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10 Best Data Extraction Tools (September 2023)

Unite.AI

However, before data can be analyzed and converted into actionable insights, it must first be effectively sourced and extracted from a myriad of platforms, applications, and systems. This is where data extraction tools come into play. What is Data Extraction? Why is Data Extraction Crucial for Businesses?

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Businesses can now easily convert unstructured data into valuable insights, marking a significant leap forward in technology integration.

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Microsoft and OpenAI probe alleged data theft by DeepSeek

AI News

According to Bloomberg , the investigation stems from suspicious data extraction activity detected in late 2024 via OpenAIs application programming interface (API), sparking broader concerns over international AI competition. A banner on its website informed users of a temporary sign-up restriction.

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The Pace of AI: The Next Phase in the Future of Innovation

Unite.AI

If the sales team isn’t communicating updated forecasts to procurement, they might secure long-term contracts based on outdated information, locking into agreements that may not align with current customer demand.

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Developer Barriers Lowered as OpenAI Simplifies AI Agent Creation

Unite.AI

Announced last week, the update introduces a Responses API, an open-source Agents SDK, and built-in tools for web search, file search, and computer control all designed to streamline how AI systems interact with real-world information and applications.

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Sparrow: An Innovative Open-Source Platform for Efficient Data Extraction and Processing from Various Documents and Images

Marktechpost

Organizations face challenges when dealing with unstructured data from various sources like forms, invoices, and receipts. This data, often stored in different formats, is difficult to process and extract meaningful information from, especially at scale.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.