In this Intel on AI podcast episode: Manually gathering, processing, and analyzing unstructured data is extremely effort and time intensive. For industries such as insurance or finance this is a big issue and can cost an organization much time and money to address. Antonio Filho, Head of Machine Learning at Nuveo, joins the Intel on AI podcast to discuss how the Nuveo Ultra OCR (Optical Character Recognition) solution eliminates the bureaucracy enabling companies to process documents and payments through an automated system saving time and money. He illustrates how their solution enables computer systems to rapidly classify image files and extract useful metadata for export to a spreadsheet or database effectively unlocking the information trapped in a PDF or TIF image. This alleviates manual data entry by letting the computer read all the characters in a document. Antonio also emphasizes how Nuveo’s solution saw a performance beyond their expectations upon optimizing the inference with Intel optimized tools running on systems powered by Intel Xeon Scalable processors.

To learn more, visit:
nuveo.ai

Visit Intel AI Builders at:
builders.intel.com/ai

Tags: AI, Antonio Filho, artificial intelligence, deep learning, machine learning, natural language processing, Nuveo OCR, Nuveo Ultra OCR, Optical Character Recognition, Supercomputing, Xeon Scalable
 
Posted in: Artificial Intelligence, Audio Podcast, Intel, Intel on AI