Overview
OneData Software designs and implements smart industry solutions using AWS IoT, Amazon SageMaker, and related smart services to help organizations in sectors like manufacturing, healthcare, energy, logistics, agriculture, and retail transform operations with connected intelligence. These solutions span the full stack from sensors and devices out in the field, through data ingestion, edge or cloud processing, up to analytics, ML-driven predictions, and automated operational workflows.
Core Capabilities
1. Device & Edge Connectivity (IoT Infrastructure) o Connect devices via AWS IoT Core using secure protocols; deploy edge logic with AWS IoT Greengrass where lower latency or intermittent connectivity is needed. o Manage device fleet, secure identities, certificate management, ensure compliance and reliable operations.
2. Data Collection, Cleaning, & Storage o Collect telemetry and event data from devices, on-site systems, and operational databases. o Store data in appropriate stores (structured, unstructured, time-series, etc.), cleansed and transformed, so that it’s reliable for further use.
3. Machine Learning & Predictive Modeling (SageMaker) o Build, train and deploy custom ML models using SageMaker for forecasting, anomaly detection, predictive maintenance, demand planning etc. o In industry contexts, models are tailored for specific failure modes, usage patterns, or domain metrics.
4. Smart Smart Services & Analytics o Use AWS IoT Analytics, Kinesis, etc., to analyze streaming/real-time data. o Visualize results via dashboards or embed into workflow tools.
5. Security, Governance & Managed Services o Ensure industry solutions comply with security, regulatory, and reliability standards. o Provide managed services: monitoring, cost-optimization, threat detection, ensuring systems stay robust in production.
6. Customization per Industry o Manufacturing: predictive maintenance, quality control, equipment monitoring. o Healthcare: remote monitoring, patient device telemetry, compliance, rapid alerting. o Energy: demand forecasting, grid / consumption optimization. o Logistics / Retail / Agriculture: supply chain visibility, environmental monitoring, inventory tracking.
7. Operational Automation & Feedback o Automate responses or workflows based on models or rules (e.g. alerts, scheduling maintenance). o Feedback loops to retrain models, adjust thresholds, refine device performance.
Benefits • Reduced unplanned downtime and maintenance costs. • Improved process efficiency and asset utilization. • Better operational visibility and decision support. • Faster innovation and adaptation to changing conditions. • Enhanced security, reliability, and cost control.
Highlights
- • Industry Solutions • AWS IoT • Amazon SageMaker • Predictive Maintenance • Real-Time Analytics • Edge Processing (IoT Greengrass) • Device Fleet Management • Machine Learning & Forecasting
- • Smart Services • Sector Customization (Manufacturing / Healthcare / Energy / Logistics) • Operational Efficiency • Data Collection & Integration • Security & Compliance • Managed Services
- • Automation & Alerts • Anomaly Detection • Process Optimization • Cost Optimization • Visualization & Insights • Scalability & Reliability
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