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
OpenClaw’s Peter Steinberger envisions a world where anyone — and everyone — can create AI agents
OpenClaw creator Peter Steinberger takes us back to the transformative moment he let his AI agent loose on the internet, igniting one of the world’s fastest-growing open-source projects. He makes a fascinating (and slightly unnerving) case that agents are a real shift, not just better versions of chatbots, and explores how they might reshape your…
Bloomberg Technology
OpenAI Linked Stocks Fall on Report It Missed Targets | Bloomberg Tech 4/28/2026
Bloomberg’s Caroline Hyde and Ed Ludlow discuss the fall in stocks linked to OpenAI after a report from the Wall Street Journal said the company failed to meet its own sales and user targets. Plus, a jury has been selected for the trial between OpenAI and Elon Musk over whether the company abandoned its founding…
CNET
Side by Side: 2015 Steam Controller vs. 2026 Steam Controller
It’s been over 10 years since Valve last came out with a Steam Controller. Here’s how the 2015 Steam Controller and the new 2026 Steam Controller look side by side 🎮 #steam #steamcontroller #valve #gaming #wirelesscontroller
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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”.