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Exploring synthetic data generation with BigQuery DataFrames and LLMs

In the realm of big data analytics, a common challenge has been the separation between data processing and machine learning workflows. Traditionally, data engineers would use tools like Apache Spark for large-scale data processing in data warehouses like BigQuery, while data scientists would leverage libraries like pandas and scikit-learn for machine learning tasks. This disjointed …

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Omnichannel Marketing with AI

Omnichannel Marketing Businesses today are constantly seeking innovative ways to engage with their customers. With the rapid adoption of mobile devices clubbed with the rapid proliferation of social media platforms and mobile apps, customers today seek proactive support from businesses. They expect personalized, timely, and seamless interactions across all touchpoints. In response to these evolving …

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Code generation using Code Llama 70B and Mixtral 8x7B on Amazon SageMaker

In the ever-evolving landscape of machine learning and artificial intelligence (AI), large language models (LLMs) have emerged as powerful tools for a wide range of natural language processing (NLP) tasks, including code generation. Among these cutting-edge models, Code Llama 70B stands out as a true heavyweight, boasting an impressive 70 billion parameters. Developed by Meta …

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How to integrate Gemini and Sheets with BigQuery

I often find myself in Google Sheets. Some would say too often. Since I use Gemini for all kinds of things too, integrating Gemini into my Sheets workflow just makes sense. I can boost my productivity in Sheets with capabilities like summarizing sheets and creating formulas. Gemini is now available in Gmail, Docs, Sheets and …

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Chugai Pharmaceutical: Accelerating drug discovery through AI, machine learning and data analysis

Chugai Pharmaceutical is one of the leading companies in the pharmaceutical industry driving digital transformation (DX) and has been selected as a ‘DX Brand’ by Japan’s Ministry of Economy, Trade, and Industry and the Tokyo Stock Exchange for three consecutive years. We were also named the “Digital Transformation Platinum Company 2023-2025” under the DX Stocks …

Round 2: A Survey of Causal Inference Applications at Netflix

At Netflix, we want to ensure that every current and future member finds content that thrills them today and excites them to come back for more. Causal inference is an essential part of the value that Data Science and Engineering adds towards this mission. We rely heavily on both experimentation and quasi-experimentation to help our …

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Build RAG applications using Jina Embeddings v2 on Amazon SageMaker JumpStart

Today, we are excited to announce that the Jina Embeddings v2 model, developed by Jina AI, is available for customers through Amazon SageMaker JumpStart to deploy with one click for running model inference. This state-of-the-art model supports an impressive 8,192-tokens context length. You can deploy this model with SageMaker JumpStart, a machine learning (ML) hub …

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Hands on with Gemini models in BigQuery: Decoding sentiment in customer reviews

Sentiment analysis is a powerful tool that uses natural language processing (NLP) to uncover the underlying emotions (positive, negative, neutral) within text such as customer reviews. This analysis can offer valuable insight into how customers perceive your products, services, and brand overall. Furthermore, by utilizing techniques like topic modeling and keyword extraction, you can identify …