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:…
Entertainment
Who Wins? Kai Cenat vs. iShowSpeed
Kai Cenat visits WIRED to answer his most searched questions on Google. Who are Kai Cenat’s favorite streamers? Why did Kai Cenat stop streaming? Will Kai Cenat be in GTA 6? Answers to these questions and many more await on Kai Cenat’s WIRED Autocomplete Interview. #KaiCenat #AMP #WIRED Still haven’t subscribed to WIRED on YouTube?…
People & Blogs
Moving more frequently can help your body and mind — but is it too tricky to put into practice? #TED
Who Wins? Kai Cenat vs. iShowSpeed
Moving more frequently can help your body and mind — but is it too tricky to put into practice? #TED
We’re putting this TED Talk to the test — you in? #TEDTalks
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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”.