WELCOME TO The THE INTERNET OF THINGS REPORT
The Impact of Connectedness on Competitiveness
| May 12, 2018
Client Solutions collaborates with customers to accelerate business transformation with solutions that leverage the latest technology to ensure businesses gain maximum value.
Article | February 11, 2020
If you own smart home products like SmartThings or Nest, you may be familiar with some of the technologies behind them. Network protocols like Zigbee and Z-Wave dominate the industry, while Thread, a younger network standard, is gaining headway as a strong contender in the battle for market share. Although this may seem like your typical rivalry between industry leaders, the competitive landscape is more complicated than selecting one over another.
Article | April 3, 2020
In 2018 when Apple unveiled its iconic iPhone X with a feature to unlock the phone with Face ID thereby eliminating the use of the home button, it met a lot of eye-rolls. Fast forward to now, people are in love with the biometrics enabled technologies. While iPhone X had a unimodal authentication system, gadget these days have updated themselves in a better way. Let’s try to have a better understanding of the Biometrics. Biometrics are a way to measure a person’s physical characteristics to verify their identity. It can be physiological traits, like fingerprints and eyes, or behavioral traits, that define the manner an individual respond to stimuli. These characteristics are unique to the person. Once collected the data compared with the pre-existing database to find a match. Accordingly, it then produces an outcome. There are many varieties in which this data is collected. Facial and voice recognition, iris and finger scanner, signature verification, hand geometry, keystroke, gait detectors are some of the examples.
Article | February 18, 2020
IoT is huge, but AI has the potential to supercharge the technology even more. Gartner predicts that this year 80 percent of all enterprise IoT projects will include AI. One area where many have been critical of IoT is a lack of good security. When coupled with AI, that could be improved, but some worry that AI can also be used as a tool to defeat IoT security. Dean Chester, cybersecurity author, wrote that “AI can be used for IoT security, or it can be used against it.”Melvin Greer, Chief Data Scientist, Intel Americas , said that “AI and IoT are no longer in separate swim lanes. AI closes the loop in an IoT environment where IoT devices gather or create data, and AI helps automate important choices and actions based on that data. Today, most organizations using IoT are only at the first ‘visibility’ phase where they can start to see what’s going on through IoT assets. But they’re moving toward the reliability, efficiency and production phases, which are more sophisticated and require stronger AI capabilities.
Article | March 11, 2020
Most would agree that the adoption rate of the Internet of Things (IoT) has fallen well short of predictions. Given the proven benefits that the IoT can deliver, such as preventative maintenance and real-time asset management, it’s confounding that every company isn’t well on its way to leveraging IoT. There are far more attempts to adopt the IoT than successes, says Terri Foudray, founder and CEO of Rumble, as well as several reasons that the IoT is not meeting or exceeding adoption forecasts. The culprits behind adoption failures include the lack of available talent, the overwhelming and complex volume of prospective vendors, the lack of a solid business case to define success, and the derailing of initiatives caused by unanticipated political and cultural pitfalls that often accompany enterprise-wide technology adoption.
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