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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.
The energy at our recent Channel Partner Summit in Orlando felt palpable. Everywhere you turned, conversations buzzed with the potential of AI.
I recently returned from Orlando where the energy at our Channel Partner Summit was undeniable. Spending time with our partners is always a highlight for me, but this year felt different.
Healthcare professionals today navigate immense pressure. Disconnected systems and administrative burdens often pull their focus from the critical work of patient care.
If you attended the National Retail Federation (NRF) Big Show this year, you might have seen a few eye-catching cars navigating the busy streets of New York, wrapped in the iconic Zebra stripes and featuring our name alongside our latest acquisition, Elo.
Today is an important day for Zebra as the company unveils its brand refresh. While our logo hasn’t changed, our new brand platform, “Better Every Day” represents a strategic evolution and tighter alignment with modern technology trends which recognize the impact that automation and AI are having on frontline workflows.
As a communications strategist, I live for a great story. I recently had the distinct pleasure of hearing five incredible ones during a special CRN Women of the Channel podcast.
If you’ve ever managed a team on the frontline, whether in a warehouse, a hospital, or a retail store, you know how challenging the work can be.
As the backbone of retail, healthcare, manufacturing, and transportation and logistics (T&L) businesses, frontline workers drive results. Yet, according to Korn Ferry, a new study reveals that more than three-quarters (77%) of these workers believe senior leaders fail to understand their daily challenges.
The challenges facing AI today, such as data scarcity and quality concerns, might seem daunting, but they also present an opportunity. By turning to the wealth of data generated on the frontline, businesses can create more intelligent, efficient, and adaptive systems.
