Sovereign AI must be for every country
Kashif Manzoor
Enabling Customers for a Successful AI Adoption | AI Tech Evangelist | AI Solutions Architect
World Government Summit took place in Dubai this week between 12-14th February, the largest gathering from the public sector; one of the prominent speakers was NVIDIA founder and CEO Jensen Huang, and during his talk, he presented the concept that every country should be the custodian of its data and intelligence as it reflects the culture, history and country's own data.
I relate this discussion to the continuation of the concept of the sovereign cloud, and all the major cloud providers have started providing sovereign clouds for different countries.
Now, if you relate this conversation to what Oracle CTO Larry Ellison said during the opening keynote at Oracle CloudWorld 2022, we will have an "Internet of clouds" that we need to build clouds like the Internet, which are interconnected and have interoperability. Customers have all the service choices; irrespective of the vendors, they are connected.
This is how the world started moving towards every country having a sovereign cloud, sovereign data, and sovereign AI.
In my opinion, it is a significant shift from the early days of cloud computing, where the idea was that massive cloud regions would provide cloud resources to different organizations for their requirements. It is becoming more of a country-specific cloud region to fulfill the requirements of having sovereignty over the data.
At the side of this event, a fireside chat was organized by the CodersHQ between Jensen Huang, founder and CEO of Nvidia, and H.E Omar Al Olama, UAE Minister of State for Artificial Intelligence. I got an opportunity to attend this event and had a fantastic experience of Mr. Jensen Huang's presence. After the talk with the attendees, he spent considerable time interacting with the audience and allowing them to get pictures with him.
Weekly News & Updates...
This week's unveiling of new AI tools and products drives the technology revolution forward.
- Open AI's Sora, a text-to-video model, was released to a few groups, and videos showing marvelous results were shared.
- Memory with ChatGPT, now you can ask ChatGPT to remember something specific that you can refer back to
- Google released Gemini 1.5 with a new Mixture-of-Experts (MoE) architecture.
- Meta released the V-JEPA, a method for teaching machines to understand and model the physical world by watching videos.
The Cloud: the backbone of the AI revolution
- Guide to prompt engineering: Translating natural language to SQL with Llama 2
- Your RAGs powered by Google Search technology, part 1
- Code Llama 70B is now available in Amazon SageMaker JumpStart
Favorite Tip Of The Week:
Here's my favorite resource of the week.
- Solving a machine-learning mystery: A new study shows how large language models like GPT-3 can learn a new task from just a few examples without any new training data.
Potential of AI
- Aya from Cohere is a new open-source multilingual LLM. Aya outperforms existing open-source models and covers 101 different languages.
Things to Know
- Finally, Langchain has released LangSmith as a paid version for developing, collaborating, testing, deploying, and monitoring LLM applications
The Opportunity...
Podcast:
- This week's Open Tech Talks episode 126 is "Web3 Unveiled: Revolutionizing Digital Engagement with Viktoriia Miracle"
领英推è
Courses to attend:
- Neural Networks: Zero to Hero, a video course from Andrej Karpathy
Events:
- Nvidia GTC AI Conference and Expo, March 18–21, San Jose, CA and Virtual
- WebSummit, Qatar, Feb 26-29, 2024
- KubeCon + CloudNativeCon Europe March 19-22 | Paris, France
- GISEC, Global, 23-24 April, Dubai, UAE
Tech and Tools...
- Whisper is a speech recognition model based on a large dataset of diverse audio, and it can perform multilingual speech recognition, speech translation, and language identification.
Data Sets...
- Medical Information Mart for Intensive Care data set from MIT Laboratory for Computational Physiology
- CheXpert is a large dataset of chest X-rays from Stanford ML Group
Other Technology News
Want to stay on the cutting edge?
Here's what else is happening in Information Technology that you should know about:
- OpenAI’s ‘Sora’ Has Rivals In The Works—Including From Google And Meta
- Tech companies pledge to fight deceptive AI during 2024 elections
Earlier Edition of a newsletter
- GenAI at the Peak of the Hype Cycle
- Introduction to Generative AI for Newbies
- Generative AI Tech Stack Evolution
- Generative AI use cases Text Summarization
- Generative AI for the Retail industry
- How to validate your first Generative AI Use Case
- 5 approaches for Deploying Generative AI
- Large Language Models
- The rise of Generative AI
- 100+ Generative AI Use Cases Across Industries
- Large Language Models (LLMs) Use Cases for the Property Real Estate Industry
That's it!
As always, thanks for reading.
Hit reply and let me know what you found most helpful this week - I'd love to hear from you!
Until next week,
Kashif Manzoor
The opinions expressed here are solely my conjecture based on experience, practice, and observation. They do not represent the thoughts, intentions, plans, or strategies of my current or previous employers or their clients/customers. The objective of this newsletter is to share and learn with the community.
“The real question is, when will we draft an artificial intelligence bill of rights? What will that consist of? And who will get to decide that?†– Gray Scott, futurist and technology philosopher https://medium.com/design-bootcamp/sovereign-ai-balancing-innovation-with-control-in-the-age-of-digital-independence-01a71408a58b
Commercial Project Manager at Abu Dhabi Health Services Co. SEHA
1 å¹´Interesting! I like the article it provides a different perspective and insight into how AI may evolve
20+ yrs in Tech & Finance & Quant | ex-Microsoft/Oracle/CERN | IT / Cloud Architecture Leader | AI/ML Data Scientist | SaaS & Fintech
1 å¹´Kashif Manzoor while I completely agree with you on sovereign data in each country with national-cloud-infra, you haven't justified why sovereign AI should be there? The extrapolation is not explanatory. I gess you're talking about GenAI trained on country's data, as most other ML models can be applied without any boundaries. So some questions arise: does each country has enough data to build generative AI model? For what? In general less data can result in models with diminished capabilities, particularly when compared to those trained on more extensive, worldwide datasets. See e.g. healthcare, why to train French Health AI model on french-only dataset, while WW we have more cases. Statistics is on big-dataset side. So specialized models, trained on industry-specific or niche data that is highly relevant to a country's unique needs and challenges, can offer substantial benefits. But how many of them exist / or are conceptually valid? Mostly country's data is biased. And as Yann LeCun said the bias in model outputs comes from bias in data. So we may be years ahead, with immediate need of got the national data first, where your first statement with sovereign data / sovereign cloud is mandatory and awesome #1 step, to make that.