Artificial intelligence technologies have been increasing the efficiency and optimi- zation of businesses which, in turn, have also improved the overall employee and customer experience. Here, we will look at an AI platform company known as Hyperscience. The company was established in 2014, which offers platforms and products to other companies in varying industries to increase their businesss effi- ciency and overall competitiveness. Their platforms are AI-based and evolve to become much more effective than others.

The Hyperscience AI platform promotes six aspects: Document Processing, Flow Studio, Code Blocks, Connectivity, Reporting, and Supervision (https://hyper- science.com/). For Document Processing, the Hyperscience Platform can decrypt and pull important data out of complex documents. The input can be any unstruc- tured text, and the company will use AI technology to convert the input into action- able data that is easy to process. For the Flow Studio and Code Blocks, the company will increase the data analyzing efficiency, which includes data visualization and a clear user interface. End-to-end solutions will be generated based on the background of their company customer. For connectivity, companies can use the Hyperscience Platform alongside other technological systems.

The Hyperscience platform will confirm the accuracy of the extracted data by verifying it on different platforms. For reporting, the platform will gather much more data outside of the input documents, like how exactly the companys automation is improving customer experience and satisfaction, pinpoints and locates bottlenecks within the processing, and also employee performance. For supervision, the platform will incorporate their human- in-the-loop technology in combination with their AI technology.

The classification-based AI technology is used for Intelligent Document Processing (IDP) solutions in Hyperscience. The AI will automatically process the big data and extract the knowledge that is needed without any human intervention. The data is converted to a useful form using Hyperscience IDP software, such as the well-known languages JSON format (Javascript Object Notation). After the confir- mation from a firm, the data extraction for documentation is begun by scanning and/ or uploading documents to the platform. Once uploaded, the AI technology can be used to process the data (structured, unstructured, or semi-structured) automatically, such as recognizing handwritten texts. The process is usually fast, which will lead to a better customer service experience. In addition, the user will get notifications to supervise the low-confidence fields of data that AI may have trouble processing.

Based on the users initial requirements, Hyperscience provides well-formatted data using AI and machine learning techniques. This data is presented in the form of organized Code Blocks, which are the core of the Hyperscience platform. The blocks can be independently developed and deployed by business users. Hyperscience offers competitive advantages over legacy technologies (old-school tech) and greatly reduces the manpower that would be required to cover large quantities of big data.

The final output for Hyperscience can be a website that neatly displays the rele- vant data for the firm as Code Blocks. With the help of AI technology, it is relatively easy to use the final output, and it is not limited to the specific type of data provided by the user.

Hyperscience technology can assist a firm in reducing the volume of manual work and clerical errors, improving the work performance of employees, and delivering better customer experiences. These benefits will help reduce the overall costs for a firm and increase customer satisfaction. IDP (as the primary com- ponent of the Hyperscience platform) provides a strong competitive advantage with data extraction via AI technology and enterprise-wide automation.

Question 5 : In your opinion, Hyperscience AI platform will support competitive advantage for Companies?.