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:…
People & Blogs
Let this be your last Short for the day #TEDTalk
Do you sometimes have your most creative ideas while folding laundry, washing dishes or doing nothing in particular? It’s because when your body goes on autopilot, your brain gets busy forming new neural connections that connect ideas and solve problems. Learn to love being bored as Manoush Zomorodi explains the connection between spacing out and…
Bloomberg Technology
Intel’s Big Raise, Apple’s iPhone Roadmap | Bloomberg Tech 8/11/2026
Bloomberg’s Ed Ludlow breaks down Intel’s upsized $20 billion share sale, raising a third more than it was targeting when it announced the deal on Monday. Plus, sources tell Bloomberg that Apple’s glass-centric iPhone overhaul is still on track for 2027, even after an analyst’s report said it had been cancelled. And, drone startup Neros…
Bloomberg Technology
RUM Group’s $3 Billion AI Opportunity
RUM Group posted record quarterly revenue as its push into AI infrastructure begins to show up in results following its acquisition of Northern Data. CEO Chris Pavlovski joins Bloomberg to discuss the company’s Quake AI business, its push to monetize more than 250 megawatts of power capacity and what he calls a $3 billion annual…
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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”.