Artificial intelligence (AI) and deep learning technologies are powering the next wave of innovation. Global enterprises are increasingly integrating self-learning AI/ML models into their ecosystems to vastly improve operational efficiency, augment human capability, and positively impact the lives of customers. But for any machine-learning (ML) model to succeed, vast volumes of meaningful data are required to ‘train’ the model through a repetitive and time-consuming annotation and labelling process.
At Infosys BPM, we help client data science teams build high-quality ‘training data’ for AI at scale, using a platform plus human-in-the-loop service model, which saves time and resources for the teams and focuses on strategic priorities like refining and improving the AI model itself. Our proven service model leverages the power of human intelligence (humanware) and automation capability (software) to continuously churn out high-quality training datasets at scale for AI training and evaluation.
We work with several marque brands across the globe in their Al/ML journey and support use cases for several key clients, such as:
CPG
Retail
Media
Rail Transport
Oil & Gas
Insurance
Healthcare
Financial Services
We are experienced in handling image annotations, work packages, and audio files for clients across the globe, which include:
Our agile operating model enables us to seamlessly work across different annotation platforms in a platform-agnostic way, whether leveraging client-developed in-house tools, open source platforms, or third-party platforms. Here is an overview of the annotation process that is typically followed for creating training data.
Our tie-ups with industry-leading training data platforms allow us to combine human capability with state-of-the-art intelligent automation to increase speed to market and deliver >98% accurate training data output.
Text
Tag and classify for NLP and search optimisation use cases
Entity Tagging | Linking |
Classification | Sentiment Tagging
Image
Classify and segment images for computer vision use cases
Bounding Box | Segmentation |
Polygons | Classification
Audio
Transcribe, annotate, and grade speech and audio use cases
Transcription | Grading |
Classification | Sentiment Tagging
Video
Annotate key frames and moving objects in a video format
Bounding Box | Segmentation |
Polygons | Key Points
Sensor data
Annotate data from sensors
and loT devices
Lidar Time Series Tagging |
Pattern Tagging | 3d Point Cloud
Improve efficiency with AI/ML models
Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better