How many weeks do you think it will take to deploy your AoT Health MVP? Deployed

9 Challenges of AIoT health MVP

10 weeks? 20 weeks? 30 weeks? 50 weeks?

1. Too Complicatied for SaaS installation -Challenges of AIoT health MVP

Is the installation process of the AIoT SaaS platform too complicated?

Is the system difficulty too high for the selection of cloud and ON PREMISE servers, server system requirements, planning of CPU quantity and memory capacity, storage space, bandwidth, load, and other key server parameters?

We shall help you installation in weeks. But you need to provide above details.

2. Difficult of Buiding Rule Chains-Challenges of AIoT health MVP

Is the difficulty of building rule chains for data collection and configuring device attributes too high?

Different data collection devices have different data attributes. Is it a complicated process to plan the rule chains for collecting data? The configuration of data attributes must be accurately evaluated.

3. Not easy to edge Computing -Challenges of AIoT health MVP

Edge computing and rule chain construction

In order to reduce the pressure on the cloud or ON PREMISE server, the accurate evaluation of edge computing devices, the data feature configuration of edge devices, and the deployment of rule chains need to be planned.

4. Alarm rule establishment is not easy

According to the application scenario and data characteristics, detect individual object characteristics, make warning rules, filter data, and make alarm notifications.

5. Device and edge computing integration complex

Based on device configuration and rule chain, platform device integration is performed to complete the data collection process.

6. Not Visual dashboard -Challenges of AIoT health MVP

With the application scenario as the core, visual dashboard deployment is performed for each data attribute. Different data belongs to different charts and graphs.

7. No OTA and version control

Control is required for firmware and versions that are constantly dropping to ensure the normal scale expansion of the platform.

8. Data trend analysis and AI agent model training wasting Time

Use AI agents to collect basic data and instance device data, continuously perform model training, generate trend reports with predictive value, and optimize health preventive measures step by step.

9. compliance and data security is complex

An MVP platform that is not based on compliance is difficult to operate commercially. Data security management, customer key control, communication encryption process control, etc. are all challenges faced by MVP, and professional teams are required to execute these processes.

• How Can We Work Together?

There Are Many Scenarios For Cooperation Between Us.

1. You have a mature IoT SaaS platform. With our simple technical support, you can make your AI healthcare solution at the forefront of technology and build SaaS integration of our products within a few hours, and you can visit Hiedesign to get much more about your customization idea from Highfive Electronics Group.

2. You have engineers who can or have just started to build and deploy IoT SaaS platforms. With our assistance, you can quickly integrate our products, expand more AI health care solution features, and attract global attention.

3. You still have not any IoT platform and have no plans to build and deploy IoT SaaS platforms yourself. We can help you build and deploy IoT SaaS platforms from PoC to MVP, large-scale commercial applications, please visit our website AIoTHealth.

4. Or you are still a preliminary understanding of the AI ​​healthcare industry, and need to start a business in AI health care with the help of cutting-edge technology, or just have an entrepreneurial idea, and plan to find some of the best AI health technologies to gain the trust of investors. You can contact us and we will provide one-stop guidance throughout the process.