Artificial IntelliTools

The Harmful Side of "These Things Aren't for Me" It's never as complicated as we think, and why representation matters. Attending the IEEE/ACM CHASE 2025 conference on connected health peeled away a veil of naivety for me. As someone from Africa, I used to read about these people who publish papers and attend such conferences, thinking they were geniuses, next-level humans who knew things we didn't or operated on a level close to alien super-geniuses. But one thing attending this week's event showed me was that they are just people like you and me, doing the same things you did in class for your undergraduate, high school, or PhD. The only difference is they show up. Sitting in that room, I realized something, and I'm going to speak from a Black African perspective. I had never understood what they meant when they said representation matters, but I understand it more than ever now. The room was filled mainly with Asian people and a few whites. Now, we all ...

My first academic conference shattered a myth, and I finally understood why representation isn’t just a buzzword.  The Wake-Up Call I recently attended the IEEE/ACM CHASE 2025 conference on connected health. As someone from Africa, I used to imagine presenters at these events as superhuman geniuses – aliens operating on a level I could never reach. Their papers seemed like cryptic manuscripts; their presence felt untouchable. But after three days immersed in this world, my naivety was peeled away like old paint. The Revelation The room was filled with brilliant minds – 80% Asian, 20% White, and a scattering of others. Including me, there were nine Black attendees among 140 participants. As I listened to presentations, something struck me:  Their work was identical to what I’d done in my graduate classes.  The same formula: Pick a topic  (like we do for projects). Find a dataset  (hello, Kaggle!). Identify a problem  (standard research 101). Propose a soluti...

  How understanding stakeholder dynamics and implementing structured communication can save your next AI initiative Picture this: You’re halfway through an ambitious AI project. The tech looks promising, leadership is excited, and your team has worked tirelessly for months. Yet somehow, everything feels… wrong. Budgets are ballooning, deliverables are delayed, and your stakeholders are growing restless. Sound familiar? You’re not alone. From healthcare to financial services, from retail to public sector — AI projects are hitting the same walls. After analyzing dozens of real-world case studies, I’ve discovered a surprising truth: it’s rarely the AI that fails. It’s the humans. The Invisible Break Points While we obsess over algorithms and data quality, the real AI project killers lurk in plain sight. Like a perfectly engineered bridge collapsing because someone forgot to secure the foundation, sophisticated AI projects crumble due to fundamental oversights we’ve seen for decad...

By Emmanuel Olimi Kasigazi   April 25th, 2025 Transforming chaos into clarity: TD Bank’s journey from scattered data to structured strategy offers lessons for every modern organization Every business today is a data business — but not every business knows how to use its data wisely.” In a world where data is the new oil, what happens when a major institution discovers it’s swimming in it — but can’t refine it? That was the challenge TD Bank Group faced in 2015 when it launched one of the most ambitious enterprise data transformations in Canadian banking history. The story of how TD approached the chaos — with executive vision, regulatory urgency, and even design thinking — isn’t just a case study. It’s a playbook for modern organizations navigating the stormy seas of data governance, compliance, and innovation. This article breaks down what TD did right, where they stumbled, and what every organization (yes, even yours) can learn from their experience. The Backdrop: A Data Giant Wi...

When it comes to presidential primaries, much of the focus tends to be on what candidates say — but what about where they go, and when? Political campaigns have always been a choreographed dance, with candidates carefully plotting where and when to make appearances. But what happens when one contestant dominates the dance floor? The 2024 Republican primary featured former President Donald Trump as the overwhelming frontrunner, creating a unique dynamic where other candidates had to make strategic decisions: should they follow in Trump’s footsteps, or deliberately chart their own path? This article presents a data-driven analysis of how Republican presidential hopefuls positioned themselves relative to Trump throughout the primary campaign. Using a novel “shadow zone” approach, we examined 1,741 campaign events to reveal previously unseen patterns in campaign strategy and t answer a subtle but important question: Did GOP candidates follow Trump’s campaign trail to tap into his media buz...