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Data quality: Editorially Reviewed
Google Cloud
Language (LLM / NLP)
Financial services
Process automation
Databricks
Government
Data engineering & preparation
AI strategy & roadmap consulting
Energy & utilities
Staff augmentation
Implementation & integration
Text content generation
Predictive / classical ML
Business intelligence
Healthcare & life sciences
Technology & telecommunications
ML lifecycle & data
Change management & adoption
Manufacturing
Snowflake
Amazon Web Services
Salesforce
Services & Consulting
AI strategy & leadership
Azure
Retail & e-commerce
Agentic / autonomous
Enterprise

Slalom

Implementation & integration

Offered by Slalom, Inc.

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Overview

Slalom's artificial intelligence practice spans machine learning, generative AI and intelligent products, with AI Transformation and AI Accelerate Teams offerings. These sit alongside strategy, data, cloud and digital product services that support AI initiatives. The firm describes end-to-end work from strategy through implementation, aimed at leaving client teams able to continue on their own. It names Google Cloud, Microsoft, AWS, Databricks, Salesforce, Snowflake and Adobe among 700+ technology partners. Industries include financial services, healthcare and life sciences, manufacturing, retail, technology, media, energy and the public sector. Its terms of use give a Seattle address as principal place of business.

Pricing model
On request
Regions served
North America, Europe, Global
Categories
Google Cloud, Language (LLM / NLP), Financial services, Process automation, Databricks, Government, Data engineering & preparation, AI strategy & roadmap consulting, Energy & utilities, Staff augmentation, Implementation & integration, Text content generation, Predictive / classical ML, Business intelligence, Healthcare & life sciences, Technology & telecommunications, ML lifecycle & data, Change management & adoption, Manufacturing, Snowflake, Amazon Web Services, Salesforce, Services & Consulting, AI strategy & leadership, Azure, Retail & e-commerce, Agentic / autonomous, Enterprise
Last updated
7 October 2026
Published
7 October 2026

Use cases

ML lifecycle & data
Text content generation
Process automation
Business intelligence

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
slalom.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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