Media Coverage

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.

Mark Zuckerberg fired his largest salvo in his war with rival Elon Musk on Wednesday with the launch of his Twitter fighter, Threads. The app quickly garnered millions of users as well as Musk’s wrath. The billionaire Twitter owner threatened legal action against Meta (META) for allegedly hiring former Twitter employees to work on the app.