Howard L. Petterson

Digital biomarkers refer to objective and measurable physiological and behavioral information gathered via digital devices, including smartphones, wearable sensors, and connected medical instruments. In contrast to traditional biomarkers that typically depend on lab evaluations or in‑clinic assessments, digital biomarkers are produced continuously within everyday environments. They capture indicators such as heart rhythms, activity levels, sleep behaviors, vocal attributes, typing patterns, and movement dynamics, turning routine interactions with technology into meaningful health insights.Shifting from Occasional Treatment to Ongoing MonitoringTraditional health monitoring is typically episodic, based on occasional clinic visits and short diagnostic tests. Digital biomarkers shift this model toward continuous observation.…

Digital biomarkers are objective, quantifiable physiological and behavioral data collected through digital devices such as smartphones, wearable sensors, and connected medical tools. Unlike traditional biomarkers, which often rely on laboratory tests or in-clinic measurements, digital biomarkers are generated continuously in real-world settings. They capture signals like heart rhythm, physical activity, sleep patterns, voice characteristics, typing behavior, and movement dynamics, transforming everyday interactions with technology into health insights.From Episodic Care to Continuous MonitoringConventional health checkups usually occur sporadically through infrequent clinic appointments and brief diagnostic evaluations, while digital biomarkers move this approach toward ongoing monitoring. Around-the-clock tracking from wearable devices can…

Zero-knowledge proofs, or ZKPs, first emerged within academic cryptography and later entered the public spotlight through blockchain technology and privacy-driven cryptocurrencies. Their fundamental appeal lies in a remarkable idea: a party can verify the truth of a claim without disclosing the data that substantiates it. As organizations confront increasing demands to safeguard confidential information, meet rigorous regulatory requirements, and still operate collaboratively across different entities, this approach is becoming valuable well beyond digital asset ecosystems.A hands-on perspective on zero-knowledge proofsAt an enterprise scale, ZKPs support credible trust while revealing almost nothing. Rather than sharing raw information, organizations can offer proofs…

Zero-trust security represents an architectural strategy built on the premise that no user, device, or application is inherently trustworthy, even when operating within a corporate network, and access determinations are continually reassessed based on identity, device status, context, and behavioral signals, offering a clear departure from traditional perimeter-focused security models that automatically grant trust once individuals move inside the network.Cloud Adoption and the Fading Boundaries of the Network PerimeterAs organizations accelerate their shift toward cloud and hybrid ecosystems, one of the most powerful forces propelling zero-trust adoption is this swift transition, with businesses depending more heavily on multiple public clouds,…

Satellite internet has moved from a niche solution for remote locations to a cornerstone of next-generation connectivity. Falling launch costs, advances in satellite design, and tighter integration with terrestrial networks are reshaping how data is delivered globally. The result is a faster, more resilient, and more inclusive connectivity ecosystem that complements fiber, 5G, and future 6G networks.Low Earth Orbit Constellations Redefine PerformanceThe most transformative trend is the rise of Low Earth Orbit (LEO) satellite constellations. Orbiting at altitudes of roughly 300 to 1,200 kilometers, LEO satellites dramatically reduce latency compared to traditional geostationary satellites positioned 35,786 kilometers above Earth.Key impacts…

Industrial Internet of Things, widely known as Industrial IoT or IIoT, has progressed from simple connectivity and oversight into a strategic backbone for smarter operations, and this shift is seen most clearly in the departure from reactive and preventive maintenance toward predictive maintenance paired with rising degrees of operational autonomy, a change propelled not by hype but by tangible economic, technological, and operational pressures shaping contemporary industries.The Limitations of Traditional Maintenance ModelsFor decades, industrial assets were maintained using either reactive or preventive approaches. Reactive maintenance fixes equipment after failure, while preventive maintenance relies on scheduled servicing based on time or…