Problem solving in the age of AI
The field of Machine Learning and Artificial Intelligence is evolving into a big multi-functioning model that has expertise to do plenty of things and solve many complex problems.
With a decade of experience in Labeling and Annotation, creating sophisticated training data sets for Machine Learning / AI Algorithms, and enabling machines to learn, GlobalLogic partners with global technology companies to design and build the AI-enabled world. GlobalLogic provides advisory, ideation and implementation services in Labeling and Annotation to companies across verticals, globally.
Machine Learning Methods
We partner and help our clients understand and interpret images, video, sounds, voice, text and all forms of unstructured data to get actionable insights.
Supervised Learning
Historical data predicts likely future events, via methods such as classification, regression, prediction and gradient boosting.
Semi Supervised Learning
The cost associated with labeling is too high to allow for a fully labeled training process.
Unsupervised Learning
The goal is to explore the data and find some structure within. Unsupervised learning works well on transactional data.
Reinforcement Learning
Used for robotics, gaming and navigation. The algorithm discovers through trial and error which actions yield the greatest rewards.
Who can adapt to Machine Learning?
Most industries working with large amounts of data have recognized the value of Machine Learning technology and are able to work more efficiently.
Automotive
Education
Energy
Financial Services
Gaming
Governments
Healthcare
Retail
About GlobalLogic
Rooted in Silicon Valley, GlobalLogic operates design studios and engineering centers in 14 countries across 4 continents, extending our deep expertise in strategy & design, DevOps, big data & analytics, AI/ML, etc. We partner with global technology companies to design and build next-gen geospatial solutions that serve their business needs.
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