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Bloomberg Originals offers bold takes for curious minds on today’s biggest topics. Hosted by experts covering stories you haven’t seen and viewpoints you haven’t heard, you’ll discover cinematic, data-led shows that investigate the intersection of business and culture. Exploring every angle of climate change, technology, finance, sports and beyond, Bloomberg Originals, is business as you’ve never seen it.
Bloomberg Businessweek
Rerun Air Date: December 13, 2024Carol Massar and Tim Stenovec bring together the latest news from the worlds of business and finance and the interesting stories of global technology, politics, economics and more.
Bloomberg Investigates
S3 "Scambaiters"An estimated $1 trillion lost globally to fraud; with law enforcement struggling to cope, scambaiter vigilantes are filling the gaps.
Bloomberg Investigates
S3 "Monkey Laundering"Fake permits, undercover informants and millions of dollars are involved; a US government agency works to prove suppliers to research labs import wild monkeys from Cambodia with false paperwork.
Momentum
"The Nation Where Robots and Humans Get Along"Joining Haslinda Amin as she explores the way robots and AI are integrated into Japanese life; from drones managing crops to unmanned harvesters, how AI is paving the way to a more efficient future.
Momentum
"Can Global Shipping Go Green?"South Korea is emerging as a pivotal force in reshaping maritime transportation, leading the way to a future with autonomous ships and more eco-friendly propulsion systems.
Momentum
"Does the Perfect City Exist?"Haslinda Amin explores Singapore, which has transformed itself from a colonial outpost into a metropolis boasting unparalleled infrastructure, seamless transportation and accessible housing.
Posthuman
"Robots -- The Aliens We Made"Emily Chang meets some of the world's most advanced, and most intelligent robots and questions whether the creation of a synthetic species with human-like intelligence improves the human experience or ends it.
Posthuman
"Love in the Age of Machines"Emily Chang explores the future of connections with the machines and the technologies powering a growing market of relationships-on-demand.