Let AI discover values

To continue to this analytical journey, a large set of content can be overviewed by AI routines. There is a typical kind of tool for the corresponding content type that you have. Let’s assume that you have news about the market in the form of text. This information can be derived from websites, studies, reports, blogs, books, or social networks. The later language processing AI robots are trained to understand the meaning similarities, used to discover topics, keywords, entities, measure sentiment, and do much more. For sake of simplicity imagine that you recorded behavior data and can be compared to collective behavior measures of a group based on the content that they generate. Therefore, the main properties of the content are efficiently described with the help of AI summarization, top list of keywords, and topics. The following chart illustrates how such results make up a summary board.

Compare your data to the community

Sure, you can collect information with diligence and look back to the collected information with nice charts. What if you vote regularly for our important values measuring how much you still believe them? This puts yourself in context. Then you want to know how this self-reflected status is situated in a group of people having the same kind of properties. What if you are working in the service industry and want to know how this industry changes the value proposition. Call it collective value updates. It might turn out that you perfectly foresee things or evenly it can turn out you are lagging behind others. That discovery should provide you with a good impulse on how to engage you in your next goals. AI algorithms are very good at collecting such information and analyze the sentiment of a group in general or compare your values to the actual value of the market, even your own specific market segment. Even a single market snapshot is a huge work for human, image how much work it is to run a trend analysis on those data. The following chart is a sample illustration of how one of your values is transitioned to similar, but more market conforms set of values. At the same time, you achieve a value enhancement as a result.

Topics and keywords in summarization

To continue to this analytical journey, a large set of content can be overviewed by AI routines. There is a typical kind of toolbox for each corresponding content type that you have. Let’s assume that you have news about the market in the form of text. This information can be derived from websites, studies, reports, blogs, books, or social networks. The later language processing AI robots are trained to understand the meaning similarities, used to discover topics, keywords, entities, measure sentiment, and do much more. For sake of simplicity imagine that you recorded behavior data and can be compared to collective behavior measures of a group based on the content that they generate. Therefore, the main properties of the content are efficiently described with the help of AI summarization, top list of keywords, and topics.  The following chart illustrates how such results make up a summary board.

Do custom template, improve regularly, dashboard

Meanwhile, you keep monitoring some simple but meaningful personal properties you can compare the result to fresh market indicators. Indicators are meant in a wider context. This is no longer a simple set of numbers but meaningful summarization of the collective trends around. You can position your recent status of personal development, motivation by reflecting your goals and values to traits of communities. When walking through the development path, a series of snapshots will draw the trend, point to the pattern of success. It is always your decision to follow that or even innovate further with courage. Whichever choice you make you are protected by valuable market information, controlled by trained and explainable AI algorithms. Most of the cases the fine-tuning of the AI tool is in your hand. Depending on multiple factors, you are free to customize the inside part of the learning and recommendation robot and also have infinite options to present the result for your taste. See an example in the illustration of an AI-empowered dashboard.

Conclusion

In the business environment, there cumulates an exponentially increasing amount of information that influences your future. Having clarity about your values and goals is not the only fraction of properties that you need to consider. There is a need for a regular update of both self-reflection and market information and merge them together. The combination of those two sources provides you with the proper background to have a decision about the next step in your life, career, or name it as you will. Collecting and summarizing market data can any longer be a manual task considering the required capacity. That is where AI tools come handy. Those intelligent tools can also help in merging together market data and personal characteristics. Furthermore, consider that the situation changes rapidly, it even makes sense to check out the trends on a daily base. That might happen that you need to react very quickly for a change. Those changes can impact your health, career, personal network, and growth opportunities for the rest of your life. Start thinking about AI, understand better the tools that become a commodity in the last couple of years. It become reality to assemble a AI-fueled dashboard that works specifically for you and supports the orientation in the fast transition of life context. After experiencing this machine-assisted process it can soon become a fun routine that strengthens continuous personal improvement and offers new discoveries.