Data Solutions Company | Real-Time Data Analytics2022-08-09T09:03:12+00:00
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Sigmoid Data Science Hackathon
For 3rd & 4th year engineering students
Last date to register - 5th September 2022
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How ML model explainability accelerates the AI adoption journey for financial services
Blog
This blog covers how explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.
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Best Practices for Snowflake Implementation
Whitepaper
This guidebook covers best data engineering practices for Snowflake implementation, different steps in the journey, cost optimization for resources and more.
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Our Offering

Our Offerings

Sigmoid’s next-gen data engineering and AI/ML solutions have delivered real-world business impact, accounting to hundreds of millions of dollars for Fortune 500 companies.

Data Engineering

Sigmoid’s mature data engineering processes empower the world’s largest data producers to generate faster business value, modernize data fabric, and operationalize AI platforms.

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Data Science

Sigmoid is a trusted data and analytics partner to global enterprises, transforming businesses at a faster time to market across the customer, marketing, and supply chain value chains.

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Awards and Recognition

Great place to work Awards and Recognition
America's fastest growing private company Awards and Recognition
FT Awards and Recognition
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Open source data Awards and Recognition

Thought Leadership

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Podcast: Data Modernization for CPGs with Sigmoid and Mondelēz | The CPG Guys

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Sigmoid helps build data and analytics competency for digital transformation success

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Towards Better Data Engineering: Mostly People, But Also Process and Technology

Solving Diverse Use Cases across Industries

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CPG

  • Data Lake Creation
  • Marketing Measurement
  • Campaign Optimization
  • Productionize and Scale ML Models
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Insurance

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Banking And Financial Services

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QSR

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AdTech

Our Technology Partners

We are proud partners to leading cloud service providers to solve some of the most complex AI/ML problems.

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