Databricks AI

Overview

Databricks AI combines Databricks’ data engineering capabilities with AI and machine learning to build scalable, production-ready models.

What we do

We design, train, and deploy AI models that integrate directly with client data pipelines. Databricks AI allows us to implement predictive analytics, natural language processing, and other machine learning workflows efficiently.

Use Cases at High Digital

Predictive Analytics

Forecasting trends from large datasets.

NLP Applications

Extracting insights from text data.

AI Model Deployment

Integrating ML models into production environments.

Why We Use Databricks AI

It combines the scalability of Databricks with machine learning frameworks like TensorFlow and PyTorch, allowing us to build, test, and deploy models at enterprise scale.

Technologies we use

Frontend

React.js

Next.js

Tailwind CSS

Angular.js

Backend

Python

Fast API

.Net

Node.js

Databases

MS SQL

PostgreSQL

MongoDB

Databricks

Cloud & DevOps

Microsoft Azure

AWS

Google Cloud

GitHub Actions

Key Technologies

Apache Spark

Delta Lake

MLflow

TensorFlow / PyTorch

Databricks ML Runtime

Why Choose High Digital?

Proven track record delivering high-impact digital products

Deep technical expertise across modern stacks

Focus on data, scalability, and user experience

Collaborative and client-first mindset

Ready to build the application that moves your business forward?

Let’s Talk

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