Info Services

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LAKEHOUSE & AI

Uniting Your Data, Analytics, and AIDatabricks

Improve your data ecosystem through a unified robust, and agile data platform with our Databricks solutions.

Insights

Latest Databricks Perspectives

Comprehensive Databricks implementation checklist for enterprise teams
Checklist

Comprehensive Databricks implementation checklist for enterprise teams

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Industry

How Detroit manufacturers are transforming operations with cloud data and Databricks

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Strategy

How Databricks powers multi-cloud and global enterprise data strategies

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What Our Clients Say

"Info Services helped us build smart AI agents using Amazon Bedrock. From voice to email, they made it easy to launch fast and grow quickly — we went from pilot to production in under 8 weeks."

Client

"Their team's expertise in Azure and AWS AI services was pivotal for our digital transformation. Scalable, secure, and smart — we reduced data processing costs by 42% in the first quarter."

Client
Client Stories

Real Results, Real Impact

Enhancing real-time business impact through dynamic workflows with LLM agents
Case study

Enhancing real-time business impact through dynamic workflows with LLM agents

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Transforming data engineering with Databricks for a media company
Success story

Transforming data engineering with Databricks for a media company

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Enhanced content decisions through real-time analytics
Industry update

Enhanced content decisions through real-time analytics

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Databricks Silver Partner
Enterprise Expertise

Databricks-Certified Knowledge Backing Our Services

Our team holds multiple certifications spanning data engineering, data science, and ML engineering on the Databricks Lakehouse Platform — ensuring every engagement is backed by verified expertise.

Databricks Certified Data Engineer Associate
Databricks Certified Data Engineer Professional
Databricks Certified Associate Developer for Apache Spark
Databricks Certified Machine Learning Associate
Databricks Certified Machine Learning Professional
Databricks Certified Data Analyst Associate
2.4M+Annual OPEX Saved

Measured delivery impact

85%Manual Effort Reduced

Automated operational workflows

3.5xDelivery Speed

Faster release cycle outcomes

90%Risk Mitigation

Lower incident and rework cost

Databricks-CertifiedKnowledge Backing Our Services

Our team holds multiple certifications spanning data engineering, data science, and ML engineering on the Databricks Lakehouse Platform — ensuring every engagement is backed by verified expertise.

Real Results, Real Impact

See how we've helped enterprises unlock the full potential of the Databricks Lakehouse Platform.

Enhancing real-time business impact through dynamic workflows with LLM agents

Transforming data engineering with Databricks for a media company

Enhanced content decisions through real-time analytics

Our Approach

Comprehensive Databricks Services

01Generative AI

Generative AI

Leverage Databricks generative capabilities through custom Mosaic AI model fine-tuning. We implement autonomous agentic solutions that transform your data into actionable insights, new product ideas, and enhanced customer experiences.

Outcome Snapshot

Business impact delivered through measurable engineering outcomes and repeatable delivery accelerators.

20%Faster Delivery
2xProductivity Gain
8+Key Outcomes
View Related Case Studies
02Machine Learning & MLOps

Machine Learning & MLOps

Streamline the full ML lifecycle—from experimentation to production. We deploy robust MLOps pipelines using MLflow to ensure your models are scalable, reproducible, and impactful.

Outcome Snapshot

Business impact delivered through measurable engineering outcomes and repeatable delivery accelerators.

30%Faster Delivery
4xProductivity Gain
12+Key Outcomes
View Related Case Studies
03Databricks implementation & optimization

Databricks Implementation & Optimization

End-to-end setup and fine-tuning of your Databricks environment. We optimize clusters and storage configurations to ensure peak performance at the lowest possible cost.

Outcome Snapshot

Business impact delivered through measurable engineering outcomes and repeatable delivery accelerators.

40%Faster Delivery
6xProductivity Gain
16+Key Outcomes
View Related Case Studies
04Unity Catalog migration

Unity Catalog Migration

Modernize your data governance with Unity Catalog. We help you migrate seamlessly while establishing unified access control and data lineage across your enterprise.

Outcome Snapshot

Business impact delivered through measurable engineering outcomes and repeatable delivery accelerators.

50%Faster Delivery
8xProductivity Gain
20+Key Outcomes
View Related Case Studies
05Data engineering on Databricks

Data Engineering on Databricks

Build high-performance data pipelines using Delta Live Tables. We ensure your data is always pristine, timely, and ready for advanced analytics and AI.

Outcome Snapshot

Business impact delivered through measurable engineering outcomes and repeatable delivery accelerators.

60%Faster Delivery
10xProductivity Gain
24+Key Outcomes
View Related Case Studies

What Our Clients Say

Smarter streaming starts here

Info Services helped us build smart AI agents using Amazon Bedrock. From voice to email, they made it easy to launch fast and grow quickly — we went from pilot to production in under 8 weeks.

Frank Windelski

CTO, Global Media

Cloud AI mastery at scale

Their team's expertise in Azure and AWS AI services was pivotal for our digital transformation. Scalable, secure, and smart — we reduced data processing costs by 42% in the first quarter.

Sarah Jenkins

VP Innovation, Automotive

Frequently Asked Questions

What is the Databricks Lakehouse Platform and why should I consider it?

What ROI can I expect from a Databricks implementation?

How does Databricks compare to traditional data warehousing solutions?

How long does a typical Databricks implementation take?

Knowledge Hub

Latest Databricks Perspectives

Comprehensive Databricks implementation checklist for enterprise teams
Insights

Comprehensive Databricks implementation checklist for enterprise teams

Read Article
Insights

How Detroit manufacturers are transforming operations with cloud data and Databricks

Read Article
Insights

How Databricks powers multi-cloud and global enterprise data strategies

Read Article

Need clarity?

Frequently Asked Questions

The Lakehouse Platform unifies the best of data lakes and data warehouses on a single platform. It handles all your data, analytics, and AI workloads together — dramatically reducing architectural complexity, lowering total cost of ownership, and accelerating time to insight.

Our clients typically see 30–50% reduction in infrastructure costs, 3× faster model deployment cycles, and measurable improvements in data pipeline reliability within the first 90 days. We establish baseline metrics on day one so ROI is always trackable.

Unlike traditional warehouses, Databricks natively handles unstructured data, streaming workloads, and advanced AI on the same platform — eliminating costly ETL pipelines between separate systems and enabling real-time analytics at scale.

A foundational Databricks setup (environment, basic pipelines, security) typically takes 4–8 weeks. Full enterprise rollouts with advanced ML/AI capabilities range from 3–6 months. We use phased delivery so you see value early and often.
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