Artificial intelligence is not only integral to manufacturing, distribution, mining, and forging, but it will also power productivity and enhanced customer value across every company in the future. Thus, it is an imperative to pay attention to current uses of AI and to think strategically about AI applications to drive productivity, profitability and performance.
As companies experience slowing backlogs, high interest rates, and inflationary spikes in costs over the last few years, revving up sales and keeping margins intact has become of paramount importance.
Israel and Iran had an escalating 12-day war with the U.S. getting involved by bombing Iran's main nuclear facility. Although a cease fire has been negotiated, tensions remain high in the Middle East.
We have noticed that clients that think long-term are far more successful than those that respond to events as they occur. Companies that think long-term surpass the rest as they are ready for changing conditions and leverage opportunities for success.
Lisa Anderson shares expert views on AI in supply chain planning, forecasting, SIOP, and real-time inventory visibility in a new publication from Intelligent Enterprise Leaders Alliance: 'AI & Analytics in Supply Chain'.
Manufacturing in the U.S. is gaining momentum, and businesses that aren’t prepared will struggle to keep up. According to Lisa Anderson, MBA, CSCP, CLTD, President of LMA Consulting Group, Inc., the resurgence will be fast and powerful, with companies that are ready to scale reaping the greatest benefits.
Every CFO seems to wonder why they spend millions on ERP upgrades yet critical decisions seem to boil down to spreadsheets.
As business executives contend with heightened supply chain risks and inflationary pressures, artificial intelligence (AI) has emerged as a hot technology that can help to improve business performance.
According to the WorldMetrics.org report, 89% of manufacturers believe automation is key to increasing productivity. More importantly to increasing profitable growth, the report also finds that automation reduces manufacturing lead time by 75%.
Companies are overwhelmed with data. There is ERP related data, global supply chain data, world economic data, industry and market data, customer and supplier data, email communications, and the list goes on.
