CASE STUDY

Ecolab Accelerates AI Deployment from 12 Months to 30-90 Days with Iguazio & Microsoft

Data Science for Smart Mobility

Smart mobility is all about creating a cleaner, safer, and more efficient way of getting around. As urban transportation becomes more of a challenge, and air travel becomes more and more frequent, it is imperative to leverage AI to create new ways to revolutionize transportation and cater to growing customer demands.

Move Smarter with AI

The Iguazio Data Science Platform for Smart Mobility enables you to develop, deploy and manage AI applications, transforming AI projects into real-world business outcomes. With Iguazio, you can build and run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life your most ambitious data-driven strategies for smarter ways to travel.

Ride Hailing

Ride-Hailing

Optimize on-demand transportation and enhance driver and passenger experience.

Fleet Management

Fleet Management

Maximize efficiency to ensure supplies arrive on time and unharmed with location-based heat-maps and real-time data regarding fuel consumption, weather, road conditions and more.

Network Optimization

Transportation Logistics

Manage and optimize logistics at scale, including meals, rosters, machines and more

SIEM

Fraud Prevention

Detect patterns of suspicious behavior and prevent fraudulent transactions before they occur.

Data Science For Financial Services
Data Science For Financial Services

PickMe Case Study: Transforming Business Models with Ride-Hail Optimization

PickMe is the leading on-demand transportation service in Sri Lanka, with over 2.5 billion downloads and $1bn in revenue. In order to meet rising demand, PickMe uses the Iguazio Data Science Platform to optimize ride-hailing with real-time heatmaps and prevents fraud by detecting suspicious behavioral patterns in real-time.

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Documentation

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