#servicing-transition

#servicing-transition

"For too long, our industry has treated moving customers like brand new ones. EasyMove flips that model. Our customers shouldn't lose their history, their pricing or their trust just because they're changing addresses."

I got a degree from Douglas College in programming and business management. I understood the business side more and was better at that than at being a coder.

In the high-stakes world of regulated AI, your model is only as good as the person who built it. We are betting on a human-first approach to technology.

Most businesses, which includes modern ones, invest heavily in technology, but they rarely plan for its eventual and inevitable exit strategy. Generally speaking, companies spend millions on the latest hardware while overlooking the critical phase when those assets reach their end. This lack of planning creates a massive gap in the operational lifecycle of many otherwise successful global organizations. Decisions made at the end of a device's life carry real business risks that can impact the bottom line financially and environmentally speaking.

The technology underpinning retail operations is under scrutiny in 2026 as fashion executives look to streamline systems with the aim to unlock efficiency, cut costs and meet consumer expectations for speed and personalisation in the shopping journey. At the retail event Lightspeed Edge on 12 January, Lightspeed - the unified point-of-sale (POS) and payments platform for SMEs such as Apricot Lane Boutique and Neal's Yard Remedies - convened industry leaders to explore the strategic imperative for integrated technology ecosystems over siloed systems.

In September, the consulting firm Accenture made headlines when it acknowledged it had "exited" 11,000 employees who couldn't be retrained to adapt to AI. On a recent earnings call, CEO Julie Sweet explained the decision bluntly, saying that "the workforce needs new skills to use AI, and new talent strategies and related competencies must be developed." It's a tough-but-true reality that thanks to AI, tomorrow's jobs will look radically different than they do today.

A modern needs analysis is the strategic pulse of talent transformation. At its core, a needs analysis is a structured, evidence-based approach to identifying capability gaps and determining the most effective way to close them. A needs analysis tells you what to build, who to build it for, why it matters to your business, and how learning should show up in the flow of work. Without a needs analysis, even the most sophisticated eLearning solutions risk becoming just expensive content libraries with limited impact.