Bloomberg Technology
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:…
Bloomberg Technology
AI Chip Startup Etched Aims to Take On Nvidia
AI chip startup Etched raised $120 million to expand manufacturing of its specialized chip that it boasts will rival Nvidia’s products. Etched CEO Gavin Uberti joins Ed Ludlow on “Bloomberg Technology.” ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with Caroline Hyde and Ed…
Bloomberg Technology
Will #ai end poverty or create more problems? #technology #shorts
Sam Altman sees a future where AI and universal basic income can end poverty. But in the background, his sister struggles with homelessness. In this episode of Foundering, we look at his proposal for a new social contract. Listen now: Like this video? Subscribe: … Get unlimited access to Bloomberg.com for $1.99/month for the first…
Bloomberg Technology
Nvidia’s Slide and Apple’s EU Fines | Bloomberg Technology
Bloomberg’s Ed Ludlow breaks down Nvidia sliding for a third consecutive day and wiping out $400 billion off its market cap. Plus, Apple faces billions of euros in fines over its App Store rules under the EU’s Digital Markets Act, and car sellers warn of a possible material hit from the CDK cyberattack. 08:09 Wealth…
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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”.