Zebra Technologies Launches New Sustainability Partner Recognition Program Globally
New initiative will support greener outcomes for customers through digitization and automation, from reducing food waste to lowering vehicle emissions.
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New Zebra Study: Data Reveals Top Automation Motives, Labour Challenges in Warehousing
Workforce technology and automation investments need to be communicated as part of improved labour hiring efforts.
Zebra Technologies Unveils Reimagined Software Portfolio at ZONE Customer Conferences
Zebra Workcloud helps customers lower costs, improve efficiencies and mitigate risk.
Zebra Technologies Demonstrates Generative AI on Devices Powered by Qualcomm
GenAI on Zebra devices can offer new levels of privacy, security, capability and cost savings for businesses.
Zebra Study: Nearly Six in 10 Warehouse Leaders Plan to Deploy RFID by 2028
94% of European decision-makers (91% globally) expect to use technology to increase supply chain visibility over next five years.
Zebra Technologies Developer Conference to Showcase Advances in AI, Mobility and UX
DevCon will equip and connect developers to build the future of work.
From Machine Vision to Sensors, Technology is Helping Keep People and Food Safe
World Food Safety Day's "Food Standards Save Lives" focus is a reminder of the challenges faced and how to meet them.
Beyond Machine Learning: Advantages of Ensemble Models for Interpretable Time Series Forecasting
Time series forecasting continues to be a critical task in many industries, including retail, finance, healthcare, and manufacturing. Traditional forecasting methods have been successful, but advancements in machine learning (ML) have sparked interest in using ML algorithms for time series forecasting. However, the complexity of exogenous events such as a pandemic and inclement weather, can make time series forecasting challenging.