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Teamleader Talks SMBs’ Technology Journeys

PYMNTS

Small businesses struggling to embrace digitization must take the first step to adopt technologies, says Teamleader. According to Teamleader product owner Pieter Reel, entrepreneurs understand the need to adopt technology, even if they haven’t yet taken action to do so.

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The Future of Analytics: The Revolution Will Be Unstructured

FICO

Here are several important benefits: Discovery through machine learning: Text in email messages, call center logs, CRM applications and collection agent notes is readily understood by people, but it’s meaningless to traditional predictive models. Handling complexity: Unstructured and semi-structured text (e.g.,

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Electronic Invoicing Opens A Door To SMB Digitization

PYMNTS

How does one know when to leap into a new technology without getting hit with issues like implementation problems, technical challenges and the threat of a wasted investment? What’s more, how can a business feel confident in embracing a new technology when the next generation of an innovation could be just around the corner?

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Top Parseur alternatives to automate data extraction

Nanonets

A quick comparison of Parseur alternatives Tool Core technology Free version Integrations Best for Key advantage G2 Rating (Max 5) Parseur AI/Template Yes Many Varied formats Visual template builder 4.9 Exports to multiple formats (Excel, CSV, JSON, XML) 7. Zapier, sheets, CRM) How quickly do you need support responses?

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Best OCR Software of 2023

Nanonets

OCR or Optical Character Recognition is a technology that identifies & recognizes text within scanned documents, photos or images. OCR software leverages this technology to extract data from PDFs or scanned documents by converting it into machine-readable text data that can be edited & stored more conveniently for further processing.

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Intelligent Data Extraction: Everything you need to know in 2024

Nanonets

Intelligent Data Extraction is an automated process of accurately identifying and extracting relevant data points from documents leveraging modern-day technology. Integration with existing systems (ERP, CRM, etc.) Structured data output (JSON, XML, CSV, etc.) But why do we need it? What is Intelligent Data Extraction?

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The role of AI in data extraction and document processing

Nanonets

Data extraction can refer to scraping information from web pages or emails but includes any other type of text-based file such as spreadsheets (Excel), documents (Word), XML , PDFs, etc. Today, with the help of AI, data extraction has become much more accurate and intuitive.

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