Artificial Intelligence & Machine Learning

Automate, optimize and predict with the power of AI

Artificial intelligence (AI) and machine learning (ML) technologies have the potential to provide revolutionary solutions that will have a profound impact across all industries. Many of these solutions will leverage the latest in generative AI and Onix can help bridge the gap by providing consulting services to help bring this new technology to life. Onix offers solutions to take advantage of AI for your organization by leveraging powerful Google Cloud technology in three main ways:

Automation and optimization
Prediction and forecasting
Natural language processing and understanding

Onix
methodology

Onix leverages Google Cloud products coupled with our custom accelerators and consulting expertise to offer a comprehensive suite of AI and ML solutions to help businesses drive innovation, improve efficiencies, and enhance customer experiences.

Our Google Cloud AI platform has a comprehensive suite of AI/ML tools and services, from data preparation and model training to deployment and infrastructure management. Click through to see how we can help you take advantage of these technologies.

The first step in any AI project is to gather, clean, and prepare the data that will be used to train and test the models. Google Cloud provides a range of tools for data preparation, including Cloud Storage for storing and managing large datasets, Cloud Dataflow for data processing, and BigQuery for analyzing and querying large datasets. We can accelerate the data prep phase with our Onix Analytics Modernization solution.

Google Cloud provides a range of machine learning services, including pre-trained models and APIs for image and video analysis, language processing, and speech recognition. AutoML allows users to build custom models without requiring significant expertise in machine learning.

Google AI Platform allows users to train, optimize, and deploy custom machine learning models at scale. Google offers Vertex AI, a fully managed service that enables developers to build, deploy and manage ML models.

There is a wide range of infrastructure options to support AI projects, including GPU and TPU instances for accelerated computing, and Cloud Functions for serverless computing. Additionally, Google provides a range of tools for managing and monitoring infrastructure, including Cloud Logging, Cloud Monitoring, and Cloud Trace.

Google Cloud provides a range of analytics and visualization tools to help users gain insights from their data, including BigQuery for analyzing large datasets, Data Studio for creating custom reports and dashboards, and Looker for business intelligence and analytics.

Security features to help protect AI projects and data include identity and access management, encryption at rest and in transit, and threat detection and response.