Edge computing paves the way for the future by harnessing crucial data to foster innovation and create new opportunities.
At NewSoft Sage, our Edge Computing services redefine the boundaries of data processing, bringing computation and data storage closer to the sources of data. This approach minimises latency, enhances operational efficiency, and reduces bandwidth use, enabling real-time data processing and decision-making at the edge of your network. Our solutions are designed to empower businesses to act on data-driven insights instantly, ensuring a seamless integration of technology that drives performance, security, and scalability. Dive into the world of Edge Computing with NewSoft Sage and unlock the full potential of your digital operations.
Proof of Concept for short term capability validation (4 weeks) Consulting-led engagement, delivered as a short-term proof of concept to help you to test and validate edge infrastructure interoperability and performances within a controlled, simulation environment. We will support you with the end-to-end execution of the POC, from scope definition, design, implement, test and documentation of recommendations to support you on pre-site and pre-production edge deployment.
Edge Computing POC for maximum efficiency
Get ahead of the competition with our advanced Edge computing solutions. Say goodbye to latency issues and hello to faster data processing. Contact us today to test our Edge Computing POC.
Assessment & Planning
Current Infrastructure Evaluation: Conduct an assessment of the existing IT infrastructure to identify potential opportunities for implementing edge computing solutions.
Use Case Identification: Identify specific use cases where edge computing can bring value, such as real-time analytics, low-latency processing, or data aggregation at the network edge.
Technical Requirements Analysis: Analyse technical requirements and constraints for implementing edge computing solutions, including hardware, software, and networking considerations.
Prototype Development & Testing
Edge Device Selection: Choose appropriate edge devices based on the identified use cases and technical requirements, considering factors such as processing power, memory, and connectivity.
Prototype Development: Develop prototypes of edge computing solutions tailored to the identified use cases, incorporating relevant software components and algorithms. -
Testing & Validation: Test the prototypes in simulated or controlled environments to validate their functionality, performance, and scalability.
Deployment & Integration
Edge Infrastructure Setup: Set up edge computing infrastructure, including edge devices, gateways, and edge servers, ensuring connectivity and interoperability with existing systems.
Application Deployment: Deploy edge computing applications and services onto the edge infrastructure, configuring them for optimal performance and resource utilisation.
Integration with Existing Systems: Integrate edge computing solutions with existing IT systems and workflows, ensuring seamless data exchange and synchronisation.
Evaluation & Future Planning
Performance Monitoring: Monitor the performance of deployed edge computing solutions in real-world environments, collecting data and metrics for performance evaluation.
Business Impact Assessment: Evaluate the impact of edge computing implementations on key business metrics, such as response time, data throughput, and operational efficiency.
Future Expansion & Optimisation: Develop a roadmap for scaling and optimising edge computing initiatives, identifying new use cases, and exploring advanced edge technologies.
The potential applications of edge have expanded far beyond just manufacturing and IoT. Edge can be incorporated to drive rapid decision-making and improve user experiences by increasing relevance at each touchpoint. Now, edge is helping create new insights and experiences, enabled by the larger cloud backbone.
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Order a free consultation – our experts will select the most effective solution
A Proof of Concept (PoC) is a preliminary demonstration that demonstrates how feasible and viable a proposed solution or technology is. Businesses can make informed decisions before full-scale implementation by validating ideas, assessing risks, and evaluating risks. Our PoC service, which is delivered within four weeks, provides a fast yet thorough evaluation of AI solutions customized to your specific requirements, reducing risks and speeding up innovation.
We offer comprehensive support from our team of AI specialists during the Proof of Concept process. Starting from the initial scoping and data analysis, we will work closely with you to ensure transparency, collaboration, and successful outcomes.
Upon successful completion of the Proof of Concept, we provide comprehensive insights, recommendations, and next steps for further development or implementation. Whether you choose to proceed with a full-scale deployment, refine the concept, or explore alternative solutions, our team remains committed to supporting your journey towards realizing the full potential of AI technologies.
If you're exploring new technologies, validating hypotheses, or seeking to mitigate risks before investing in a full-scale implementation, a Proof of Concept can be a valuable first step. Our team can assess your project requirements, objectives, and constraints to determine the most appropriate approach and provide tailored recommendations for achieving your goals effectively and efficiently.
Our expertise spans a wide range of machine learning applications, including predictive analytics, natural language processing, computer vision, and more. Whether you're seeking to optimize operations, enhance decision-making, or personalize customer experiences, our Proof of Concept can explore various AI-driven solutions tailored to your objectives.
Edge computing enables low-latency processing and real-time decision-making by bringing computation closer to the data source, improving responsiveness and user experience. -
By processing data locally at the network edge, edge computing enhances data privacy and security, reducing the risks associated with transmitting sensitive data over networks. -
Edge computing architectures are highly scalable and flexible, allowing for distributed deployment across diverse environments and use cases, from industrial IoT to smart cities. "
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