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How IT leaders use agentic AI for business workflows

CIO

AI agents are valuable across sales, service, marketing, IT, HR, and really all business teams, says Andy White, SVP of business technology at Salesforce. An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds.

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DocRaptor Review – HTML to PDF API

The Crazy Programmer

Here, in this article, we’ll review the DocRaptor tool, an HTML to PDF API converter. The DocRaptor review will briefly discuss how it works with Python, some code examples, features, benefits, and perhaps pros and cons. DocRaptor is an HTML to PDF and Excel format transforming document API. What is the DocRaptor Tool?

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. This is illustrated in the following figure.

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How PwC and SAP are doing right by helping clients unlock ESG value

CIO

When presented by the new Supply Chain Due Diligence Act ( SCDDA) in Germany, PwC realized their clients would need tools and processes to automate evaluation of suppliers. In addition, the app provides options for defining and tracking measures for high-risk suppliers, as well as documentation and reporting.

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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP

John Snow Labs

When we fit() on the pipeline with a Spark data frame, its text column is fed into the DocumentAssembler() transformer and a new column document is created as an initial entry point to Spark NLP for any Spark data frame. Then, its document column is fed into the SentenceDetector(), Tokenizer() and WordEmbeddings().

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Legal NLP Releases Law Stack Exchange Classifier, Subpoena NER and more

John Snow Labs

internet”) due to limited examples. setInputCols(["document", "token"]).setOutputCol("class") Subpoena NER This model is trained on an in-house dataset to identify entities in Subpoena documents. We’ve got 30-days free licenses for you with technical support from our legal team of technical and SME.