Article | March 11, 2020
When people think of AI, it's easy to jump to the many possible uses seen in movies -- such as accessing secret areas with biometric data or robots completing human jobs -- but applying AI realistically requires architects and administrators to understand just how flexible AI is in a business setting. Tech leaders have rapidly increased the number of AI and IoT projects in many areas of their businesses, including customer experience, data analysis and security. When organizations apply AI into these different aspects, they can more effectively process the IoT data they create and further improve their operations and products. Popular movies have made customer experience AI one of the better-known examples of AI. Ads may not be as flashy as the personally tailored ones using customer biometrics as seen in The Minority Report, but it's easy to see how organizations will get there from the online ads that use AI to give consumers offers specific to their interests. Businesses use AI that learns from data analytics on customer behavior throughout the IoT customer journey.
Article | March 20, 2020
To prevent counterfeit devices from joining a network or to limit the opportunity for network attacks, it’s important to authenticate devices attempting to join Internet of Things (IoT) networks and subsequently connect only authorized devices. The standard mechanism to securely authenticate clients connecting to a server is transport-layer-security (TLS) client-side authentication. To implement such authentication in an IoT network, the appropriate certificate authority (CA)—usually the IoT device provider—issues a unique X.509 certificate to each IoT device and the associated private key that functions as a unique security credential for the IoT device. Once the certificate and associated private key are stored on the IoT device, it may use them during the TLS client-authentication process to securely join the IoT network.
Article | February 14, 2020
Technology drives innovation, and for most retail companies, the “Transform or Die” motto still rings true. Retailers are always experimenting with the latest tech innovations to reshape the customer experience to alter their expectations both in physical stores and online. But simply following every hot trend in the industry because of the fear of missing out (FOMO) is one of the most common mistakes retailers make when adopting emerging technologies. The retailers who thrive in their respective markets are the ones who learn how to implement technologies that deliver the highest return on investment (ROI) from Gartner’s hype cycle for emerging technologies.
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.