As the world becomes increasingly digitized, companies are collecting more data than ever before. However, the sheer volume and complexity of this data can make it difficult for organizations to extract meaningful information and insights. This is particularly true for data that is unstructured, such as text-based data from social media, websites, and customer feedback. The manual process of sifting through this data is time-consuming and overwhelming, and without proper structuring and summarization, it is virtually impossible to make use of it.
In addition to the challenge of managing large volumes of data, companies often struggle to access the data that they need. For example, a company may want to collect information about its competitors, customer opinions on its products, or data about its industry. This information is readily available on the web, but the effort of searching through thousands of websites to find it is too much for humans to handle. This is where the problem lies – companies need to have access to this data, but they don't have the resources or tools to collect it in a way that is efficient and effective.
Intellegam has developed a solution to address the challenges of managing complex and varied data in companies. The company has created AI-based web-crawlers, or data collection engines, that can search the web for relevant information. These data collection engines are capable of sifting through thousands of websites overnight, providing companies with the data that they need in a fraction of the time it would take to collect it manually.
Once the data has been collected, Intellegam's machine learning systems can then generate summaries from the text or classify the information into structured categories, making it easily embeddable into the specific systems used by companies. This streamlines the process of managing large volumes of data and makes it easier for organizations to access the information that they need.
The benefits of Intellegam's solution are numerous. Companies can rapidly expand their databases and access previously unreachable data, allowing them to gain unexpected insights that can help drive growth and improve their overall operations. In addition, by automating the process of collecting and categorizing data, companies can free up their employees to focus on other tasks, increasing efficiency and productivity.
Another key benefit of Intellegam's solution is that it helps companies to make sense of their data. With the sheer volume of data that companies collect, it can be difficult to identify patterns and trends. Intellegam's machine learning systems make it possible to quickly and easily identify trends and patterns, making it easier for companies to make data-driven decisions.
One example of an industry that could greatly benefit from Intellegam's solution is e-commerce. The massive amount of data generated by e-commerce websites, including customer information, purchase history, and product data, can be overwhelming to manage. By using Intellegam's AI-based web-crawlers and machine learning systems, e-commerce companies can streamline the process of gathering and categorizing this data, making it easier to use for marketing and sales purposes. This can lead to more effective marketing campaigns, improved customer satisfaction, and increased sales.
Accessing Unreachable Data & Gain Unexpected Insights from Your Data