Your data is your most valuable asset. With our extensive experience, and technical expertise with emerging technologies, we’ll build you a well-defined and integrated approach to identifying, managing, and using your internal and external structured and unstructured data.

Enterprises understand that data is one of the most valuable assets they have. It’s the key driver for the implementation of AI solutions that provide predictable outcomes. To get that implementation right, you need the right quality and quantity of data—in the hands of our experts—to train your AI models, including:

• Identifying the right toolset for ingesting and processing your data
• Automating and implementing data pipelines for your models
• Identifying the need for synthetic data and create solutions for generating data

We understand the importance of data diversity, security, and privacy to ensure enterprise production-grade quality for your AI deployments. And while a challenge for others, we ensure proper bias identification and fairness in the data used for your solutions.

With Turing’s AI Data Engineering services, we’ll help you realize and identify the highest value opportunities from implementing AI solutions into your business.

Our data engineering tools include:

• Data warehouse: BigQuery, PostgreSQL, Azure Synapse Analytics, Amazon Redshift
• Data quality: Great Expectations, Google Dataplex, AWS Glue
• Data analytics: Mode, Google Data Studio/Looker, Amazon Kinesis
• Data pipelines: Vertex AI pipelines, Cloud Dataflow, AWS Data pipelines
• Data pipelines schedulers: Airflow, Cloud Scheduler, Amazon Codepipeline