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India ranks 4th on Stanford’s global AI power list; AI tool of the week: how to craft effective prompts with Claude; India’s GenAI funding rebounds; and more…
India ranked fourth in the just-released Stanford's Global Vibrancy Tool 2024, which confirmed the US as the global leader in artificial intelligence (AI), ahead of China and the UK.
The U.S. has consistently outperformed nations in the quality of AI research, the number of machine learning models, private capital investment, and AI-related job creation. It has invested $67.2 billion in AI private capital in 2023, significantly outpacing China’s $7.8 billion. The US also led in developing notable machine learning models (61 compared to China’s 15) and had the most AI-related mergers, acquisitions, and startup activity. Additionally, it produced the most responsible AI research, highlighting its commitment to ethical innovation.
China holds the second position but remains far behind the U.S. While it leads in AI-related patents, China lags in other critical metrics, indicating a growing gap between the two nations. This shift suggests the U.S. is pulling away from its closest competitor, solidifying its dominance in AI development and application. With the UK ranked third, the findings underscore the critical importance of sustained investment and innovation to remain competitive in the global AI race.
According to the index, India is doing well in AI research and development (R&D), and in areas like journal and conference publications, citations, GitHub projects, AI skill penetration, hiring, and talent concentration. The country also ranks high in funding for AI startups and demonstrates strong interest in AI innovation.
However, India falls behind the top three countries in policy, governance, and infrastructure, lowering its overall score. This success reflects a thriving tech ecosystem driven by grassroots skill development and mentorship rather than government initiatives.
Source: Stanford’s Global AI Vibrancy Ranking 2024
The tool evaluates AI ecosystems in 36 countries based on 42 indicators, including research output, private investment, patents, and infrastructure. You may access the Global Vibrancy Tool here.
India's strides in AI were recognised by the world when it finally found its place in the sixth edition of the AI Index Report--an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI)--“in recognition of the increasingly important role it (India) plays in the AI ecosystem”. The report acknowledge the country's release of its National AI strategy (2018), the rising number of AI publications, AI applications, machine learning systems, contribution to the development of large language and multimodal models, GitHub AI projects contributed by software developers in the country, hiring of AI talent, relative AI skill penetration rate (across gender too), private AI investments, and increasing government implementation of AI curricula.
AI Unlocked: How to craft effective prompts with Claude
by AI&Beyond, with Jaspreet Bindra and Anuj Magazine
AI tool of the week: ‘Improve existing prompt’ from Claude
What problem does this feature solve?
Crafting effective prompts is crucial for achieving accurate AI responses, but mastering prompt engineering can be challenging and time-consuming. Developers often face difficulties in predicting how AI models will interpret and respond to prompts, making the process of prompt refinement complex and iterative. 'Improve existing prompt’ from Claude addresses this issue by refining existing prompts automatically, leveraging best practices in prompt engineering to help developers enhance their AI workflows seamlessly.
You may access the Anthropic Console at: https://console.anthropic.com/ and select 'Improve existing prompt'
This feature can help you:
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Refine Prompts for Accuracy: Automatically rewrite prompts to enhance their clarity and structure, resulting in more accurate and reliable model responses.
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Standardise Examples: Convert examples into a consistent XML format to improve how Claude processes inputs and outputs.
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Enhance Complex Prompts: Add advanced techniques like chain-of-thought reasoning to help Claude systematically solve problems.
Example:
Suppose you're a developer working on a chatbot feature for an e-commerce website. You want Claude to generate user-friendly responses for common customer queries, such as product availability or order tracking:
Existing Prompt: For example, 'The customer asks: "What is the current status of my order {{variable}}?" Please provide the latest tracking information.'
Use the Prompt Improver: In the 'What would you like to improve?' field of the prompt improver console, enter: 'Add specific examples of similar customer queries and provide enriched, detailed responses. Include relevant follow-up questions to make the response more interactive and helpful.'
Get Improved Output: The refined prompt ensures that Claude provides comprehensive, conversational answers, improving customer satisfaction and reducing repetitive follow-up queries.
Note: This process takes 1-2 minutes and uses some Claude 3.5 Sonnet credits.
What makes 'Improve existing prompt’ from Claude special?
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Chain-of-Thought Reasoning: Improves accuracy by guiding Claude through problems step-by-step before responding.
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Example Enrichment: Adds standardised examples, boosting Claude's ability to handle complex tasks.
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User Feedback Loop: Allows ongoing prompt adjustments based on user feedback to further refine responses.
Note: The tools featured in this section demonstrated clear value based on our internal testing. Our recommendations are entirely independent and not influenced by the tool creator.
India leads the way in AI-driven workplace collaboration: report
India has emerged as a global leader in adopting AI for workplace collaboration, with 80% of Indian leaders using AI daily or frequently, second only to the Netherlands, reveals a new report commissioned by Zoom and conducted by Morning Consult.
AI adoption is widespread in India, with 80% of leaders and 70% of employees using AI regularly, far surpassing global averages. Leaders report that AI has significantly improved team performance, brainstorming, and communication, with 90% noting enhanced work quality.
Image: Pixabay
That said, Indian leaders spend substantial time resolving collaboration issues, such as unproductive meetings and task follow-ups, with 54% preferring to focus on strategic initiatives if given more time, the report notes. Yet, in-person interactions remain highly valued, with a majority finding them productive. Hence, balancing synchronous and asynchronous communication could alleviate meeting fatigue and improve efficiency, the report notes.
Employees also acknowledge AI's benefits in saving time, fostering better communication, and improving alignment. However, challenges persist in ensuring equitable access to AI tools across a multi-generational workforce.
India's data centre capacity may surge 66% by 2026, fuelled by AI: report
India's data centre industry may see exponential growth, driven primarily by AI and the nationwide rollout of 5G technology, a new JLL India report predicts. The sector is forecast to add 604 megawatts (MW) of capacity between the first half of 2024 and 2026, bringing the total from 917 MW to 1,521 MW. Over the past four and half years (2019-H1 2024), the sector has expanded 2.5 times, growing at a remarkable 24% CAGR.
Source: istockphoto
The growth is expected to be fuelled by significant government initiatives, including the approval of a $1.24 billion investment in AI infrastructure. Additionally, 5G network coverage is estimated to have reached over 90% of India's population by the end of 2023. The future expansion of the data centre industry till 2026 will require approximately 7.3 million sq. ft of real estate and a capital investment of $3.8 billion, notes the report. It adds that while Mumbai is expected to maintain its market leadership, Chennai and other regions could see "significant growth".
India’s GenAI funding rebounds in Q2FY2025
Funding rebound led by applications and services:
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Total funding grew 3.4X year-on-year, led by investments in enterprise applications and Agentic AI.
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Funding rounds grew by 3X in Q2 of FY2025, with early-stage investments accounting for 77% of all rounds, including angel and seed funding.
Strong uptick in product and go-to-market partnerships:
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Providers shifted from building use case portfolios to converting active PoCs (proof-of-concepts) into production-ready solutions.
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Partnerships surged by 25% q-o-q, focusing on product enhancements, joint go-to-market strategies, and government-led skilling initiatives.
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Active PoCs and production use cases boosted the GenAI revenue pipeline, with stronger realizations reported.
Shift to advanced AI Skilling and thematic upskilling:
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Talent strategies transitioned from basic AI literacy to advanced and thematic upskilling, emphasizing platform integration and agentic AI capabilities.
Source: NASSCOM's GenAI Tracker Report 2024
Indian firms show strong commitment to AI, data-driven transformation: survey
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1 in 4 Indian organisations have fully digitised their physical documentation, demonstrating a strong commitment to AI and data-driven transformation.
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95% of Indian organisations have defined AI strategies aligned with business goals, though only 31% have fully implemented them.
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57% of Indian respondents have digitised a significant portion of their physical documents, with 23% achieving full digitisation.
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100% of Indian organisations report efforts to govern and protect unstructured data, with 39% making substantial progress in preparing high-quality data for AI applications—outpacing global counterparts like the US (29%) and the UK (11%).
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32% of Indian respondents have extensively integrated their unstructured data with business-critical applications that use AI.
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51% of Indian respondents have extensively integrated generative AI across various operational areas, driving innovation and operational efficiency.
Source: Iron Mountain's AI Readiness report released on 25 November. The countries surveyed were India, the US, UK, Germany, France, and Australia.
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