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AI and ML

Updated Sep 21, 2020 ·

Overview​

Artificial Intelligence is defined as the ability of machines to mimic human thinking and decision-making. Machine Learning, a branch of AI, enables machines to learn from data and make predictions or decisions.

  • AI simulates human problem-solving
  • ML improves performance automatically over time
  • Machines adapt without needing explicit programming for every task

AI and ML allow machines to handle complex tasks while improving accuracy over time.

Data Quality in ML​

ML models rely on the data they are trained with. High-quality data ensures better predictions.

  • Data should be clean, relevant, and up-to-date
  • Poor data leads to inaccurate predictions
  • Good data improves reliability and trust in ML models

Quality data is key because ML models reflect the data they learn from.

GCP AI and ML Tools​

GCP offers AI and ML solutions built on a fast and reliable global network. These tools are usable by beginners and experts alike.

  • Pre-built models for easy integration
  • Scalable infrastructure for AI workloads
  • Tools that work with all GCP storage and compute services

Pre-Trained Models​

GCP provides models that are ready to use for images, videos, and text analysis.

  • Vision AI detects objects and reads handwriting
  • Video AI extracts metadata and identifies objects
  • Natural Language AI analyzes text and sentiment

These pre-built models save time and cost, letting businesses add AI capabilities quickly.

ML in BigQuery​

BigQuery allows users to train basic ML models directly in the data warehouse.

  • Use familiar analytics tools to build models
  • Train models on structured data
  • Seamless transition from data analysis to ML

BigQuery makes it easy to turn data insights into predictive models.

Vertex AI​

Vertex AI is a platform for managing, training, and deploying ML models efficiently.

  • Supports both AutoML and custom training
  • Centralizes GCP’s ML services on one platform
  • Streamlines building and deploying models

You can analyze images, translate text, or predict future outcomes. With no-code tools or advanced options, Vertex AI adapts to business needs.

AutoML vs Custom Training​

AutoML automates model building for beginners, while Custom Training offers flexibility for experts.

  • AutoML works on tabular, image, and text data
  • Custom training allows fine-tuning and advanced workflows
  • Users can choose based on expertise and project needs

GCP provides options for both beginners and advanced users to leverage AI.

AI in Business​

GCP AI and ML solutions are applied across industries to create value.

  • Retail: Predict customer churn with BigQuery ML and deploy on Vertex AI
  • Healthcare: Label medical images with AutoML for provisional diagnoses
  • Finance: Build personalized recommendation models using custom training on Vertex AI

Businesses can use AI to improve decisions, automate tasks, and deliver personalized services.