The Biden administration’s response has made key mistakes in handling the emerging threat. We hope this situation serves as a wake-up call to rethink and re-tool emergency response policies and practices.
In the middle of the ongoing coronavirus pandemic, we're facing a second global, viral crisis: monkeypox.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” So what can we do to make models more useful? Artificial intelligence and machine learning (AI/ML) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves. For supply chains to get more use from their models, we need to “trust the box;” recognize that models are not the holy grail; and remember that a forecast is an input into making better decisions, not an end in and of itself.
It seems like we’re waiting now more than ever. The COVID-19 pandemic, which we were initially told would take just a few weeks to get under control, is now in its third year. Getting back to life as we knew it was more challenging than expected. Supply chain issues have extended lead times and severely disrupted operations across vital industries, including retail, travel, and healthcare.
In late July, South Korean electronics giant Samsung revealed plans to construct 11 new semiconductor manufacturing plants in Texas. This development is good news for America on a number of levels and represents a nearly $200 billion investment in U.S.-based chip manufacturing.
Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565
An audio journey of how data and analytics save lives, save money and solve problems.
It’s college graduation season, which means over 4 million seniors will graduate in the next few weeks, flooding the job market with new candidates. One area that has shown high potential for the right candidates is artificial intelligence and machine learning. Both disciplines are part of the larger data and analytics career path.
House Republicans proposed a 10-year pause on state rules for artificial intelligence. What that could mean for consumer protections.
Robert F. Kennedy Jr., as the new secretary of Health and Human Services, is the nation’s de facto healthcare czar. He will have influence over numerous highly visible agencies, including the Centers for Disease Control and Prevention, the National Institutes of Health and the Food and Drug Administration, among others. Given that healthcare is something that touches everyone’s life, his footprint of influence will be expansive.
Health insurance has become necessary, with large and unpredictable health care costs always looming before each of us. Unfortunately, the majority of people have experienced problems when using their health insurance to pay for their medical care. Health insurance serves as the buffer between patients and the medical care system, using population pooling to mitigate the risk exposure on any one individual.
The recent US-China agreement to temporarily reduce tariffs is a major step for global trade, with tariffs on US goods entering China dropping from 125% to 10% and on Chinese goods entering the US decreasing from 145% to 30% starting May 14. While this has boosted markets and created optimism, key industries like autos and steel remain affected, leaving businesses waiting for clearer long-term trade policies.
With sweeping new tariffs on Chinese-made products set to take effect this summer, Americans are being urged to prepare for price hikes on everyday goods. President Donald Trump's reinstated trade policies are expected to affect a wide swath of consumer imports, including electronics, furniture, appliances, and baby gear. Retail experts are advising shoppers to act before the tariffs hit and prices rise.
Twenty years ago, few people would have been able to imagine the energy landscape of today. In 2005, US oil production, after a long decline, had fallen to its lowest levels in decades, and few experts thought that would change.
In the case of upgrading electrical and broadband infrastructure, new analysis from the University of Massachusetts Amherst reveals {that a} “dig once” strategy is almost 40% more economical than changing them individually.