Grid Dynamics & Google Cloud Platform
News & Insights
Grid Dynamics is a Google Cloud Premier Partner
Areas of specializations
Grid Dynamics Named Implementation Partner for Google Cloud Retail Search
Retailers now have the ability to provide Google-quality search and recommendations on their own digital properties, helping to increase conversions and reduce search abandonment.
Grid Dynamics has a unique experience working with Cloud Retail Search from the dawn of its development, with a number of successful integrations under our belt. Our battle-proven blueprints and accelerators help to achieve the smoothest and fastest upgrade of search experience across all channels.
We provide all necessary analysis, customizations, performance and relevance tuning to help retailers to connect customers with products they love.
Grid Dynamics Named Integration Partner for Google Looker - Cutting Edge ML Driven BI Platform
Looker is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time.
Looker gives you the tools to power a multitude of data experiences, from modern business intelligence and embedded analytics to workflow integrations and custom data apps. Regardless of where your data resides, Looker offers a unified surface to access the truest, most up-to-date version of your company’s data. And with data integrated into users’ daily workflows, organizations can extract value from their data at web scales.
We tailor the Looker Platform for enterprise level needs to ensure security, scalability, and a powerful data experience.
We enable teams to work with up to date, ML driven data that they can be confident in.
Grid Dynamics and Google Cloud teamed up to create an AI-based Pricing Optimization Starter Kit to take the guesswork out of pricing and promotion decisions.
Our Pricing Optimization Starter Kit is designed from the ground up for Google Cloud to efficiently leverage data processing, model development, and model management services provided by Google. The Vertex AI starter kit is completely open source, so it does not include any proprietary or licensable components.
We leverage AutoML capabilities provided by Google Cloud Vertex AI to automate model selection and parameter tuning.
Specialization in data analytics involves multiple successful implementations of Big Data platforms using Google Cloud Platform that involves data ingestion, preparation, storage and analysis, in batch and real-time.
Google Cloud Platform products that are included in this specialization are BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab and Cloud Pub/Sub.
A machine learning specialization is based on demonstrable success with data exploration, preprocessing, model training, model evaluation, model deployment, online prediction and Google’s pre-trained machine learning APIs.
Google Cloud Platform products that are included in this specialization are TensorFlow, Cloud Machine Learning Engine, Cloud Jobs API, Cloud Natural Language API, Cloud Speech API, Cloud Translation API, Cloud Video Intelligence API, Cloud Vision API, AutoML, BigQuery, Dataflow, and Dataproc.
A specialization in cloud migration comes from a history of repeatably building successful foundational architectures and migrating a significant number of customer workloads from either on-premises or other cloud providers to Google Cloud Platform.
Google Cloud Platform products involved in this specialization include Compute Engine, Kubernetes Engine, Cloud SQL, Cloud Datastore, BigQuery, Persistent Disk, Cloud Storage, Cloud Spanner.
Google Cloud Partnership specializations
Core Google Cloud offerings
We can make the data work for you
- Optimize platform performance
- Cloud migration without service disruption
- Gather and process data with quality automation and AI/ML
We automate your journey to microservice
- Architect interface between infrastructure and application
- Deploy microservice platform from open source accelerator
- Support the platform in all environments and train your team
We help your data science team to:
- deploy your open source or cloud ML platform
- prepare data for scientists
- optimize and productize scientists' models
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