Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and machine learning or artificial intelligence concerned with the interactions between computers and human (natural) languages, in…
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…in its programs. She is also a member of ARMA, ASIS&T, and AIIM; currently working on AIIM’s C30 Committee on Electronic Document Management /Electronic Records Management (EDM/ERM) Integrated Functional Requirements….
…also has an excellent 3-part series called BPM and Steak: A Great Combo, the latest of which pinpoints MOSS capabilities designed for BPM practitioners. Microsoft’s strategy for full-scale ECM/BPM however,…
Language Weaver, a business unit within RWS’s Language Services and Technology division, is accelerating the development and deployment of generative AI technologies to enhance the capabilities of its secure, AI-powered…
…operational access to critical data. The article looks at the pros and cons, and suggests an appropriate set of no-code tools to consider for data science / machine learning. https://towardsdatascience.com/what-if-you-had-to-build-a-data-stack-with-no-code-tools-c01380697117…
…AtScale Enterprise semantic layer platform now incorporates: Semantic Predictions – Predictions generated by deployed AI/ML models can be written back to cloud data platforms through AtScale. These model-generated predictive statistics…
…and Syncro Soft. Opinion / Analysis Artifice and intelligence The Center on Privacy & Technology at Georgetown Law’s Emily Tucker explains why they will stop using the terms “artificial intelligence”,…
…and manage costs while capturing the value of democratizing data. AtScale’s semantic layer eliminates the friction of moving BI, artificial intelligence and machine learning workloads to the cloud. By leveraging…
