Business Analysis with Artificial Intelligence in Year 20XX

Have you ever imagined what the future holds for practitioners of business analysis with artificial intelligence? Well, let’s embark on a futuristic adventure and find out how the collaboration between these Business Analysis (BA) and artificial intelligence (AI) can revolutionize the way we perceive and respond to business changes. Get ready for an exhilarating journey!

Watch the YouTube video

The video: A Futuristic Vision of Business Analysis with Artificial Intelligence

Imagine a world in the year 20XX – I don’t dare to put a specific number here. I’ll leave that challenge up to you – where a business analyst uses an AI assistant to help them in their daily tasks. It’s like having a super-smart and up-to-date friend in the palm of your hand whom you can chat with, ask questions, and assign those boring tasks that need to be done but you don’t want to do! They communicate through an incredible interface using natural language and images with real-time information.

Benefits of Collaboration Between Humans and AI

With this envy-inducing partnership, the analyst has access to a range of functionalities that make their life easier. They can rely on AI to organize their schedule, check their daily tasks, and even analyze their company’s past business transactions. It’s like having an ultra-efficient personal assistant!

As an expert in detecting patterns and trends, AI helps the analyst identify unusual behaviors. Nothing escapes the sharp eyes of this duo! AI presents graphs and diagrams for the analyst to visualize information clearly and intuitively. The analyst specifies new requirements for the AI to implement in a blink of an eye and the business is updated during the time of a conversation.

Limitations and Challenges of Business Analysis with Artificial Intelligence

This is a futurist scenario. Despite recent advances in AI, there are still some limitations to overcome. For a scenario like the one in the video to be possible, AI would need access to comprehensive and up-to-date information databases from the organization. There is still much work to be done to improve data quality and ensure that AI has access to all relevant information without compromising the privacy and security of those involved.

Among the information sources listed in the video, we can identify:

Commercial transaction database: To evaluate the company’s recent commercial transactions, AI would need access to a database containing information on the transactions carried out by the company.
Customer transaction data: To identify out-of-pattern behaviors, AI would need access to customer behavior data, such as the purchasing process and interaction with the company’s system.
Knowledge base on business policies and rules: AI would need access to a knowledge base containing the applicable business rules to identify recent changes and provide relevant information to the analyst.
Company performance data: AI would access company performance data, such as key performance indicators (KPIs), financial metrics, and operational data, to present trend graphs and comparative analyses.
Knowledge base of lessons learned: To display possible root causes in a fishbone diagram, AI would need access to a knowledge base containing a comprehensive list of root causes related to identified problems.
Source code and development system: To update the code and make necessary changes, AI would need access to the source code of the system in question and a development environment that allows for the implementation of those changes, as well as access to deployment in controlled testing and production environments.

It seems that today no one is willing to provide all this information to tools like ChatGPT. Especially when it comes to automating system changes in production. The future AI will need to respect data protection policies and ensure that information is used safely and responsibly. Collaboration between humans and AI requires a conscious and transparent approach.

Available and Developing Technologies

But don’t think we’re too far off, technology is advancing by leaps and bounds! There are already several AI technologies available that do much of what was listed in this story, and researchers continue to work hard to improve their capabilities.

Here’s a list of functionalities that are offered by AI in the video about the future and that are already provided in some way by current technological solutions:

Speech recognition and transcription.
Access to an AI Assistant Interface using natural language.
Responding to questions and requests with relevant guidance.
Visualizing AI responses in the form of a person using an avatar.
Presenting information projected in images and graphs.
Task lists and user agenda control.
Trend analysis based on available data.
Identifying possible root causes in a fishbone diagram.
Information about change history in the knowledge base.
Analysis of business rules.
Comparing data from different periods for quantitative analysis and pattern identification.
Generating source code.
Configuring alarms.

Soon, we will have even more intelligent and efficient AI by our side, performing these tasks with much greater reliability. The integration between them is just a matter of time.

Impacts and Future Considerations for Business Analysis with Artificial Intelligence

The collaboration between business analysts and AI promises to revolutionize the way we work making business much more nimble. This partnership allows analysts to focus on more strategic and creative analysis, while AI takes care of routine tasks and complex data analysis. Together, they form an unbeatable team!

But the role of the business analyst is crucial in this story. AI is an incredible partner but still relies on human knowledge to interpret results, make decisions, and act ethically. The union between human brains and computational power is the secret to success.

Final Thoughts

This video is just a glimpse of what the future may bring and a provocation for us to think about it. As analysts, we are responsible for defining the requirements that will guide the next steps. We are at the forefront of our companies’ business evolution initiatives and need to lead the debate on how to use AI ethically, responsibly, and safely.

The collaboration between business analysts and AI is just beginning. Embrace this partnership, be open to possibilities, and get ready for a journey full of discoveries and innovations. Together, BA and AI can create a smarter, more dynamic, and more productive business world!

If you haven’t watched it yet, why not check out the video that accompanies this article at the beginning? There, you’ll find an animated and entertaining vision of this futuristic adventure. Let’s embark on this exciting journey together!

References

For the production of this article and video, prompts and tests were carried out with the language models based on Artificial Intelligence:

Chat GPT, OpenAI, https://chat.openai.com/chat

The figure used in the video to represent ChatGPT was created on:

Synthesia, https://synthesia.io/