How Artificial Intelligence Decoded Historical Data To Rewrite History |
Posted: February 23, 2022 |
Most customers complain about the amount of data they generate, which often includes multiple silos, formats and different systems. They have no idea how to interpret these massive amounts of data collected and use it to add value to their business. This is where data analytics consulting services comes into play. Historically, the documents were stored on paper using ink. The information found has significant historical importance but could not be easily analysed using modern technology. They were also missing key insights about the history of the country. Data analytics consulting services can help make sense of all of the data and make it useful. Artificial Intelligence Being Used To Uncover Lost History Aside from the documents themselves, many old documents also had different writing styles. Many of them used terms that are no longer used in modern times. Translating old information into new data that's understandable can be made easier using data analytics consulting services. Using the Azure Cognitive Services platform, NovaWorks was able to create models that can detect handwriting styles and translate the old English terms into the language of today. This project allowed the customer to make the data more accessible to the public. Through AI technology, the customer was able to create a comprehensive view of their history, giving them the chance to research historical events, find trends and then give the data to the citizens with full transparency. The Business Applications Possible is Expanding Digitisation has allowed companies to store and retrieve historical data on their own. This allows them to archive those documents that would otherwise be lost in them. None of this could have been done before the late 1900s. Aside from this, technology may also be used to digitally transform any data collected from paper forms. This could include the data from various forms such as loan applications, insurance claims and medical paperwork. This technology is ideal for industries that deal with large amounts of data. It can store and retrieve data in real-time, and it can then inform business decisions based on the extracted data. Where to Go From Here? Beyond retrieving and digitally storing data, machine learning technology may be used to create new algorithms that can use large data amounts and extract meaningful insights. The customer's recruitment process was automated using AI technology. Using the data collected, the system was able to identify the most favourable locations for hiring staff. Jarvis.ai is an example of an AI-powered content creation system that works seamlessly across various platforms such as blogs and social media. The use of data analytics consulting services helps make copywriting available to all.
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