Use analytics and machine learning to unlock new growth and product opportunities
According to the World Economic Forum report, 463 exabytes (1,048,576 terabytes) of data will be created each day globally by 2025. Data and AI/ML have sparked a new revolution that disrupts every business in every industry.
The massive volume of data combined with cutting-edge and open source technologies in data analytics, parallel computing, and machine learning present companies with unique opportunities to reimagine their business models, deliver personalized experiences, automate processes, and reduce costs.
Our data engineers and scientists have helped global brands discover, build and monetize data-driven business opportunities. We help our clients build analytics products, platforms, and solutions that deliver actionable intelligence at a massive scale from data preparation, transformation, integration to data science and interactive visualizations.
The easiest way to sum up my relationship with the Rapidops team is that they make me and my team look good. They can become an extension of our internal team and translate our concepts and ideas into high-functioning software.
Chase CabanillasCIO, Flexprint
Explore Our Data Analytics Services
Data Engineering
Build tailor-made data integration, analytics, and consumption platforms and solutions.
Omnichannel Platforms
Create channel-agnostic custom experiences based on your user’s needs, journeys, and behaviors in real-time.
Data Visualization Platforms
Design and develop intuitive, scalable, and extendable data visualization platforms for graph, geo, and visual data exploration.
Personalization Engines
Grow your revenue and brand loyalty with personalized products and shopping experiences unique to each customer.
IoT & Machine Analytics
Build real-time and scalable automation and data-driven products with IoT devices and events data.
Image, Text & Voice Analytics
Uncover the hidden insights from unstructured semi-structured data using computer vision and deep learning.
Platforms
Our AI/ML and Analytics technology stack
Digital Thinking
Our experts’ opinions and perspective on technology-lead digital transformation.
Analytics4 months ago
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