18/01/2021
Internet of Things (IoT) is a new paradigm that has changed the traditional way of living into a high tech lifestyle. Smart city, smart homes, pollution control, energy saving, smart transportation, smart industries are such transformations due to IoT.
The Internet of Things (IoT) is an emerging paradigm that enables the communication between electronic devices and sensors through the internet in order to facilitate our lives. IoT uses smart devices and the internet to provide innovative solutions to various challenges and issues related to various business, governmental and public/private industries across the world.
IoT is an innovation that puts together an extensive variety of smart systems, frameworks and intelligent devices and sensors. IoT has also shown its importance and potential in the economic and industrial growth of a developing region.
IoT is helping in prominently capturing a tremendous amount of data from multiple sources.
Realizing the future and full potential of IoT devices will require an investment in new technologies. The convergence of AI (Artificial Intelligence) and IoT can redefine the way industries, business, and economies function. AI enables and IoT creates intelligent machines that simulate smart behavior and supports decision making with little or no human interference.
Combining these two streams benefits the common person and specialists alike. While IoT deals with devices interacting using the internet, AI makes the devices learn from their data and experience. This blog highlights why we need IoT and AI to work together..
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making and already it is transforming every walk of life.
Benefits of AI Enabled IoT
1. Boosting Operational Efficiency
2. Triggering New and Enhanced Products & Services
3. Better Risks Management
4. Increase IoT Scalability
5. Eliminates Costly Unplanned Downtime
Machine learning (ML) and artificial intelligence (AI) are becoming dominant problem-solving techniques in many areas of research and industry, not least because of the recent successes of deep learning (DL). However, the equation AI=ML=DL, as recently suggested in the news, blogs, and media, falls too short. These fields share the same fundamental hypotheses: computation is a useful way to model intelligent behavior in machines.
Data is becoming more meaningful and contextually relevant, breaking new grounds for machine learning (ML), in particular for deep learning (DL) and artificial intelligence (AI), moving them out of research labs into production.
So, AI and ML are both about constructing intelligent computer programs, and DL, being an instance of ML, is no exception. Deep learning which has achieved remarkable gains in many domains spanning from object recognition, speech recognition, and control, can be viewed as constructing computer programs, namely programming layers of abstraction in a differentiable way using reusable structures such as convolution, pooling, auto encoders, variationally inference networks, and so on. In other words, we replace the complexity of writing algorithms, that cover every eventuality, with the complexity of finding the right general outline of the algorithms in the form of, for example, a deep neural network and processing data.
And we are pleased to inform you all that we at BMek are more than capable of solving your problems and bringing your ideas into reality with help of technologies mentioned above.
