Expedience Software
EXPEDIENCE AUTOMATES MICROSOFT WORD PROPOSALS
Use Microsoft Word to craft business proposals, RFP responses, or Statements of Work (SOWs)? Expedience delivers unmatched efficiency, flawless branding consistency, and 100% document accuracy – without ever leaving Microsoft Word!
THE MICROSOFT ADVANTAGE
Native to Microsoft Word, Expedience leverages the best of Microsoft 365:
• Use Rich Content (tables, charts, videos, PowerPoint slides, etc)
• Consistent Corporate Branding
• Copilot Generative AI
• Excel Data Integration
• Realtime Collaboration
AUTOMATED SALES PROPOSALS & SOWs
Create complete Microsoft Word document proposals, sales documents, and SOWs in just a few clicks - even from Excel spreadsheets! Consistent, accurate, and perfectly formatted every time.
TRUSTED CONTENT
Expedience stores your curated, branded, approved content in a library for quick reuse. This means that your team will have trusted content at their fingertips directly within Microsoft Word.
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Vertex AI
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Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
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Mistral AI stands out as an innovative startup in the realm of artificial intelligence, focusing on open-source generative solutions. The company provides a diverse array of customizable, enterprise-level AI offerings that can be implemented on various platforms, such as on-premises, cloud, edge, and devices. Among its key products are "Le Chat," a multilingual AI assistant aimed at boosting productivity in both personal and professional settings, and "La Plateforme," a platform for developers that facilitates the creation and deployment of AI-driven applications. With a strong commitment to transparency and cutting-edge innovation, Mistral AI has established itself as a prominent independent AI laboratory, actively contributing to the advancement of open-source AI and influencing policy discussions. Their dedication to fostering an open AI ecosystem underscores their role as a thought leader in the industry.
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Gensim
Gensim is an open-source Python library that specializes in unsupervised topic modeling and natural language processing, with an emphasis on extensive semantic modeling. It supports the development of various models, including Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), which aids in converting documents into semantic vectors and in identifying documents that are semantically linked. With a strong focus on performance, Gensim features highly efficient implementations crafted in both Python and Cython, enabling it to handle extremely large corpora through the use of data streaming and incremental algorithms, which allows for processing without the need to load the entire dataset into memory. This library operates independently of the platform, functioning seamlessly on Linux, Windows, and macOS, and is distributed under the GNU LGPL license, making it accessible for both personal and commercial applications. Its popularity is evident, as it is employed by thousands of organizations on a daily basis, has received over 2,600 citations in academic works, and boasts more than 1 million downloads each week, showcasing its widespread impact and utility in the field. Researchers and developers alike have come to rely on Gensim for its robust features and ease of use.
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