WELCOME TO The THE INTERNET OF THINGS REPORT
Build an IoT Solution in Minutes - Connect Devices
| April 11, 2017
Tempo Technologies provides a user-friendly, plug-and-play IoT system that helps businesses track, locate, organize and process inventory, assets and workflows.
Article | April 10, 2020
As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.
Article | March 17, 2020
Given such examples, the Internet of Things (IoT) is seen as a way of living a smarter and safer life and its application is highly encouraged in medical establishments. However, digital transformation in healthcare isn’t without threats. It’s important to weigh all the advantages and disadvantages of implementing IoT systems in healthcare to be able to plan for ways to maximize the pros while mitigating the cons.
Article | April 13, 2021
For businesses, the transformative power of IoT is increasingly significant with the promise of improving operational efficiency and visibility, while reducing costs.
However, IoT does not come without risks and challenges. While concerns over security and data privacy continue to rise, the lack of IoT standards remains one of the biggest hurdles. The increasing number of legacy, single-vendor, and proprietary solutions cause problems with disparate systems, data silos and security gaps. As IoT successes become more dependent on seamless interoperability and data-sharing among different systems, we want to avoid the scenario of a fragmented market with numerous solutions that simply don’t work with each other.
Article | February 15, 2020
The term ‘connectivity’ is no more confined to laptops and smartphones, as we’re witnessing a transition towards smart cities, smart homes, smart retail, connected cars along with connected healthcare to name a few. In this arena where advanced technologies have been blooming at a tremendous rate, IoT is also catching up. IoT has been one such technology that is going to have an impact not only today but also in the coming future. The base for IoT is designed for storing and processing IoT data and is the core of all IoT-related devices and solutions. The base has been set in such a way that it provides an intake of huge volumes of data generated by sensors, user websites, applications and then accordingly initiates actions based on real-time responses and analytics.
Keep me plugged in with the best
Join thousands of your peers and receive our weekly newsletter with the latest news, industry events, customer insights, and market intelligence.
Put your news, events, company, and promotional content in front of thousands of your peers and potential customers.
Not a member yet? Not a problem, Sign Up
Sign up to contribute and publish your news, events, brand, and content with the community for FREE