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Cognida acquires Automate to expand enterprise AI automation across finance and operations.

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Databricks

Scalable intelligence on Databricks

Expert guidance and execution for your Lakehouse, AI, and data governance initiatives.

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Practice Area 01

Lakehouse architecture

Build unified, reliable data foundations.

Practice Area 02

AI and machine learning

Accelerate models from research to production.

Practice Area 03

Data security and governance

Ensure security and compliance with Unity Catalog.

Why Databricks with Cognida

Delivering measurable outcomes for enterprises

Cognida helps enterprises unlock the full potential of Databricks by delivering Lakehouse architectures, AI enablement, and data governance built for scale and trust.

Platform focus

Data and AI foundations on Databricks

Lakehouse architectures

AI enablement

Data security and governance

Cognida focus

Guidance and execution from initiative to implementation

Architecture and implementation support

Operation and maintenance support

Enterprise delivery designed for scale and trust

Turn Lakehouse data into an AI advantage.

Solution Focus

Focused Databricks initiatives from modernization to production AI

Legacy migration to Databricks

Modernize data platforms and move legacy workloads onto Databricks.

ML ops and model serving

Support machine learning workflows as models move from development into production.

Real-time predictive analytics

Apply governed data and AI workflows to time-sensitive enterprise decisions.

Industry Focus

Where Databricks initiatives create enterprise value

Manufacturing & supply chain

Data and AI foundations for manufacturing, operations, supply chain and logistics workflows

Healthcare and life sciences

Scalable data and AI initiatives for healthcare and life sciences environments

High tech and software

Lakehouse and AI initiatives for software, product and technology organizations.

How we engage

Implementation, operation and maintenance

Cognida supports the Databricks initiative so your team can stay focused on growth.

Stage 1

Plan

Align the initiative around Lakehouse architecture, AI enablement, or data governance

Stage 2

Implement

Execute the selected Databricks solution focus with enterprise requirements in view.

Stage 3

Operate

Support operation and maintenance as the initiative moves into ongoing use.

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Ready to get value from your Databricks initiative?

Let us handle the implementation, operation, and maintenance so you can focus on growth. With Databricks and Cognida, turn your Lakehouse data into an AI advantage.

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