you think AI writes well?

Here is what it said:

ChatGPT Response: “AI can be trained to write well in certain contexts. However, it is important to note that AI does not have the same level of creativity, nuance, and critical thinking skills as a human. As a result, AI-generated content may lack the depth and complexity of writing produced by a human writer.

That being said, AI can be very useful for generating content in certain contexts where the writing does not need to be highly creative or original. For example, AI can be used to generate news articles by combining information from multiple sources or to write social media posts by analyzing data on user engagement and adapting the content accordingly. In these cases, the writing produced by AI may be of high quality and suitable for the intended audience.

Overall, it is important to remember that AI is a tool that can be used to augment and assist human writers, rather than replacing them entirely.”

While stating the somewhat obvious in its response, ChatGPT helped illustrate a super important point. Companies that want to develop a serious strategy for how to best use AI to unleash the most value for their businesses need to develop their plans with “creativity, nuance, and critical thinking skills…” best provided by humans. Without a creative strategy to guide your initiatives in AI, companies risk falling into the trap of extracting the minimum value possible from one of the biggest advancements in technology in decades.

Being part of an advanced tech consulting firm like Technossus may make this conclusion a bit of a self-fulfilling prophecy, but the lesson remains compelling. The best uses of AI for the improvement of critical business operations will come from human minds that have the industry experience, creativity, and critical thinking skills to see the larger picture and be able to infuse state-of-the-art technologies like AI, ML, and robotic process engineering and align them with future business goals. This is why I am so excited about the future uses of AI to advance businesses in innovative new ways, and more specifically, why I continue to be so excited about what 2023 holds in store for Technossus.