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As part of this transition, the company is aiming for a net-zero carbon footprint by 2050. Engagement with leadership and upskilling for personnel help develop the conditions for AI innovation and experimentation to take place, she says. Along the way, the company decides whether to build or buy a solution for each use case.
Reining in the rugged and remote Through rapid cycles of discovery and experimentation, Mathur and De Bernardi’s cross-functional team devised a solution that leaned heavily on additive manufacturing, more commonly known as “3D printing.” These early wins are reason for optimism.
Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. Manufacturing and supply chain management AGI might revolutionize manufacturing by optimizing every step of the process.
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