The Future of Industrial Sensing: Why Flexibility Wins
Traditional sensor deployments are rigid, expensive, and slow to adapt. Here's why the industry is shifting toward modular, sensor-agnostic platforms.
Read Article →Perspectives on industrial IoT, sensor technology, and the future of manufacturing from Cohera's founder.
Traditional sensor deployments are rigid, expensive, and slow to adapt. Here's why the industry is shifting toward modular, sensor-agnostic platforms.
Read Article →A comprehensive introduction to Industrial IoT—technology, applications, benefits, and how it transforms operations.
Read Article →A practical roadmap for launching IIoT initiatives, from identifying use cases to scaling for enterprise impact.
Read Article →Evaluating custom development, commercial platforms, and hybrid approaches for Industrial IoT initiatives.
Read Article →Choosing the right connectivity approach based on reliability, cost, and application requirements.
Read Article →Comparing latency, bandwidth, reliability, and cost to choose the right architecture.
Read Article →Comparing condition-based and time-based maintenance strategies for effectiveness, cost, and implementation.
Read Article →Comparing two leading protocols for data modeling, security, performance, and practical implementation.
Read Article →Why smart home approaches fail in factories, and what industrial applications actually require.
Read Article →Comparing traditional process control systems with modern Industrial IoT platforms.
Read Article →Comparing InfluxDB, TimescaleDB, industrial historians, and cloud solutions for sensor data.
Read Article →A framework for evaluating Industrial IoT platforms across scalability, security, and integration.
Read Article →Tracking location, condition, and utilization of forklifts, vehicles, and mobile machinery.
Read Article →Thermal imaging, power quality, and predictive maintenance for electrical distribution systems.
Read Article →Optimizing chemical dosing, ensuring discharge compliance, and protecting process equipment.
Read Article →Integrating smoke, heat, and flame detection with facility systems for faster response and better protection.
Read Article →Identifying fluid leaks, gas releases, and containment failures before they become safety incidents or environmental problems.
Read Article →Protecting worker hearing, ensuring OSHA compliance, and optimizing equipment health through acoustic analysis.
Read Article →Battery health tracking, capacity verification, and predictive maintenance for uninterruptible power systems.
Read Article →Protecting worker health, ensuring process quality, and maintaining regulatory compliance.
Read Article →Identifying failed traps, quantifying energy losses, and optimizing steam system efficiency.
Read Article →Dissolved gas analysis, thermal monitoring, and predictive maintenance for critical electrical assets.
Read Article →Ensuring readiness, tracking maintenance, and verifying performance when needed.
Read Article →Predictive maintenance and performance optimization for critical process control elements.
Read Article →Combustion efficiency, safety monitoring, and predictive maintenance for steam and hot water systems.
Read Article →Water treatment optimization, energy efficiency, and Legionella risk management through connected sensing.
Read Article →Predictive maintenance for the most common rotating equipment in industrial facilities.
Read Article →Detecting fouling, optimizing cleaning schedules, and maintaining thermal efficiency.
Read Article →Inventory visibility, safety protection, and process optimization through connected level measurement.
Read Article →Predictive maintenance, efficiency optimization, and reliability improvement for critical fluid handling equipment.
Read Article →Maintaining environmental conditions for process quality while minimizing energy consumption.
Read Article →Predictive maintenance, throughput optimization, and reliability improvement for material handling systems.
Read Article →How connected technology supports continuous improvement, waste elimination, and flow optimization.
Read Article →Optimizing the most expensive utility in manufacturing through connected monitoring and analytics.
Read Article →Addressing the unique challenges of high-speed, multi-format packaging operations.
Read Article →Managing connected infrastructure from deployment through operations, upgrades, and retirement.
Read Article →Remote diagnostics, predictive dispatch, and technician empowerment through real-time equipment data.
Read Article →Dynamic scheduling based on actual equipment status, capacity, and real-time constraints.
Read Article →From vision to roadmap—aligning IoT initiatives with business objectives and building sustainable programs.
Read Article →Automatic capture, root cause identification, and systematic reduction of production losses.
Read Article →Balancing availability against carrying costs through condition-based demand forecasting.
Read Article →Integrating Safety Instrumented Systems (SIS) with Industrial IoT while maintaining SIL integrity and IEC 61511 compliance.
Read Article →Ensuring food safety, optimizing production efficiency, and achieving FSMA and HACCP compliance through connected sensor systems.
Read Article →Creating end-to-end traceability from design through production to service with integrated PLM and IoT data.
Read Article →From upstream exploration to downstream refining—addressing unique challenges of remote operations and hazardous environments.
Read Article →Integrating industrial robots, AGVs, and cobots with IoT platforms for monitoring, optimization, and flexible automation.
Read Article →Unique challenges and proven solutions for automotive, aerospace, electronics, and assembly operations.
Read Article →From condition monitoring to reliability-centered maintenance—building comprehensive asset strategies enabled by connected sensors.
Read Article →Bridging the gap between enterprise planning and shop floor reality through real-time data integration.
Read Article →Creating operator interfaces that enhance situational awareness and drive action in modern manufacturing environments.
Read Article →Process optimization, safety monitoring, and environmental compliance in complex chemical operations.
Read Article →From underground operations to processing plants—connecting heavy industry with modern digital capabilities.
Read Article →Wearables, environmental monitoring, and proactive safety systems that prevent incidents before they occur.
Read Article →Optimizing thermal plants, wind farms, solar installations, and grid integration with connected sensor systems.
Read Article →How connected data transforms lean manufacturing, Six Sigma, and kaizen initiatives.
Read Article →Managing machine learning models from development through deployment, monitoring, and retraining in production environments.
Read Article →Real-time visibility into materials, work-in-process, and finished goods throughout manufacturing operations.
Read Article →Digital twins, augmented reality, and data-driven approaches to developing skilled industrial operators.
Read Article →Managing extreme process precision, fab-wide yield optimization, and equipment effectiveness in the most demanding manufacturing environment.
Read Article →Quality, ownership, lifecycle management, and compliance for operational data at scale.
Read Article →HVAC optimization, energy management, occupancy analytics, and building automation for manufacturing facilities.
Read Article →Evaluation criteria, RFP process, vendor assessment, and avoiding common selection mistakes.
Read Article →Transforming utility operations through connected sensors, real-time analytics, and automated compliance reporting.
Read Article →Understanding wireless technologies for industrial applications—from Wi-Fi and Bluetooth to LoRa, Zigbee, and industrial mesh protocols.
Read Article →How OPC Unified Architecture enables seamless integration across industrial systems with vendor-neutral, secure data exchange.
Read Article →Achieving consistent quality and maximum yield through golden batch analysis, ISA-88 recipe management, and real-time process monitoring.
Read Article →Enabling end-to-end transparency from raw materials through delivery with real-time tracking and condition monitoring.
Read Article →From accelerometers to actionable insights—implementing effective vibration monitoring for rotating equipment.
Read Article →Ensuring product quality and regulatory compliance through comprehensive environmental sensing.
Read Article →Cameras as sensors—adding visual data to industrial monitoring and control systems.
Read Article →Creating the foundation for industrial analytics at scale with modern data lake architecture.
Read Article →Running machine learning models on industrial edge devices for real-time decision making.
Read Article →Building reliable network infrastructure with PROFINET, EtherNet/IP, and TSN for connected manufacturing.
Read Article →Leveraging publish-subscribe messaging for scalable industrial data distribution with Sparkplug.
Read Article →Using process data to predict quality outcomes and prevent defects before they occur.
Read Article →Ensuring measurement accuracy through connected calibration systems and predictive scheduling.
Read Article →Building scalable, maintainable IoT platforms with Docker, Kubernetes, and modern software architecture.
Read Article →Moving from detecting defects to preventing them—how connected sensors transform quality management in manufacturing.
Read Article →Transforming how we manage distributed industrial assets—from reactive site visits to proactive operations centers.
Read Article →Translate Industry 4.0 concepts into concrete architectural decisions.
Read Article →Where ML actually adds value in manufacturing, and how to avoid costly mistakes.
Read Article →A practical guide to implementing digital twins that deliver measurable operational value.
Read Article →The talent and organizational strategies that make IoT initiatives succeed.
Read Article →Moving beyond vanity metrics to measure real operational impact from your IoT investments.
Read Article →Bridging decades-old equipment with modern monitoring capabilities without disrupting operations.
Read Article →A practical framework for choosing between cloud, on-premise, and hybrid deployment models.
Read Article →Why technology is the easy part, and how to manage the organizational change that makes or breaks IoT initiatives.
Read Article →Threats, defense strategies, and building security into your IIoT architecture from the start.
Read Article →How sensor technology drives sustainability goals through energy optimization and waste reduction.
Read Article →Why 70-80% of IoT pilots never reach production, and the strategies that actually work for scaling deployments.
Read Article →Navigate the protocol landscape and build systems that work together without vendor lock-in.
Read Article →What to ask, what to avoid, and how to make the right vendor choice for your facility.
Read Article →Beyond upfront costs: the comprehensive framework for calculating true IoT investment costs.
Read Article →Common mistakes in industrial IoT projects and practical strategies to avoid them based on real-world experience.
Read Article →How to choose the right sensors for your application: types, specifications, and common mistakes.
Read Article →Design principles for effective industrial dashboards that drive action, not just display data.
Read Article →Critical considerations for data ownership, security, and sovereignty in manufacturing environments.
Read Article →How 5G transforms industrial deployments with ultra-low latency, massive device density, and private network capabilities.
Read Article →A practical framework for calculating predictive maintenance ROI, including the hidden costs everyone forgets and realistic timelines.
Read Article →Real-time monitoring in pharmaceutical manufacturing isn't just about meeting FDA requirements. It's about unlocking operational excellence.
Read Article →What we learned creating a platform that works with any sensor type, and why interoperability is the key to industrial IoT success.
Read Article →Enterprise sales cycles for industrial technology are long and complex. Here's how we approached building a go-to-market strategy that worked.
Read Article →Not everything needs to go to the cloud. Understanding when edge computing makes sense for industrial applications.
Read Article →How to store, compress, query, and retain years of sensor data without breaking your budget or your queries.
Read Article →The difference between IoT projects that get funded and those that don't isn't technology—it's how you frame the value.
Read Article →The difference between IoT systems that drive action and those that get ignored is alarm management.
Read Article →The gap between working in the lab and working in production is where many IoT projects fail. Here's how to bridge it.
Read Article →You can't manage what you can't measure—and most facilities can't measure energy consumption at the level of detail that enables optimization.
Read Article →Where are your assets right now? If the answer requires someone to go look, you're leaving value on the table.
Read Article →IoT projects fail more often than they succeed. Here's how to stack the odds in your favor through disciplined project management.
Read Article →Connected systems create new compliance obligations—and opportunities. Here's how to navigate the regulatory landscape.
Read Article →I'm always happy to connect with others working on industrial IoT challenges.