BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).
You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.
Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.
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Three years after the pandemic brought Hollywood to a standstill, the film and TV industry has again ground to a halt
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning. Enjoy!
Supply chain interruptions and slowdowns linger as an effect of the pandemic. They make purchasing and acquisition difficult for both the private sector and government. Recently thinkers from IBM Center for the Business of Government, National Academy of Public Administration, and the Chamber of Commerce put their heads together to come up with ways governments can become more resilient on the supply chain front. Federal Drive with Tom Temin discussed all of this with Dan Chenok from the IBM Center and with Robert Handfield from North Carolina State University.
Disaster federalism, the intricate interplay between state, local, and federal governments in times of crisis, has long been hailed as the cornerstone of effective disaster response. Yet, three years after the catastrophic COVID-19 pandemic tested our nation’s resilience, we find ourselves grappling with a disheartening truth—there is still no clear path to improve this critical framework. In our new work we embark on a journey to unravel the enigma of disaster federalism and start a dialogue that challenges the status quo.
New research from the University of Florida highlights how retailers can increase sales by 3% if they show customers products from previous browsing sessions.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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