Welcome.AI - Data Resources & Management

Case Studies

AWS - Machine Learning: Formula 1 - Aws Fuels Analytics Through Machine Learning

Formula 1 Accelerates Cloud Transformation by Moving to AWS

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Teradata: Smart City Innovation For Multi-Modal Transportation Authority

Leveraging data for optimizing a people-centric transportation system

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Cloudera: Fireeye | Cybersecurity

With a modern analytics platform from Cloudera, FireEye improved productivity and visibility into available data, both key in its ability...

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Companies

Figure Eight

Data Resources & Management
9 Case Studies

Transforming raw unlabeled text, audio, video, and images into high-quality labeled training data for machine learning.

Pure Storage

Hardware & IoT
3 Products |
3 Case Studies

Drive Intelligence from your Data

AWS - Machine Learning

Machine Learning
1 Product |
3 Case Studies

Putting machine learning in the hands of every developer

DataRobot

Machine Learning
5 Products |
3 Case Studies

DataRobot provides a predictive analytics platform to rapidly build and deploy predictive models the cloud or an enterprise.

Sisense

Business Intelligence
1 Product |
3 Case Studies

Business Intelligence software by Sisense, the industry leader in BI for complex data - easily prepare, analyze and explore growing data from multiple sources.

Audioburst

Speech Processing
0 Case Studies

Connecting listeners to the world's audio content

InData Labs is a 50+ people strong data science firm and AI-powered solutions provider with its own R&D center that helps companies across the world to find perfect solutions to their big data challenges. Since 2014, our solutions and consulting services enable our clients to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. Our expertise is proven by 40+ successfully implemented projects all over the world and satisfied clients in the United States, UK and EU. We guarantee the high quality of our work as we use proprietary technologies, stick to exceptional customer care, and continually invest in talent development and own R&D center.