DISRUPTIVE AI TECHNOLOGIES
AI ROADMAP
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Identifying initiatives of true value. Filtering Hype.
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Bringing focus to Industry specific Disruptive Use-Cases.
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Managing the iterative nature of AI Initiatives.
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Defining Data Strategy which is very important for AI initiatives success.
MANUFACTURING FOCUS
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Machinery Preventive Maintenance. Optimizing Frequency and Operations.
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Quality / Visual Inspection.
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Increasing Production efficiency, removing bottlenecks. Optimization.
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Improved Sales Forecast, Lead Qualification.
MACHINE LEARNING
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Good understanding & delivery capability in various Machine learning aspects.
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Supervised, Unsupervised & Reinforcement Models.
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Classifications, Training Models, SVM, Decision Trees, Ensemble Learning.
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Deep Learning & Artificial Neural Network Algorithms.
CLOUD & EDGE AI
CLOUD
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Handling movement of data to cloud and Maintenance.
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Managing Cost, Performance, Work Load and Data Access.
EDGE
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Real-time Sensor Data Analytics & IOT.
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Handling Scalability, Power Consumption & Latency.