Generative AI Maturity Model Self-Assessment

Your Weekly AI Briefing for Leaders

Welcome to your weekly AI Tech Circle briefing - highlighting what matters in Generative AI for business!

I'm building and implementing AI solutions, and sharing everything I learn along the way...

Check out the updates from this week! Please take a moment to share them with a friend or colleague who might benefit from these valuable insights!

Feeling overwhelmed by the constant stream of AI news? I've got you covered! I filter it all so you can focus on what's important.

Today at a Glance: 

• Generative AI Maturity Model Self-Assessment Tool
• Generative AI Use Case
• AI Weekly news and updates covering newly released LLMs
• Courses and events to attend

Executive Brief

Stargate UAE: A Strategic Leap in Global AI Infrastructure

The United Arab Emirates has announced the Stargate UAE project, an initiative to construct a 1 gigawatt AI data center in Abu Dhabi. This facility, part of a broader 5 gigawatt AI campus, is set to become one of the world’s most powerful AI hubs, with an initial 200 megawatts expected to be operational by 2026.

• Global Collaboration: The project is a joint effort involving OpenAI, G42 (a UAE-based AI firm), Oracle, NVIDIA, Cisco, and SoftBank Group.
• Strategic Location: Situated in Abu Dhabi, the data center will provide AI services within a 2,000-mile radius, reaching up to half the world’s population
• Technological Advancement: The facility will leverage NVIDIA’s advanced Grace Blackwell GB300 AI systems, enhancing the UAE’s capabilities in AI research and application

Why It Matters: It’s about local readiness. By building one of the world’s largest AI Infrastructure hubs, the UAE is leading the charge that Generative AI adoption is not optional; it’s becoming foundational across both government and private sectors.

This project will become a foundation for accelerating AI in critical industries like healthcare, oil, and gas. This is the signal to act: building internal Gen AI capabilities now isn’t only a competitive edge; it’s a must to stay relevant in a rapidly transforming ecosystem.

Lead your Organization's Generative AI Adoption

The last four weeks' articles on the Generative AI adoption Maturity framework are progressing well. Thank you for sharing your comments and feedback. 

This journey aims to develop a Gen AI Maturity Model or framework with the support and effort of colleagues, friends, and leadership teams from several organizations.

Earlier work:

1. Where Are You on the Generative AI Maturity Curve?
2. Generative AI Maturity Framework for Structured Guidance
3. Why Maturity matters and levels of Gen AI Maturity model
4. Mapping Your Generative AI Maturity From Aware to Transformative Part 1
5. Evaluating Your Generative AI Maturity From Aware to Transformative Part 2

Let's continue the journey this week; We have covered six levels of Generative AI maturity. You can use the matrix as your dashboard and revisit scores quarterly, attach key performance indicators (KPIs), and observe the color shift as capabilities strengthen across your organization.

Self-Assessment Tool

Now you need to take a fast, honest maturity check, and you can do this yourself. Refer to the slide below. You can also download the Excel file to conduct your organization's Gen AI Maturity.

Gen_AI_Maturity_Self_Assessment.xlsx

Next week, we will continue building the AI Maturity model and improve the Maturity Self-Assessment format.

Weekly News & Updates...

Top Story of the Week:

Anthropic has launched its latest AI models, Claude Opus 4 and Claude Sonnet 4, marking a significant advancement in AI capabilities. Claude Opus 4, in particular, excels in coding and complex reasoning tasks, outperforming previous models with a 72.5% score on the SWE-bench benchmark. It can autonomously handle long-duration tasks, maintaining performance over extended periods.

My Take: This release signifies a significant AI development, showcasing the potential for AI to handle complex, long-running tasks with minimal human intervention. For businesses and developers, this opens new avenues for automation and efficiency. However, it also reminds us of the importance of addressing ethical considerations and ensuring robust safety measures as AI systems become more autonomous.

OpenAI has announced the acquisition of io, an AI hardware startup founded by renowned designer Jony Ive, in a deal valued at approximately $6.5 billion. This move aims to develop a new AI-integrated device class that transcends traditional screens and interfaces. Ive’s design firm, LoveFrom, will lead the design and creative direction for OpenAI’s hardware initiatives. In contrast, io’s team of approximately 55 hardware and software experts will join OpenAI to bring these innovative products to market.

Why it matters: This acquisition signifies OpenAI’s expansion into consumer hardware, aiming to create AI-native devices that offer more intuitive and seamless user experiences. This also shows how important it is that AI works along with the hardware/Infrastructure to redefine how users interact with technology, moving beyond conventional devices like smartphones and laptops.

The Cloud: the backbone of the AI revolution

• Accelerate AI Model Performance with Weka Converged Storage and OCI GPU Compute link
• Run LLMs on AnythingLLM Faster With NVIDIA RTX AI PCs link

Use Case Spotlight

Generative AI Use Case of the Week:

Several Generative AI use cases are documented, and you can access the library of generative AI Use cases. Link

Generative AI for Digital Historical Reconstructions

Use Case Description: Generative AI rebuilds damaged or lost heritage sites in accurate digital form. It combines photographs, lidar scans, drone footage, and archival plans to create high-fidelity 3-D models that museums, scholars, and visitors explore in virtual or mixed reality. Neural Radiance Fields now reach millimetre accuracy for historic buildings. CyArk, Oxford’s Institute for Digital Archaeology, and UNESCO pilots show the method in active use for Palmyra and other at-risk sites.

Business Challenges: 

• Physical restoration is slow and costly, and can damage fragile remains
• War, climate events, and urban pressure threaten many sites before they are documented
• Archival records are scattered across institutions and formats
• Visitor access is limited by geography and conservation rules
• Funding for preservation competes with other public needs

Expected Impact / Business Outcome: 

• Revenue: New ticketed virtual tours and licensing of 3-D assets generate income for site authorities and partner museums
• User Experience: Global audiences view sites in high detail from any device and in multiple periods, which deepens engagement
• Operations: Digital inspection lets conservators plan repairs without onsite travel and monitors erosion over time
• Process: Standard AI workflows cut modeling time from months to days and keep source data traceable for reviewers
• Cost: Lower field survey expense and reduced need for repeated manual modeling, free funds for other conservation tasks

Required Data Sources:

• High-resolution photographs, including crowdsourced images
• Lidar or photogrammetry point clouds
• Historic maps, plans, and excavation drawings
• Weathering and material studies for surface realism
• Curatorial metadata that links models to catalog records

Strategic Fit and Impact: The project supports heritage mandates to document and protect culture for future generations. Digital twins supply research material, assist education, and create inclusive access for people unable to travel. They align with UNESCO Digital Heritage and national smart-tourism strategies while helping governments meet sustainability goals by reducing physical footprint at fragile sites and advancing the institution to an “Integrated” level on the AI Maturity Framework.

Favorite Tip Of The Week:

Building Enterprise AI Agents, an e-book from Cohere. Explore how agent-based AI systems can drive real change in your organization. This guide walks through:

• Key hurdles in deploying scalable AI agents across enterprise environments
• Opportunities and risks of using AI agents in regulated sectors
• Practical ways to explain the business value of agentic AI to stakeholders

Potential of AI:

Microsoft introduced Aurora, a large-scale AI foundation model designed to predict various environmental phenomena. Trained on over one million hours of diverse atmospheric data, Aurora excels in forecasting weather patterns, air quality, ocean waves, and tropical cyclones. Notably, it delivers 10-day global weather forecasts in under a minute, outperforming traditional models in speed and accuracy.

Why it matters

Aurora represents a significant advancement in environmental forecasting, offering faster and more precise predictions at a fraction of the computational cost of traditional methods. Its ability to accurately forecast extreme weather events and air quality has profound implications for disaster preparedness, public health, and climate research. Aurora’s code and model weights are publicly available.

Things to Know...

At Google I/O 2025, Google introduced several AI tools aimed at enhancing developer productivity:

• Gemini 2.5 Flash Preview: An updated version of Google’s AI model, optimized for speed and efficiency, with improved coding and reasoning capabilities. 
• Gemma 3n: A lightweight, multimodal model that runs on various devices, supporting audio, text, image, and video inputs. 
• Gemini Diffusion: A new text model capable of generating outputs at five times the speed of previous models, suitable for rapid content creation. 
• Lyria RealTime: An experimental music generation model allowing interactive creation and real-time music performance. 

AI in Business Tip

Use Agents, Keep Humans in the Loop

AI agents can execute multi-step tasks, but as we are early into Agentic AI, you need to benefit from human oversight. 

The best approach? 

Set agents to operate with checkpoints after each critical step, and require a quick human review. This keeps quality high, avoids runaway behavior, and builds trust in real-world use without slowing things down.

The Opportunity...

Podcast: 

• This week's Open Tech Talks episode 156 is "Mapping Your Generative AI Maturity From Aware to Transformative Part 1"

Apple | Amazon Music

Courses to attend:

• Reinforcement Fine-Tuning LLMs with GRPO by DeepLearning AI. In this course, Learn the foundations of reinforcement learning and how to use the Group Relative Policy Optimization (GRPO) algorithm to improve reasoning in large language models.
• Anthropic's Prompt Engineering Interactive Tutorial: This course will provide a comprehensive step-by-step understanding of engineering optimal prompts within Claude.

Events:

• European Conference on Artificial Intelligence, October 25-30, 2025, Bologna, Italy.
• The AI Summit London, June 11-12, 2025, Tobacco Dock, London

Tool / Product Spotlight

Tech and Tools...

• onlook: The Cursor for Designers, an Open-Source, Visual-First Code Editor

The Investment in AI...

• Artificial intelligence infrastructure startup Chalk said Wednesday it had raised a $50 million Series A funding round.

And that’s a wrap for this week! Thank you for reading. 

I’d love to hear your thoughts. Hit reply to share feedback, or let me know which section was most useful. 

If you enjoyed this issue, consider sharing it or forwarding it to a colleague or friend who’d benefit from it. Your support helps grow our AI community.

Until next Saturday,

Kashif

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.