With the oil crisis, the bursting of the dot-com bubble, the financial and banking crisis, and the COVID-19 pandemic, the past fifty years have seen several economic shocks that often had severe consequences for the business landscape. Governments are often only able to provide targeted support and respond appropriately to such unexpected events with a significant time lag, as appropriate data is usually not available at the beginning of a crisis. AI-based analysis of corporate websites can remedy this situation by complementing traditional survey methods and providing reliable early forecasts in a timely manner. This is shown by studies conducted by ZEW Mannheim in cooperation with Justus Liebig University Giessen during the coronavirus crisis.
Companies, like all economic players, are leaving behind digital traces of their activities to an increasing extent. The Digital Layer approach leverages these data sources and provides an alternative method for analyzing company networks. The integration of the Digital Layer approach into webAI provides our customers with a new tool for capturing and analyzing enterprise networks.
Web-based AI indicators offer a comprehensive, granular, up-to-date and cost-effective alternative to traditional data collection methods. We at istari.ai are pioneers in the field of web-based indicator technology. With webAI, we are developing an artificial intelligence that provides our customers with market and company information in real-time.