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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

Big Data 141
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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Summary: Big Data tools empower organizations to analyze vast datasets, leading to improved decision-making and operational efficiency. Ultimately, leveraging Big Data analytics provides a competitive advantage and drives innovation across various industries.

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Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. A growing number of screenwriters are discovering the wonders of big data.

Big Data 128
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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 158
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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. In entered the Big Data space in 2013 and continues to explore that area. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

SQL 121
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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

To do this, the text input is transformed into a structured representation, and from this representation, a SQL query that can be used to access a database is created. The primary goal of Text2SQL is to make querying databases more accessible to non-technical users, who can provide their queries in natural language. gymnast_id = t2.

SQL 141
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Designing generative AI workloads for resilience

AWS Machine Learning Blog

Data pipelines In cases where you need to provide contextual data to the foundation model using the RAG pattern, you need a data pipeline that can ingest the source data, convert it to embedding vectors, and store the embedding vectors in a vector database. Vector database features built into other services.

AWS 140