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Manufacturing organizations can’t protect asset uptime when they can’t answer fundamental questions:   Despite generating more asset data than ever before, most manufacturers operate with fragmented information that undermines the confident, fast decision-making required to maximize uptime and avoid unplanned failures.  The problem isn’t data scarcity, it’s fragmentation. Engineering, production, quality, and maintenance systems operate in isolation, each maintaining its own view of machines, tooling, and automation assets. Asset hierarchies differ. Component serial numbers don’t align.

The global energy landscape has entered a period of sustained volatility. Geopolitical tensions continue to disrupt traditional supply chains, sending oil and gas prices on an unpredictable trajectory that challenges even the most experienced operators. For energy companies, the question is no longer whether disruption will occur, but more about how quickly they can adapt.

1. Understand your demand patterns The first step to sustainable inventory control is to analyze your sales data and identify the trends, seasonality, and fluctuations in your demand. This will help you forecast your future sales and plan your inventory accordingly. You can use historical data, market research, customer feedback, and industry insights to inform

Imagine you’re an upstream accountant at a major oil and gas producer. It’s the end of the month, and you manage to close the books without chasing approvals, rekeying data, or fixing miscoded invoices at the last minute. That level of calm is no longer a fantasy. AI-driven tools are starting to make it real for upstream oil and gas operators. 

Every CIO has seen this pattern. The board wants AI transformation. Vendor demos look incredible. You get budget approval and kick off a high-visibility pilot targeting a strategic process. Six months later, you’re still trying to get it into production. A year later, it’s quietly shelved. Meanwhile, somewhere in your organization, or at a competitor,

1. Define and measure logistics performance indicators One of the first steps to improve logistics performance is to define and measure the relevant indicators that reflect the goals and objectives of the business. These indicators can include metrics such as delivery time, accuracy, cost, quality, safety, and sustainability. By measuring these indicators, you can identify

For most people it’s a geopolitical story.  For anyone responsible for transport, logistics or freight spend, it’s something else entirely: a reminder of how quickly global transport networks can destabilize.  When a chokepoint like Hormuz is disrupted, the effects show up almost immediately:  Within days, the problem stops being a regional issue and becomes a global logistics problem. And if the last few years have taught us

Today’s global carriers and integrated logistics providers manage unprecedented levels of pricing and operational complexity. Every day, they navigate thousands of lanes, regions, partners, and service variations, each with its own rules, surcharges, and contractual commitments. In this reality, even small billing discrepancies can erode margins, disrupt customer relationships, and introduce compliance risk.   Revenue protection has therefore become

1. What is a balanced scorecard? A balanced scorecard is a strategic management tool that helps you align your vision, mission, and goals with your performance measures. It consists of four perspectives: financial, customer, internal processes, and learning and growth. Each perspective has its own objectives, indicators, targets, and initiatives. By using a balanced scorecard,

“Houston, we might have a problem.” That’s how I opened the session at Industrial X Unleashed. Because while AI is reshaping every industry, it can’t run on promises alone. AI needs power – a lot of it. In the next five years, global electricity demand is projected to rise by 50 percent. Data-center growth, electrification of transport and