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Outcomes
Data-Driven Enterprises
OCR-based scanning, speech recognition, for automatic classification and creation of wide range of incoming records in enterprise systems (ERP/CRM) or automation of perceptual, judgment-based common tasks for productivity. Our approach relies on an AI-based system to recognize non-standard formats or unstructured data and validate based on rules to optimize human interventions.
Enabling connected experiences with IoT- led tracking and augmented intelligence across enterprise touchpoints. Our approach includes optimization of smart ecosystems, productivity apps harnessing the power of AI and advanced analytics, integrations with enterprise applications and secure data storage on cloud and on-premise products.
Product-led enablement for data scientists, data engineers, business and IT teams to effectively collaborate in design, deployment, monitoring and governance of analytic models. Our proposition empowers data science Leaders to have visibility of the entire ML lifecycle and drive agility in delivering models, while ensuring compliance with regulatory standards.
Automating detections and pattern recognitions from images and live/ recorded video footages to discern behaviour or attributes on real-time basis. Our approach involves use of smart algorithms to identify objects or events with accuracy, store and analyse them for improved insights and decisions-on-the-go.
We make it possible for clients to seamlessly navigate their data maturity journey - from standardizing their BI Product, augmenting capabilities on the cloud to accelerating model outcomes for businesses across verticals, functions and technologies.
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