AI on the Edge Services
What is Edge AI?
Edge AI, also known as AI at the Edge, refers to deploying AI algorithms and models on edge devices or edge computing platforms rather than relying on cloud-based processing. Edge devices, such as smartphones, Internet of Things (IoT) devices, or specialized hardware, have limited computational resources and are often located close to the data source or user interface. By bringing AI capabilities to these devices, edge AI enables real-time processing, reducing latency and dependence on cloud connectivity.
Importance of Edge AIEdge AI plays a crucial role in various domains and industries. Here are some key reasons why edge AI is gaining importance:
Real-time Decision Making
Data Privacy and Security
AI on the Edge developed by TECHVIFY
TECHVIFY is at the forefront of developing cutting-edge AI at the edge solutions. Leveraging our expertise in artificial intelligence, software development, and information technology management, we offer various services and products according to different needs in industries across the board.
Benefits of Edge AI
Implementing edge AI solutions offers several benefits to businesses and industries. Let’s dive into some key benefits!
- Lower Latency
Edge artificial intelligence brings intelligence closer to the data source, reducing latency in processing and decision-making. This is especially critical in time-sensitive applications, like real-time monitoring or instant response system software.
- Improved Reliability
Ai at the Edge devices can keep working even if they lose contact with the cloud, eliminating the possibility of service interruptions caused by network failures or delays.
- Cost Efficiency
Edge AI reduces the need for constant data transfer to the cloud, resulting in lower bandwidth costs. Additionally, by processing data locally, businesses can avoid the expense of maintaining extensive cloud infrastructure.
- Enhanced Privacy
Edge AI enables data to be processed locally on the device, minimizing the need to transmit sensitive information to the cloud. This offers a huge benefit in the business and finance sectors, ensuring data privacy and mitigating risks associated with data breaches.
By enabling the distribution of computational tasks across multiple devices, machine learning on Edge is able to accommodate the increasing demands of data processing. This approach is especially advantageous for large-scale IoT deployments and edge computing networks.
- Real-time Insights
Processing data at the Edge empowers organizations to gain real-time insights and make informed decisions without being impeded by delays caused by data transmission to the cloud and back.
Why choose TECHVIFY as a reliable AI at the edge partner?
When it comes to AI at the Edge, TECHVIFY stands out as a reliable partner for several prominent corporations in various industries. With 500+ experts on board, we are committed to bringing the best practices and efficient collaborations for Edge to AI, resulting in a 50% cost down and driving your business to success.
- Expertise and Experience
We bring extensive expertise in AI, software development, and information technology management. With years of experience in delivering cutting-edge solutions, our experts possess the knowledge and skills to address complex challenges in the field of AI at the Edge.
- Industry-specific Solutions
TECHVIFY understands the unique requirements of different industries and tailors their solutions accordingly. Our industry-specific approach ensures businesses receive Edge AI solutions aligned with their goals and operational needs.
- End-to-End Support
Offer full service throughout the entire process of implementing AI at the Edge. The devoted team works with clients from the first consultation, Edge learning AI and solution creation through deployment, integration, and maintenance.
- Data Security and Privacy
Experienced professionals prioritize data security and privacy, implementing robust measures to protect sensitive information. They adhere to industry best practices, compliance standards, and encryption protocols to ensure data remains secure within the edge AI ecosystem.
- Scalability and Future-proof Solutions
Our solutions are designed to be scalable and adaptable to evolving needs. We use architecture and frameworks to accommodate future expansions, allowing for the integration of additional edge devices, AI models, and cloud services as the ecosystem grows.
Edge AI Technology
We use several cutting-edge Edge computing artificial intelligence technologies and computing engineering tools to guarantee the highest level of solutions.
Internet of Things (IoT)
AWS IoT Greengrass | OpenVINO | Apache Edgent | IBM Watson IoT Platform |Edge Impulse |NVIDIA DeepStream SDK |Balena
PyTorch | ONNX | Keras | Apache MXNet | Core ML | TFLite Micro |CNTK (Microsoft Cognitive Toolkit)
BalenaCloud | Docker | Kubernetes |Microsoft Azure IoT Edge|Google Cloud IoT Edge|BalenaOS|Apache NiFi