YouTube video link: https://www.youtube.com/watch?v=qJshjEGfTKE
nflnewsbyzennie62.com Presents:Cloud AI Projects Are Failing—Here’s What No One’s Telling You
. A vlog by the YouTube channel named in the video’s upper left corner and serves as the original blog post for this content.Ninety-five percent of enterprise generative AI projects fail, a staggering figure revealed by an MIT study. This failure isn’t rooted in insufficient infrastructure, as some vendors claim, but rather in human expertise and preparation. Many enterprises lack the talent required to build, train, and refine foundational AI models. Instead of trying to reinvent the wheel, companies would achieve greater success by leveraging mature, licensed AI models developed at scale by industry-leading providers.The issue of preparation is also critical. Running large-scale AI successfully today would have required enterprises to start planning up to seven years ago, with investments in power, cooling, networking, and infrastructure. Most organizations didn’t take those steps, leaving them unprepared for AI at scale. The solution, however, lies in the cloud. Cloud platforms allow enterprises to bypass infrastructure latency and start AI projects immediately using the data they already have. Public cloud providers like AWS, Azure, and GCP enable companies to connect, unify, and reason across on-premises and cloud-based data without years of preparation or costly upgrades.The future of AI belongs to organizations that act quickly, leveraging available tools and their existing data to drive competitive advantage. Success isn’t a distant goal; it’s achievable now with cloud-enabled innovation.BioWith over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He has authored over 17 best-selling books, over 7,000 articles, and 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on topics related to digital transformation, cloud architecture, AI, and cloud security.Reference(s) for this video:https://ift.tt/NdpRFTIWhere you can find me:Check out my other AI focused YouTube Channel “Dave Is Not AI”: https://www.youtube.com/@DavidIsNotAIMy Gen AI Architecture Course on GoCloudCareers: https://ift.tt/sH4JNb3 My InfoWorld Blog: https://ift.tt/VQUMGkI Follow me on LinkedIn: https://ift.tt/zViOkb5 Follow me in X/Twitter: https://twitter.com/davidlinthicum Become a Cloud Computing Insider channel member, and access my videos weeks ahead of general release: https://www.youtube.com/channel/UCW9CXYyHdzI0w8icz4gHi3g/joinMy LinkedIn learning courses: https://ift.tt/CbedXrW My latest book: https://ift.tt/TmNZveXVideo sponsorship opportunities: Email me at david@linthicumresearch.comJoin as a channel member, and get videos weeks before they go out to the public: https://www.youtube.com/channel/UCW9CXYyHdzI0w8icz4gHi3g/joinTim’s information: Founder and CIO Strategic Advisor at AVOA. I can be contacted via the website @ AVOA.com.
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Note from Zennie62Media and ZennieReport.com : this video-blog post demonstrates the full and live operation of the latest updated version of an experimental Zennie62Media , Inc. mobile media video-blogging system network that was launched June 2018. This is a major part of Zennie62Media , Inc.’s new and innovative approach to the production of news media. What we call “The Third Wave of Media”.
The uploaded video is from the Zennie62 YouTube channel. It is automatically uploaded to and formatted automatically at the nflnewsbyzennie62.com site and Zennie62-created and owned social media pages. The overall objective here, on top of our is smartphone-enabled, real-time, on the scene reporting of news, interviews, observations, and happenings anywhere in the World and within seconds and not hours – is the use of the existing YouTube social graph on any subject in the World.
Now, news is reported with a smartphone and also by promoting current content on YouTube: no heavy and expensive cameras or even a laptop are necessary, or having a camera crew to shoot what is already on YouTube. The secondary objective is faster, and very inexpensive media content news production and distribution.
We have found there is a disconnect between post length and time to product and revenue generated. With this approach, the problem is far less, though by no means solved.
Zennie62Media is constantly working to improve the system network coding and seeks interested content and media technology partners.