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DPR on Fire

Canadian Wildfires Are a Wake-Up Call: Why Every IT Leader Should Review Their Disaster Recovery Plan

As wildfires continue to impact communities across Canada, they should serve as a powerful reminder that disasters don’t always look like cyberattacks or hardware failures. Sometimes they are environmental events that happen with little warning and create widespread disruption for employees, customers, suppliers, and critical infrastructure. According to the Canadian Interagency Forest Fire Centre (CIFFC), recent wildfire seasons have repeatedly stretched emergency response resources across multiple provinces, while Natural Resources Canada – Annual Report 2025 notes that...

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Powering Off

Powering Off: Why Time Away from Tech Improves Performance

The technology industry has a bit of a productivity problem. Not because people aren’t working hard enough, quite the opposite, they are masters of juggling full plates with competing priorities. Many IT professionals, developers, project managers, cybersecurity specialists, and technology leaders are working harder and staying connected longer than ever before. Smartphones, collaboration tools, cloud platforms, and remote work have created a world where it is possible to be available around the clock. The challenge is that our brains were never designed to operate this...

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Neurodiversity

It’s Time to Talk About Neurodiversity in Tech

The technology industry has always celebrated innovation, creative problem solving, and thinking differently. Here at STEP, we see abstract thinking is a highly sought after feature. Yet many organizations continue to overlook one of the most valuable sources of diverse thinking available to them: neurodivergent professionals. While businesses compete for talent, navigate increasingly complex technology environments, and search for new ways to innovate, many leaders are discovering that neurodiversity is not simply a DEI initiative; it’s a misunderstood business opportunity. With...

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Credential Sprawl

Credential Sprawl: The Hidden Risk Growing Inside Your Organization

Over the past several months, we’ve explored some of the biggest challenges facing technology leaders today. We’ve discussed technical debt, AI technical debt, digital sovereignty, workplace mental health, and the importance of maintaining a human-centered approach to technology. These topics may seem unrelated. The reality is, they all connect to a growing problem that many organizations are struggling to manage: Credential Sprawl It’s one of the most overlooked risks in modern IT environments, yet it has direct implications for cybersecurity, operational...

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Technical Debt

Buried in Technical Debt

Most business leaders understand financial debt; borrow money today, pay interest tomorrow. Technical debt works much the same way. Every time leadership delays a software update, postpones a modernization initiative, extends the life of a legacy application by opting for a quick fix over a long-term solution, the business takes on technical debt. Sometimes that decision is necessary, budgets are limited, priorities shift, and businesses need to keep moving. The problem is, technical debt accumulates interest, and right now, the interest rate has never been higher and thanks to AI...

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Humans and AI

Humans in an AI Time: Why People Are Becoming the Most Important Investment in Technology

For years, conversations about technology talent have been focused primarily on technical expertise. Organizations have competed for software developers, cloud architects, cybersecurity specialists, data analysts, and infrastructure experts. The assumption was simple: the more technical talent you could attract, the more successful your technology initiatives would be. While technical expertise remains critical, a significant shift is occurring across the business landscape. Today, many organizations are discovering that their biggest workforce challenges are not purely technical;...

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digital sovereignty

Digital Sovereignty, Again

Why Businesses Need to Care this Time For years, discussions about cloud computing, software procurement, and data management focused primarily on cost, performance, and scalability. However, with geopolitical tensions on the rise, digital sovereignty is once again erupting into heated conversations around boardroom tables across the globe. What began as a concern for governments and critical infrastructure providers is rapidly becoming a business issue. Organizations are increasingly asking where their data resides, who controls it, which laws apply to it, and whether their...

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Garbage In - Garbage Out

Garbage in – Garbage Out: The 2026 Edition

For years, data cleansing has been treated like a back-office IT task, important, but rarely urgent. Things have changed. In the era of AI, automation, cybersecurity threats, and digital transformation, clean data has become a business-critical asset. Organizations investing millions into modernization initiatives are discovering a hard truth: bad data quietly destroys software projects, weakens AI systems, increases cybersecurity risk, and drives up operational costs. For business leaders responsible for technology budgets, the conversation is no longer about whether data...

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Developer Workplace Mental Health

Workplace Mental Health: Why Education Matters More Than Ever

May is Mental Health Awareness Month, and while many organizations acknowledge it with webinars, green ribbons, or reminder emails, the reality is that workplace mental health has become a year-round business issue, especially in technical industries. For technology professionals, the workplace pressure has intensified dramatically over the last few years. Between rapid AI adoption, always-on digital environments, tight deadlines, cybersecurity threats, and constant upskilling demands, many employees are quietly operating in survival mode. The challenge for business leaders is no...

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AI Tech Debt

AI Technical Debt: The Hidden Cost, Can You Feel it?

Artificial intelligence (AI) has quickly shifted from an innovation experiment to an operational necessity. Organizations are deploying AI copilots, automation platforms, customer service bots, analytics engines, and AI-generated software at record speed. But many businesses are discovering an uncomfortable reality: the faster AI is ‘adopted,’ the faster technical debt can accumulate. And you can’t ask AI ‘what were you thinking?’ because AI doesn’t think. It determines what the next token of code is(most likely) and outputs it (with some random variability) without thinking. This...

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