Data Engineering, Data Science, AI & ML Services

You’ve got data, but what do you do with it?
We’ll help you use data to elevate customer experiences, boost worker productivity, detect previously unseen patterns, and provide foresight with previously unimaginable accuracy.

Over the past few years, the pace of change in the data science space has been exponential. Vast amounts of data are being generated and state-of-the-art data storage and computation technologies are constantly changing. It’s imperative for companies to be able to leverage this data and know exactly what to do next.

Nexient helps businesses navigate the technology landscape, architect sustainable, cost-efficient solutions and implement those designs at scale. We have professionals ready to manage your data’s ingestion, storage, and serving and unlock your data’s potential through analytics, insights, machine learning, and AI.

Problem Solving Just Got Easier

Nexient’s Data & AI/ML practice is comprised of a group of talented practitioners focused on delivering data and predictive solutions to our clients. Most projects fall in the following categories:

  • Product Team: A cross-discipline team building custom software. Data team members may be working on a backend service or micro-service integrated into a larger software build. Often serving and storing data or building an integrated predictive (AI/ML) service.
  • Advisory & Proof of Value: A small team dedicated to determining technology strategy, frameworks, or building a business case for future technology implementations. May include small scale proof of concept or proof of value technology and modeling builds.
  • Implementation, Migration, and Modernization: A data-centric team building or migrating data pipelines, predictive systems, or BI and analytics technologies.

We’ve Got the Experts With the Skills You Need:

Data Science and MLOps
  • Deep learning an AI
    • Natural Language Processing (NLP)
    • Compute Vision
    • Keras / Tensorflow / PyTorch
  • Classical Machine Learning Models
    • Scikit-Learn
    • XGBoost
    • Forecasting
    • Statsmodels
    • R
  • Statistical Data Science
  • MLOps
Data Movement and Storage
  • Spark / Databricks / Hadoop
  • Kafka
  • Relational databases
  • Petabyte scale data warehouses
  • Data Lakes
Business Intelligence
  • Power BI
  • Tableau
  • Qlik
  • Domo
  • Amazon Web Services
  • Azure
  • Google Cloud Platform

How can we help?

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