Machine learning: Different models or different parts of a model can be deployed as individual services, making the system more manageable and scalable. Internet of Things (IoT): Microservices can help handle IoT data effectively by dividing tasks among multiple services. Are microservices right for...
With 25+ SDKs we target every major platform across web, mobile, and IoT. We are committed to the OpenAPI and AsyncAPI initiatives, as well as the Open Data Streaming Program (ODSP), so organizations can host and distribute open streaming data sources for free using the Ably Hub. Our pla...
COMMUNICATIONS CONSULTING - JOURNEY TO DIGITAL AND CLOUD approach and has enabled OCC to build a strong knowledge base and experience in the field of 5G, IoT, Cloud Native and other digital and other disruptive business applications that would be of interest for a CSP on a digital transfor...
The amount of data can soar by the support of IoT devices. We believe that future research which combines smart contract, machine learning, and AI will make profound changes in the literature and industry practices.For example, the novel COVID-19 pandemic has taught us that we need to learn...
Teamviewer is a leading remote connectivity solution provider. It has augmented reality (AR) and internet of things (IoT) implementations for business growth and exploring their digital potential. It’s a great platform to manage and secure your IT infrastructure’s health. Its features include remo...
Well, if this is for a large advertising agency that collects behavioral data from dozens of SaaS platforms, then I probably deploy the system to a public cloud. But what if it’s a manufacturer, and the events come from thousands of IoT sensors, and the factory is in a remote area in...
PaaS benefits can also be optimized. Planning is the key to this as well. Cloud providers often offer multiple ways of doing essentially the same thing -- high-level PaaS features aimed at IoT, for example, that are really wrappers around lower-levelfeatures such as event handling. Yo...
Drawbacks or disadvantages of SDRFollowing are the challenges or drawbacks or disadvantages of SDR commonly found during SDR implementations. ➨Poor dynamic range in some SDR prototype designs. ➨It is difficult to write software to support different target platforms. ➨SDR architecture co...
8. RF transmitters and receivers can consume significant power which can be a concern for battery powered devices such as mobile phones and IoT sensors. 9. RF technology is subject to regulations and licensing in many regions which can add complexity to its implementations. ...