GENERATIVE AI

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• Forrester reveals top 10 emerging technologies for 2025: AI becomes a business imperative

  Agentic AI represents the next frontier in automation, enabling systems to make decisions independently and with intent.

  

• India’s creative economy to lead next growth wave, says Adobe CEO at Waves Summit

  At Waves 2025, Adobe CEO Shantanu Narayen said India’s next growth phase will be driven by creativity, not code, powered by AI. He emphasised local AI models, ethical tech, and creator-led innovation. Adobe also announced partnerships to boost creative education and expand its presence across India.

  

• AI is not a threat to human creativity but a powerful ally, say tech leaders

  At the World Audio Visual and Entertainment Summit (WAVES) 2025 in Mumbai, tech leaders emphasized that Artificial Intelligence (AI) is a powerful ally for human creativity rather than a threat. Adobe CEO Shantanu Narayen highlighted AI’s role in enhancing Indian creators’ capabilities, noting its impact on media, design, and regional language storytelling.

  

• Xanfi: India’s multilingual leap in generative AI, launched at IIT Delhi

  Designed to assist, create, and communicate in over 100 languages, including all 22 official Indian languages, Xanfi signals a growing ambition: building inclusive, intelligence-first AI solutions from within India.

  

• How GenAI is reshaping India's financial sector in FY26

  ​​In India, Gen AI is set to boost GDP growth by 0.9-1.1% annually over the next seven years, transforming key sectors like finance, education, healthcare, and retail. Primary sectors like business services, finance, transportation, education, retail, and healthcare are seeing major development fuelled by AI technologies. In e-commerce and ed-tech, Gen AI is improving user experience by offering personalised suggestions and adaptive learning patterns.

  

• Four ways to empower your people with AI fluency

  Organizations must prioritize AI fluency to leverage the transformative potential of GenAI. Dell Technologies' study highlights the need for strategic alignment, experimentation, and secure technology. Equipping the workforce with skills and clear guidelines fosters responsible AI adoption, augmenting human capabilities and driving innovation in the evolving digital landscape.

  

• Meta to start using Europeans data for AI training May 27

  Meta plans to utilize public posts and comments from European users to train its generative AI models, starting May 27. This includes content from Facebook, Instagram, and Threads, excluding WhatsApp private messages. Users can opt out of this data-mining project, though Meta may still process information from publicly shared images or mentions.

  

• Demand isn’t disappearing, it’s evolving: India’s GCC tech talent landscape 2024 report

  India's Global Capability Centres (GCCs) are evolving into innovation hubs, driven by AI, cloud, and cybersecurity. The demand for GenAI skills is surging, especially in BFSI and retail, while Bengaluru leads in defense and BFSI hiring. Tier-2 cities are emerging as talent hotspots, addressing skill gaps in FinOps and AI, with compensation premiums rising for specialized roles.

  

• OpenAI’s Sam Altman calls for new revenue sharing models in GenAI age

  OpenAI CEO Sam Altman addressed copyright concerns around its Ghibli-style image generator, clarifying it avoids replicating living artists’ work. He emphasised the need for new revenue-sharing models to support creators in the AI era, calling for a balance between artistic inspiration, consent, and fair compensation as generative tools reshape creative industries.

  

• Coventry University, VIT explore AI solutions for hydrogen transport challenges

  The research addresses hydrogen embrittlement, a significant challenge affecting metal infrastructure. This UKIERI-funded study, running through 2026, promotes academic exchange and capacity building.

  

• Need to build trust on AI in similar way as we did on aircraft initially: Addl Secy, MeitY

  Abhishek Singh, Additional Secretary at MeitY, emphasized the need to build trust in emerging technologies like AI by ensuring they are accountable and explainable. He discussed the importance of standards and norms, particularly as complexities with tools like LLMs and Generative AI arise, and highlighted the necessity for inclusive data sets and fair standards.