What makes today's warehouse automation "intelligent"? And what are the key challenges around adopting it? Zaven Gabriel, product marketing manager with Locus Robotics, offers a perspective.

Facing challenges head-on requires time and budget, yet IT leaders are finding their wallets growing thin from rising licensing fees, vendor lock-ins, and bottlenecks on efficiency.

Whether you are navigating fluctuating order volumes, aiming to maximize efficiency, or seeking a solution that delivers rapid ROI, this session will provide key insights to help drive informed decision-making. 

David Carter, industrials senior analyst at RSM US, describes the major supply chain constraints that are bedeviling major U.S. data centers in their efforts to move ahead with innovations in artificial intelligence.

Following are five major challenges that supply chain and logistics organizations face when adopting AI-powered tools, along with some suggested solutions.

The unit makes products including industrial and collaborative robots used in the food and automotive industries as well as autonomous mobile robots that maneuver merchandise in logistics centers.

Aron Bohlig, managing partner with ComCap Holdings LLC, updates us on four topics in logistics tech investment: AI, visibility, autonomous warehouse vehicles, and the prospect for market consolidation.

According to research released by Greenpeace East Asia, global electricity consumption for AI chipmaking grew by 350% between 2023 and 2024.

Tariffs, trade wars, and supply chain disruptions have transformed global commerce into something akin to a high-stakes magic performance. 

Nvidia will look to manufacture its AI supercomputers in Texas, marking the first time the company will be fully producing the technology in the U.S.