Goldman-Sachs predicts that AI will drive a 160% increase in data center power demand by 2030, and require an estimated $720 billion in upgrades to global power grids to account for that growth.

Many manufacturers miss key components when digitizing their planning and scheduling processes. 

Companies will need to implement powerful governance frameworks, invest in training, and ensure transparency in AI-driven processes.

As supply chains continue to grow ever more complex, advanced planning and scheduling systems have evolved to enable their optimization, says Ashok Erramilli, general manager of Eyelit Technologies.

With agentic artificial intelligence, organizations can align every function of their supply chains to act quickly, think strategically and collaborate effectively.

Formalized supply chain planning isn't just for the enterprise market, says Lori Gipp, vice president of product management with TransImpact. The technology is both affordable and effective for mid-market supply chains.

How can supply chain leaders supercharge forecasting with the help of AI? Vinayak Ramesh, chief customer officer with Ikigai Labs, describes the current state of the technology.

Demand-sensing is important, and is much improved by AI. But pricing and inventory modeling are important too.

Volatility, latency and inefficiency are the same problems bedeviling supply chains that they always have been, but they are exacerbated today, says Puneet Saxena, corporate vice president, industry strategies, at Blue Yonder.

A discussion about innovation in product development and the supply chain, with Joe Bitterman, VP supply chain planning with Johnson & Johnson Innovative Medicine, and Philip Vervloesem, chief commercial officer with OMP.