Current genAI shows a contractionary picture. Consumer AI produces widely acceptable content and praised. Whereas Enterprise AI projects fail at the rate of 95%. Only area where genAI is useful in coding applications that too has issues when codebase size grows. We need to understand why Consumer AI works and Enterprise AI. With all the 100s of billions poured into Large Language Model (LLM) AI now called generative AI, why promised changes in businesses not seen even after 3

Diagnosis is a complex task. Before treatment can even begin, doctors spend hours on testing, reviewing reports, and consulting. Diagnosis, in fact, accounts for up to 90% of the cost and time spent on a given ailment. While the advent of advanced testing and imaging technologies has improved diagnostic accuracy and reduced time to diagnosis, making a definitive connection between a person’s symptom profile and a specific disease condition remains a complex task. Machine lear

Why does a Tech company get emails from Food experts? In this video founder Rajasankar Viswanathan talks about his experience with lead generation tools and the issues he faced. How do spam filters with basic Machine learning training can spot irrelevant mails for better? ​ Contact info at naturaltext dot com for a free trial

Building the list of potential le​ads, accounts and companies is the hardest task in the lead generation. NaturalText AI offers a new way to do that. Finding relevant information in a hosted database is hard. Enterprise search is hard because there is no way that information can be ranked. NaturalText AI offers a unique method to create connections between documents, rows of a database so that network graphs can be created, search results can be ranked. For example, in findin