Solutions & tasks

tasks

AI is suitable to be tested in almost all areas. nevertheless, a clear definition and task for the AI is necessary. Below is a small excerpt of inquiries that are sent to us.

    Industrial manufacturers must determine the sales and marketing strategy for a new product. Market analysts are needed for this


    Product manufacturers have innovative ideas and are looking for suppliers with specific technologies to be able to manufacture the product.


    Universities are looking for technology partners who have specific solutions or approaches to become partners in research projects


    Marketing, promotions and sales organizations are looking for addressees for their products and services


    Companies want to make better use of their *INSIGHT* knowledge and want to find out who has the know-how.


    Companies need to know their market acceptance, it is important to know why you are perceived as strong, weak or negative. It is important to know why the acceptance is the way it is.

solutions

There are many AI solutions, but not all are suitable to solve every challenge. The right workflow and mix makes the difference. In addition, AI solutions should be quick to use and cost-effective without having to hire new experts.

    The challenge here is that the source data is heterarchical, in different formats and disordered


    it is not enough to simply buy branch address lists. The candidates must be checked for plausibility and classified for their matching


    It is often unclear what needs to be looked for, the whole thing is a cascade process in the course of which the questions and results are sharpened and validated


    a match that is as precise as possible is required, and it is also shown why it is a good match.


    *INSIGHT* can be found everywhere, in chats, video calls, product videos, logs, conversations, images, databases, a wild source base.


    Customers must be intelligently seduced into giving their opinion/evaluation, and at the same time intelligent monitoring must be used to automatically monitor how the company is accepted.


The "Full Stack* Intelligence Process" method

    After the data has been uploaded to our database (Data Lake), the raw data is analyzed and structured. They are not changed so that we can always go back to the original state.


    Next, the CSP's Topic Analysis agents are calibrated to the client's needs and tasks, allowing the CSP to use their full capabilities to capture the topics best suited to your decision-making: We are not a canned text analytics provider .


    After we have all the data ready (internal/external, crawled URLs, etc. as well as extracting text and the images from each source, we can perform sentiment detection so you can see at a glance if most articles are on a topic are generally positive or negative.


    We apply human-in-the-loop principles to verify the reliability of enriched data and performance.


    The "ground truth" method generates a confidence score for each assessment, providing insights you can trust. the system can be traced back at any time like a blockchain to determine why the system arrives at a certain confidence level. (discrete system)


*Full-stack intelligence process describes a method in which data from different sources (e.g. databases, APIs, social media) are integrated into a single platform in order to obtain a comprehensive view of an issue or situation. This process typically includes steps such as data collection, preparation, analysis and presentation. The aim is to gain a comprehensive insight into the topic and to make decisions on the basis of comprehensive data.

The CSP-AI helps to harmonize survey results, training data, knowledge databases, expert systems, research plans and concepts, etc. and make them accessible.

Effective training and education solutions are critical, and many organizations lack adequate data to assess program effectiveness or to compare performance objects to outcomes. Industry training takes up a variety of resources and is typically developed by experts in their field.


Even when the data is available for improvement, educators and organizations lack the necessary tools to bring together the diverse resources needed to make decisions.


CSP uses AI-powered learning analytics to integrate, join, and compare large amounts of data, providing valuable insights into faculty, learner, and knowledge base analytics.


To give your data meaning, we work with you to create an interactive dashboard that makes it easier for you to implement the insights gained from the data. On the dashboard, users can drill down from organizational level to learner level to set achievable priorities and goals based on needs identified in the data and align them with strategic action plans.

For example, our experience in survey analytics, paired with interview and research analytics solutions, turns years of survey data into a knowledge repository that delivers valuable insights.