https://www.youtube.com/watch?v=qJshjEGfTKE
Oakland (ZennieReport.com –
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.
Bio
With 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/t275FY8
Where you can find me:
Check out my other AI focused YouTube Channel “Dave Is Not AI”: https://www.youtube.com/@DavidIsNotAI
My Gen AI Architecture Course on GoCloudCareers:
https://ift.tt/0tlSMgZ
My InfoWorld Blog: https://ift.tt/EwUje9u
Follow me on LinkedIn: https://ift.tt/BoLDuNK
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/join
My LinkedIn learning courses: https://ift.tt/hroNTbS
My latest book: https://ift.tt/cdDwGYT
Video sponsorship opportunities: Email me at david@linthicumresearch.com
Join as a channel member, and get videos weeks before they go out to the public: https://www.youtube.com/channel/UCW9CXYyHdzI0w8icz4gHi3g/join
Tim’s information:
Founder and CIO Strategic Advisor at AVOA. I can be contacted via the website @ AVOA.com.
via IFTTT
Note from ZennieReport.com, Zennie62 YouTube, and ZennieReport.com: this ZennieReport 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. This is what we call “The Third Wave of Media”.
The uploaded video is from a vlogger with the Zennie62 on YouTube Partner Channel, then uploaded to and formatted automatically at the ZennieReport.com Blog site and Zennie62Media -created and owned social media pages. The overall objective 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. Now, news is reported with a smartphone: no heavy and expensive cameras or even a laptop are necessary, thus less chance for ZennieReport.com, Zennie62 YouTube vloggers to be robbed.
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, 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.
