Media & Entertainment.
Edge AI powered high quality premium streaming experiences with device-aware, content-aware, and context-ware enhancement, with ~40% reduction in storage costs
Premiumization of viewer quality of experience (QoE)
Up to 40% savings in data costs borne due to streaming
Significant reduction in data consumption for end users
- Reduced energy consumption & lower carbon footprint
Employ the power of neural computation on the shopfloor – get a holistic view of your manufacturing lines, processes, and inspections as quick as a flash
- Digital transformation for higher yield, efficiency, and quality
Higher productivity with automation leading to 20%+ increase in yield
End-to-end automation capability, enabling upto 25% process energy efficiency improvements
Enabling upto 10% savings in operations and maintenance costs
Transformative driving experience for in-vehicle infotainment, low-light video enhancement, ADAS applications and distributed compute
Digital transformation for in-vehicle experiences, safety, and V2X services
- Interactive experiences delivered through infotainment or digital assistant systems
More than 20% enhancement in rear-camera visibility
NCAP Driver Assist tested technology enabling better decision-making while driving
Low-power, low-compute, advanced Edge-native AI inference, ensuring better utilization of resources and streamline financial economy
High performance, low-latency premium digital user experience enhancement on a chip for the mobile user
Ensure consistent & continuous yield improvement workflows based on model training with thousands of hours of content
Custom & self-regulating decision systems in a box at the factory floor, reducing the need for human intervention
On-premise local data processing & data fusion for contextualizing information and aiding decision support
Reduce Carbon Footprint
Deploy Artificial Intelligence on complex unstructured data, in real-time, at the edge.
- Artificial intelligence based solution increasingly improves and optimizes for maximum accuracy.
- Work in real-time on low-cost, low-compute edge devices, with negligible latency.
- Works with very little customization to existing processes.
- Real-time decision making, reporting with a negligible turn around time.
- Microservices based solution can be scaled and configured effortlessly on the move across different types of hardware.
Solution can be immune to any variability in external conditions, while also available offline.
- All data remains on-premises and is highly secure.
- Edge artificial intelligence is future proof.
Other Artificial Intelligence Solutions
- Manual intervention is required and any improvement can be limited by predefined datasets.
- Works from a cloud compute environment with high latency.
- Lot of customized hardware and intervention required to setup cloud based network systems.
- Decision making requires significant human intervention.
Prepackaged solutions which are limited by specific hardware requirements and cannot be scaled nor configured easily.
- Solutions sensitive to external conditions, including network availability.
- Data security can be vulnerable to any network or internet breach.
- Prepackaged solutions need to be replaced after intermittent intervals.
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