World-class platform engineering and generative AI services.
Delivering data platforms, data pipelines, and generative AI applications.
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Case Study:
Learn how Quantatec integrated generative AI into their Movias logistics platform.
Quantatec wanted a large language model (LLM) to answer customer’s questions about their own fleet data and Patterson Consulting helped us to integrate the LLM properly and provide consistent quality answers to the user.
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Recent case studies
Data Engineering with the University of Michigan
Patterson Consulting worked with a team of researchers to build out the needed data pipelines to extract modeled data from a mix of different raw data sources.
Read case studyData Platform Migration with Large Midwest Insurance Company
Patterson Consulting worked with the platform engineering team of a large midwest insurance company to help migrate data pipelines from AWS to GCP. New data pipelines were built out on Google BigQuery and orchestration was implemented with Airflow.
Read case studyManaged MLOps Infrastructure for Large Financial Services Company
Patterson Consulting worked with a large east coast financial services company to help them integrate Kubeflow with Kerberos, Active Directory, and NVIDIA DGX GPUs for an on-premise Jupyter Notebook-based data science environment with fixed cost profile.
Read case studyOur Services
End-to-End Services for Developing Next Generation Data Platforms
Build better data platforms
Patterson Consulting can help you review existing data platform architectures or design new ones from the ground up. We use a mix of traditional business analysis coupled with deep platform engineering expertise to best match platform architecture to what data platform configuration will best drive line of business key indicators.
If you are already in the cloud and need to migrate your data platform to another cloud, Patterson Consulting simplifies and expedites data platform migrations in the Cloud. Whether your cloud provider is Azure, AWS, or GCP, Patterson Consulting will efficiently move your data from one platform to another with minimal disruptions.
Learn moreDeploy new data pipelines with a team of experts
Leveraging the latest technologies and best practices, we design robust and scalable pipelines tailored to meet the unique needs of each client. Our expert team meticulously architects the entire process, from data ingestion to transformation and storage, ensuring seamless integration with cloud-native services for maximum efficiency and performance. Trust us to transform your data challenges into opportunities for innovation and growth in the cloud.
From data products, to analytics, to semantic layers, to building dashboards, the Patterson Consulting team will design and deploy efficient data pipelines that improve how your business operates.
Our data pipeline design process focuses on data integration integrity and lowering the latency it takes from "data intake to data answer" in the line of business.
Learn moreAccelerate your line of business with generative AI
We focus on 3 core areas of application in generative AI:
- Conversational User Interfaces
- Process Automation
- Decision Support
Focusing on these 3 areas allow our customers to frame generative AI use cases and drive towards return on investment for the line of business.
Our rigorous development process ensures that each application is rigorously tested and fine-tuned for optimal performance, reliability, and scalability.
Learn moreOur latest blog resources
Articles on data engineering and generative AI from the Patterson Consulting team
IoT Data with Snowflake
In this article we take a look at how to ingest IoT data into Snowflake tables and then how to connect Google Colab Jupyter Notebooks to Snowflake.
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The Evolution of RAG
In this article we take a look at “what is retrieval augmented generation?” and “how is retrieval augmented generation’s definition evolving?”.
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Data Modeling Healthcare Data with DBT
In this post we’ll build our first DBT pipeline to summarize patient history data for downstream data engineers.
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Loading the Credit Card Transaction Data Into Snowflake
In this blog post series we will demonstrate how to build a credit card fraud detection system on realistic data.
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Building a GenAI UX for Embedded Analytics
This article explores using natural language, LLMs, and LangChain as a front end interface for an analytics or report generation application.
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Take the next step with Patterson Consulting
Reach out to start a discussion with our team about your data engineering and generative AI needs.
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