Carolina Rudinschi, PhD, Author at IIoT World

Carolina Rudinschi, PhD, author of a Digital Media Book, brings a wealth of experience in Research, Journalism, Public Relations and Social Media. Certifications include: Google Adwords Certified Specialist (Search & Mobile), Hootsuite Certified Professional, Facebook BluePrint & Digital Marketing Certification from University of Illinois. She has a PhD in Digital Journalism & Media and is experienced in running campaigns on Google AdWords, Facebook, Twitter, LinkedIn.

Carolina has an engagement in the global influencer program of Siemens AG. This is NOT an endorsement of SIEMENS AS products or services. It is Carolina’s role to encourage SIEMENS AG to think more openly and engage in a wider community. Carolina is independent in her work in this wider community and provides a unique set of insights accordingly to those willing to listen.

Carolina participates/participated in influencer & analysts programs with ABB, Hewlett Packard Enterprises, IBM, Schneider Electric, PTC.

March 20, 2026 · Artificial Intelligence

Atoms, Bits, and Neurons: The 2026 Mandate for Zero-Defect Manufacturing

The transition to Industry 4.0 has long been stalled by the “Data Silo” problem. In 2026, the conversation has shifted. Leading manufacturers are synchronizing Atoms (physical goods), Bits (digital data), and Neurons (human intelligence) through a paradigm known as Liquid Computing.This isn’t just incremental improvement; it is a structural rewiring of how quality is enforced on the factory floor.The “Wow” Factor: […]

March 19, 2026 · Energy

Time Series Database Buying Guide for Energy

The data challenge facing energy operations todayPower grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field devices is the foundation for real-time monitoring, predictive maintenance, and grid stability. Without the right data infrastructure, none of it […]

March 18, 2026 · Energy

From “Dumb” Assets to Intelligent Nodes: The New Energy Web

For decades, the power grid functioned as a one-way street: generation to consumption. Today, that model is being dismantled by the rise of the “Prosumer”, businesses and municipalities that both consume and generate power. This shift is turning a linear grid into a multidimensional, intelligent web.In this new ecosystem, energy storage serves as a critical node. […]

March 17, 2026 · Hybrid Manufacturing

Why Most Manufacturers Never Feel “Ready” for a Digital Twin

Most industrial leaders delay Digital Twin implementation because they believe their data is too “noisy” or incomplete. However, building a digital twin for sustainable resource management relies on useful data, not perfect data. By integrating existing WAGES (Water, Air, Gas, Electricity, Steam) signals into an agile model, plants can achieve ROI through improved decision confidence long before their […]

March 16, 2026 · Artificial Intelligence

Small Language Models: The Factory AI Infrastructure for the Modern Plant Floor

While the industrial world is captivated by the potential of Large Language Models (LLMs), a quieter, yet equally transformative, revolution is happening at the industrial edge: the rise of Small Language Models (SLMs). Often overshadowed by their larger counterparts, SLMs are proving to be the pragmatic, specialized AI tools manufacturers actually need for specific, resource-constrained […]

March 13, 2026 · Artificial Intelligence & ML

Eliminating the “Hidden Factory”: The Economics of Agentic Quality Control

In every manufacturing plant, a “hidden factory” exists: the collective time, energy, and capital spent on rework, manual inspections, and alarm fatigue. In 2026, the competitive edge is in eliminating this invisible waste through Predictive Governance.The ROI of “Explainable” IntegrityThe transition to zero defects is often stalled by a lack of trust. If a vision system […]

March 12, 2026 · Energy

The Digital Twin of Energy: Why Storage Requires an IIoT “Nervous System”

As energy storage systems (ESS) move from niche pilot projects to the backbone of the modern grid, a critical realization has emerged: the hardware is only as good as the software managing it. While a battery’s chemistry determines its potential, its Industrial IoT (IIoT) architecture determines its actual value and lifespan.In the transition to a decentralized grid, […]

March 10, 2026 · Predictive Analytics

Fortifying the Factory Floor: New Tech and Asset Monitoring for Unshakable Resilience

In today’s interconnected global market, disruptions are a constant in business. Policy shifts and new trade landscapes have compressed margins and clouded market access for manufacturers worldwide. To thrive, leaders must do more with existing resources by embedding operational resilience directly into the factory floor.How to improve factory efficiency with newh?Improving factory efficiency nowadays is […]

March 8, 2026 · Predictive Maintenance

Beyond Predictive Maintenance: How to Protect Your Margins in an Era of Disruption

Industrial manufacturing has entered a period of constant volatility. Today, risks like trade wars, tariffs, and geopolitical instability are everyday realities that disrupt supply chains and inflate production costs. In this high-stakes environment, traditional lean operating models are no longer enough. Manufacturers must rethink equipment upkeep to ensure operational resilience. IIoT World examines the strategies […]

March 7, 2026 · Connected Industry

How Manufacturers are Meeting ESG and Sustainability Goals in 2026

In 2026, global manufacturers are meeting Environmental, Social, and Governance (ESG) goals by transitioning from manual reporting to autonomous sustainability. IIoT World tracks the technologies and frameworks driving this shift across energy, safety, and compliance. Key strategies include: Environmental: Using Physics-based Digital Twins (e.g., Akselos) to extend asset life and MQTT-based IoT(e.g., HiveMQ) to reduce energy consumption by over 20%. […]

March 6, 2026 · Artificial Intelligence

The Data Readiness Paradox: Why Smaller Manufacturers are Primed to Scale AI Faster

There is a prevailing assumption in manufacturing that advanced AI is a “big company game.” Global enterprises have the deep pockets, dedicated data scientists, and massive datasets required to make AI work. However, evidence from the shop floor suggests a surprising inversion. While the largest organizations are spending more, Small and Medium Manufacturers (SMMs) are often more […]

March 5, 2026 · Predictive Maintenance

The Investment Filter: How AI Exposes the True Cost of Your Operational Data

For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new, critical filter emerging in the era of artificial intelligence, and it has nothing to do with financial modeling. It […]