Skip to main content

And here comes vision! ChatGPT's new feature applied to Team Alignment...

Let's assume that a consultant specializing in team alignment has conducted workshops with an executive board and a management board. The results are summarized in the map below. Can ChatGPT help  interpret the results and formulate recommendations?

To some extent that I leave to your critical appreciation, it can! And in my eyes this might be the biggest breakthrough after the launch of plugins this year.  I demonstrate this new feature in my experiment at the end of the post. 

Although the results are - as always with AI - not perfect yet and need critical analysis, this means that ChatGPT has been hit by a new wave of innovation with its new vision feature. 

At its core, this technology lets the AI look at maps, graphs, and pictures and figure out what they mean and how to use them to gain insights. In a sense, it has given an AI chatbot the power to "see."

It's impossible to overstate how important this progress is. When AI vision is added to ChatGPT, it goes from being a text-based chat model to something that can understand what it sees. This change looks like it will improve how we think about and use AI in many areas.

The AI vision offers huge changes in the field of education. Imagine that students are having a hard time with difficult topics like cellular biology or difficult math problems. These people can use ChatGPT's vision tool to show the AI visual data and get clear, detailed answers. It's like having a personal tutor at your fingertips who can help you understand complicated diagrams or solve hard equations by looking at a picture you share.

There are also big benefits for the business world. Businesspeople can use this technology to get greater insights into data visualizations, which helps them make better decisions. An AI that can understand what it sees can help with market research, evaluating competitors, and making strategy plans. AI vision can for example be combined with tools like Stefano Mastrogiacomo's Team Alignment Map, which is meant to improve teamwork and alignment, as shown in the experiment below. 

There are clear business benefits. It is expected that better teamwork, smarter decisions, and easier access will lead to better results and higher profits. But these benefits come with moral questions. Debates center on issues of data monitoring, possible biases in AI interpretations, and the very nature of how humans and machines interact.

In the end, ChatGPT's new vision feature is a major turning point in the history of AI. It has the ability to make huge changes in business, education, and how people interact with each other. 

Takeaways for teachers: 
  1. Personalized Learning: AI vision can act as a powerful tool to foster individualized learning. Teachers can utilize it to help students understand complex subjects by presenting visual data, ensuring that each student receives insights tailored to their specific needs and comprehension levels.
  2. Enhanced Engagement: With AI's ability to interpret and explain visual content, lessons can become more interactive and dynamic. Teachers can incorporate diverse visual materials into their teaching methods, and with AI's assistance, create a more engaging and immersive learning environment.
  3. Continuous Professional Development: As AI vision becomes more integrated into educational systems, it's crucial for teachers to stay updated with this technology. Embracing AI vision can not only enhance their teaching methods but also provide them with tools for their own professional growth, enabling them to better guide their students in this evolving digital age.
Takeaways for students: 
  1. Empowered Self-Learning: AI vision offers students an avenue for independent study. Whenever they encounter complex visuals, diagrams, or concepts, they can use AI tools like ChatGPT to gain clearer explanations and insights, fostering a proactive approach to their own education.
  2. Broadened Horizons: With AI's capability to interpret a wide range of visual data, students can venture beyond traditional textbooks. They can explore diverse sources of information, be it graphs, charts, or other visual aids, confident in their ability to comprehend and analyze with the assistance of AI.
  3. Future Preparedness: As technology, especially AI, continues to shape various industries, students who are familiar with and embrace these advancements will be better positioned for future academic and professional pursuits. By leveraging AI vision in their learning journey, they not only enhance their present studies but also equip themselves with skills essential for the evolving digital landscape.
Takeaways for business analysts:
  1. Enhanced Data Interpretation: AI vision introduces a new dimension to data analysis. Business analysts can now delve deeper into visual content, such as charts, graphs, or even real-world images, and extract valuable insights with the aid of AI. This allows for a more comprehensive analysis, encompassing not just numerical data but also visual cues.
  2. Efficiency and Accuracy: With the integration of AI vision tools, business analysts can expedite certain processes that previously required manual input or interpretation. The AI can quickly scan and interpret vast amounts of visual data, ensuring swift and accurate insights, which can be pivotal in time-sensitive business decisions.
  3. Strategic Forecasting: AI vision, combined with predictive analytics, offers business analysts a robust toolkit to anticipate market trends and shifts. By analyzing visual trends and patterns, analysts can provide businesses with strategic recommendations grounded in both current data and predictive insights, leading to more informed and strategic decision-making.
Source of the adapted map: Mastrogiacomo, S. & A. Osterwalder. High-Impact Tools for Teams. Wiley, 2021. 

This post has been cowritten with ChatGPT. Please beware that AI is fascinating and can catch your full attention for hours. Get the balance right! > more?

The experiment:

Let's assume a consultant specializing in team alignment has conducted workshops with an executive board and a management board. The result is summarized in this map. 

Me:  What does this map show?

ChatGPT: This map appears to represent a comparison between the perspectives of an "executive board" and "management" on various organizational matters:

Objectives: The map highlights the potential dichotomy between objectives being "confused" versus "clear".
Commitments: There's a distinction between commitments being "implicit" (i.e., not explicitly stated or understood) versus "explicit" (clearly stated and understood).
Resources: The map showcases the availability of resources, contrasting between them being "unavailable" and "available".
Risks: It differentiates between risks being "underestimated" and "under control".

The blue circles in between each pair of contrasting terms suggest a spectrum or a sliding scale, indicating that an organization's state can lie anywhere between these two extremes. The map seems to be a tool to assess and visualize the alignment or misalignment between the perspectives of the executive board and management on these four key areas. This can be a valuable visual for addressing areas of miscommunication or misunderstanding and can serve as a starting point for discussions to align both groups more closely.

Me: Can you give some advice to the executive and the management board?

ChatGPT: Certainly! Based on the map provided, here are some pieces of advice for both the executive and the management board:

For the Executive Board:

Clarity in Communication: Ensure that objectives are clearly defined and communicated. Ambiguous objectives can lead to wasted resources and misaligned efforts.

Explicit Commitments: Instead of making implicit assumptions or promises, always be explicit about what is expected from the management and what they can expect from the board.

Resource Allocation: Make sure that the necessary resources, both in terms of manpower and tools, are made available for the management to effectively achieve their goals.

Risk Assessment: Regularly engage in risk assessment exercises. Understand the potential risks faced by the organization and ensure that they are not underestimated.

Feedback Loop: Create a regular feedback loop with the management team to understand their challenges and provide the necessary guidance or support.

For the Management:

Seek Clarification: If objectives or commitments are not clear, seek clarification from the executive board. Don't work based on assumptions.

Report Resource Challenges: If resources are unavailable or insufficient, communicate this to the executive board promptly, providing potential solutions or alternatives.

Risk Management: Regularly monitor and manage risks. If you believe certain risks are being underestimated, escalate them to the executive board with your assessments and recommendations.

Engage in Dialogue: Foster a culture of open dialogue with the executive board. Address any misalignments or concerns proactively.

Data-Driven Decisions: Wherever possible, base your decisions and reports on data. This can provide clarity and reduce the potential for confusion or misalignment.

For Both:

Collaborative Alignment Sessions: Periodically conduct alignment sessions to ensure that both the executive board and management are on the same page regarding objectives, commitments, resources, and risks.

Training and Development: Invest in training and development sessions that promote better communication, risk management, and resource allocation.

Embrace Transparency: Create an environment where transparency is encouraged. This can help in addressing any implicit assumptions or confusion.

Trust and Respect: Trust each other's expertise and roles. Mutual respect can go a long way in reducing misalignments and fostering a collaborative environment.

By addressing these areas, both the executive and management boards can work more synergistically, leading to a more efficient and effective organization.


Popular posts from this blog

Rethinking Exams in the Age of Chatbots

Today's experiment explores the potential of ChatGPT to assist me in the realm of exams, particularly within my field of teaching, Business Analysis. Can ChatGPT create a question for an exam? Indeed, it can do even more! In the experiment below, ChatGPT showcases (to varying extents) its ability to not only generate an exam question but also to engage in several related tasks: Generate a difficult critical question Solve the question Critically evaluate the solution (its own solution!) Attribute a mark between 1 and 6 Attribute a severe mark between 1 and 6 Defend a mark Refute a mark Generate a variation of the question which is difficult to solve Generate a variation of the question which is even more difficult to solve Give a correction scale with marks from 1 to 6  The impact of AI and chatbots like ChatGPT impact on university exams is becoming increasingly evident. Students and teachers alike are beginning to discover these tools, questioning their potential to generate, cor

Harnessing AI to Refine Educational Courses: My Experience with ChatGPT's Capabilities

In a recent interaction, I showcased the potential of OpenAI's ChatGPT in assisting educators to refine their course structures. My experiment began by predefining a context using a comprehensive list of Business Analysis Techniques. Following this preprompt, I presented a current undergraduate course structure that needed modification. The goal? To identify and recommend new Business Analysis techniques appropriate for each chapter of the course.   The Power of Contextual Communication with ChatGPT One of the most striking elements in this experiment was the emphasis on context. My initial "preprompt" set the stage by providing ChatGPT with a menu of options to consider. This allows for a directed, topic-specific conversation, where the AI can pull from a given set of data. The "postprompt" then elaborated on the current course structure, allowing ChatGPT to compare, contrast, and make recommendations based on the established context. Quality and Limitations of

ChatGPT predicts Real Estate Prices !

Is it possible to predict real estate rental prices without writing a single line of code? I asked ChatGPT to generate a complete solution. And was stunnded by its answers... Artificial Intelligence has once again pushed the boundaries of what we thought was possible. The AI field has presented us with a stunning demonstration of its ability to not only assist in writing code, but to single-handedly create a complete, working Random Forest Regression solution. Yes, you read that right. ChatGPT, an AI model developed by OpenAI, is now proficient enough to autonomously develop a complex web application to predict real estate prices. And the most exciting part? You don’t need to write a single line of code! How Does it Work? In a fascinating experiment (below at the end of the post), ChatGPT was tasked with developing a complete web solution on PythonAnywhere. The brief was complex: create a webpage where users could upload a CSV file with geographical coordinates and real estate rental p