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Every day, your frontline workers navigate a complex world of tasks. They operate vehicles on highways, forklifts in warehouses, and equipment on airport tarmacs. In all these environments, a common, persistent risk exists right in the palm of their hands.
April 2026 marks 10 years of Zebra’s award-winning PartnerConnect programme. The anniversary comes at a pivotal moment for the channel, not least with AI turning more frontline tasks into intelligent operations performed and overseen by an increasingly informed and connected frontline workforce.
When we work together with our partners, colleagues, and technology experts, we feel a powerful sense of community and shared purpose.
Imagine a customer walking into your store, smartphone in hand. An item they desperately want sits out of stock on the shelf. Within seconds, they locate that exact product on a competitor’s app, and with a few taps, the sale vanishes completely.
The air at a FIRST® Robotics competition crackles with a unique energy. You feel a powerful mix of excitement, intense focus, and pure ingenuity.
The energy at our recent Channel Partner Summit in Orlando felt palpable. Everywhere you turned, conversations buzzed with the potential of AI.
I recently had the pleasure of joining a fascinating discussion with Deborah Weinswig of Coresight Research and my colleague, Chip Yager from Zebra Technologies. We explored the evolving landscape of self-service technology in retail.
Increasingly, healthcare workers are facing the threat of workplace violence. In fact, studies have shown that healthcare workers are five times more likely to be assaulted than any other profession.
In a dynamic business environment, stability, reliability, and a clear path forward are not just beneficial – they are essential for success. As you navigate your technology investments, we want to reaffirm Zebra's unwavering commitment to being the partner you can trust, both now and in the future.
A striking paradox is unfolding in boardrooms worldwide. Companies are investing heavily in AI, yet a recent Hoover Institution study found over 80% of them report no meaningful productivity impact.
