Use Case Library
Use CaseStrategy

Accelerate data integration from multiple sources

Combine source data from different sources into meaningful and valuable information

Data
Data - Data enhancement
£
Cost
Cost - Job automation
Description

Accelerate data integration from multiple sources

Linked Case Studies
Case Study
Berkeley Lab
Berkeley Lab to use deep learning to analyse alternate data sources for more accurate predictions of air quality
Case Study
Coyote
Coyote improves the accurate reporting of speed limits by 9% using machine learning
Case Study
Salesforce
Salesforce to enable its users to save time on data entry through a voice-to-text assistant
Case Study
Hitachi
Hitachi conducted an on-site demonstration of a warehouse management system equipped with its AI technology where results showed efficiency improvement in logistics tasks
Case Study
HP.Inc
HP.Inc integrates data from various isolated data sources using machine learning
Case Study
Kik
Kik, a popular messaging platform, uses machine learning to integrate and scale different systems
Case Study
Shell
Shell plans to automate information extraction from internal documents to collate answers to operational problems using Maana''s Knowledge Platform
Case Study
BMW
BMW will self-diagnose faults and issues limiting car performance and collect data from connected vehicles with machine learning analytics
Case Study
BlaBlaCar
BlaBlaCar optimises conversion rate and improves retention with machine learning predictive analytics that integrate data from multitudes of sources
Case Study
Hovis
Hovis, a famous bakery in the UK, automates administrative IT processes using machine learning
Case Study
LeasePlan UK
LeasePlan, a vehicle management group in the UK, simulates different models to see cost distribution across various dimensions to decide which changes are optimal
Case Study
AstraZeneca
AstraZeneca improves internal management of its global data sources through organisation, search and information extraction using an AI platform
Case Study
TigoUne
TigoUne reduces management system failure by 80% through a machine learning workforce management solution
Case Study
MIT
MIT researchers propose an efficient and accurate system for protecting privacy in healthcare datasets
Back to Use Case Library
Source: appliedai.com · Editor: original-sdg
AI Daily Brief — leaders actually read it.

Free email — not hiring or booking. Optional BPAI updates for company news. Unsubscribe anytime.

Include

No spam. Unsubscribe anytime. Privacy policy.