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Tag: artificial intelligence

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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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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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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Edge Computing

Edge Computing & Business: Getting Closer to the Action

If cloud computing was the first wave of digital transformation, edge computing is what’s happening next, quietly reshaping how businesses process data, make decisions, and deliver real-time experiences. For business leaders managing technology budgets, edge computing isn’t just a trend. It’s a strategic shift in how infrastructure is designed to support speed, efficiency, and scalability. Over the last two weeks we have touched on how edge computing correlates with Well-Architected Framework and Embedded Systems; this week we dive into the details of it. What is Edge...

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Down the software rabbit hole

Down the Software Rabbit Hole: Why Business Leaders Should Lean into Technical Deep Dives

We’ve all been there, you’re in a meeting with stakeholders and technical SMEs and you ask a simple, budget-conscious question: Is it possible to make the app faster for users and cheaper to maintain?” One of your brightest developers enthusiastically leans forward, and says: “Yes… but it depends.” And just like that, you’re in a conversation that includes terms you’re sure are made up, acronyms that you’ve never heard of and concepts you suspect went into the Artemis II launch. You try and keep up but gapped somewhere after they said, ‘quad trees,’ but before ‘performance...

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Large Language Model

What Is an LLM (Really)? A Practical Guide for Business and Technology Leaders

Large Language Models (LLMs) are having a moment. They’re hot topics around boardroom tables, branches of product roadmaps, and part of just about every vendor pitch deck. But behind the buzzword is a concept that’s both simpler and more nuanced than it first appears. For tech and business leaders, understanding what an LLM is (and just as importantly, what it is not) is key to making smart, strategic decisions. This week we dive into LLM’s from the perspective of a software development company who fields questions about with our advisory client’s and uses them to achieve our client’s...

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AI Literacy

AI Literacy Matters, Now More Than Ever

AI is touching nearly every role in every industry, from customer service chatbots to automated data workflows to AI-assisted coding. According to recent data, job postings that mention AI skills have more than doubled from 2023 to 2025, showing that employers increasingly value (and require) these competencies in the labour market. AI literacy, even at a basic level, has become a competitive advantage across sectors. However, according to a global study that included Canadian respondents, Canada ranks among the lowest-performing advanced economies in AI literacy and training, with only...

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Out of stock RAM

Got RAM? Not so Fast: What the 2026 RAM Famine Means for Businesses

As we turn the calendar page to the final month of Q1-2026, one of the tech world’s most surprising supply-chain stories isn’t about the chips we’ve always struggled to source, it’s about memory, RAM (random-access memory) to be precise. A once relatively stable commodity that has suddenly become scarce, expensive, and a central concern around boardroom planning tables across the globe. From skyrocketing server costs to delayed product launches, this ‘memory famine’ is more than a semiconductor blip, it’s shaping up to be one of the defining(and concerning) tech supply trends of the...

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Coding with AI

AI Coding Agents: Yes, Maybe, or No?

If you have been following anything tech or AI related the past couple of weeks your feeds have likely blown up with headlines about Claude Opus 4.6 and autonomous coding agents. The latest flagship model by AI Research company Anthropic is at the center of the frenzy: 16 Claude AI agents tasked to build a Rust-based C compiler is a milestone that feels straight out of science fiction. What’s the real story here, is this 2026’s version of vibe-coding? This week on our blog we dive into the excitement of coding with AI, the approach with caution areas and the disappointing parts of...

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Legacy Systems and AI?

Legacy Software + AI?

What Tech Leaders Need to Know Before Jumping on the AI Bandwagon  For many organizations, legacy software systems are both mission-critical and increasingly difficult to manage. These systems often sit at the heart of business operations, yet struggle to keep pace with modern demands, integrate poorly with new tools, and are costly to maintain. Traditionally, updating or replacing these systems has been a slow, high-risk endeavor. But, with the rise of Artificial Intelligence (AI), tech leaders now have a powerful new option to support, modernize, and even revitalize legacy...

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