Bloomberg Technology 08/24/2023
“Bloomberg Technology” is our daily news program focused exclusively on technology, innovation and the future of business hosted by Caroline Hyde in New York and Ed Ludlow from San Francisco. ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with Caroline Hyde and Ed Ludlow here:…
CNET
I Tried “Smart” Basketball Tech, and Now I Can’t Stop Shooting | STAT
CNET Senior Video Producer, Owen Poole examines consumer-grade basketball technology that is comparable to what the pros use. Can a smart ball and a smart hoop actually help improve your jump shot, and what does widely available smart training mean for the future of basketball? You can find the products mentioned in this video linked…
Entertainment
Skipping The Gym To Exercise My Rights 💅
American Historian Lindsay Chervinsky joins WIRED to answer the internet’s burning questions about the history of US Elections. Can the President cancel or postpone an election? Why do midterms usually end up with the party of the current president losing? Why are US elections held on a Tuesday in November? Answers to these questions and…
Bloomberg Technology
Z.AI Founds Worked with Accused Chinese Spy Group
Four founders from one of China’s up-and-coming AI companies, Z.AI, worked on a study that was funded by a group accused of having ties to Chinese spies. Bloomberg’s Kate O’Keeffe explains the tech and national security concerns with Ed Ludlow on “Bloomberg Tech.” ——– Like this video? Subscribe to Bloomberg Tech on YouTube: Watch…
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Ava Yu
August 24, 2023 at 6:10 pm
Top notch reporting by stellar anchors. ???? Keeping me in the tech industry know everyday! ????????
Flush
August 24, 2023 at 7:53 pm
90% of companies don’t know what to do for AI specific use cases; and for the ones that do – aren’t able to build it today based on what they have in their toolkits.
Bottom line is the SaaS industry is over-saturated, and this is another trend where 3-5 key companies will be the backbone of the trend and everyone else just wants a ride along the way.
2000 to 2010 = SaaS, ERP, CRM, Enterprise data reporting
2010 to 2015 = Agile Visualization and BI, Big Data & NoSQL, Big 3 IaaS platforms
2015 to 2019 = Advanced Analytics (Machine Learning, containerization, Predictive analysis and planning; in-memory compute for real-time data streams and modelling), Full-Stack JS apps using MEAN and MERN, No-code & low-code.
2019 to 2022 = Automation and RPA, Chatbots, Microservices
2022 to Today = AI use cases exploration after ChatGPT trend
It’s just a train and companies are choosing their seats as it makes it’s way. End of the day, you’ll be sold something “new”; and it may not be needed to solve your problems – but it’s “cool”.