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Home Authors Posts by Dhvani Rajyagor

Dhvani Rajyagor

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Proton introduces secure privacy-first workspace suite with encrypted video calling feature
Other Technology

Proton unveils privacy-first Workspace suite under Swiss data protection laws

Dhvani Rajyagor -
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Gnani.ai raises $10 million Series B funding to scale multilingual AI voice solutions globally
Business India

Gnani.ai secures $10 million to expand global voice AI capabilities

Dhvani Rajyagor -
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National Grid UK to invest $400 million in India GCC, create 1,000 jobs
GCC

National Grid UK plans $400 million GCC in India to bring engineering work in-house

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Coforge moves closer to Encora acquisition with RBI approval for $1 billion overseas investment
Business India

Coforge secures RBI nod for $1 billion overseas investment to acquire Encora

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Autorickshaw driver held in ₹1.5 crore cyber scam targeting Mumbai senior citizen
Cyber India

Mumbai cyber fraud case sees arrest after senior citizen loses ₹1.54 crore

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Bellatrix Aerospace secures $20 million to boost global satellite propulsion output
Science & Breakthroughs

Bellatrix Aerospace raises $20 million to scale satellite propulsion manufacturing

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reframe, rephrase and rewrite this in a better and different way, this is news so also keep the flow as a news format to be published on social media platforms, and give me relevant 6 AI-powered SEO Hashtags in a single line and KEEP #TheMainstream FRIST, the entire content should not be more than 400 words. if there is any name mentioned of any media group or news channel name then just replace it with a common noun, also maintain plagiarism. if there is any content or words said by someone in double inverted commas, like someone is saying something or a conversation in double inverted commas, let it remain as it is. mention all the numbers in figures and not in words. please write the entire content in plain and simple easy to read and understand English. do not miss out on any details mentioned in this content and do not add anything else in this apart from what is written in this content. make the headline of the article depending upon the actual context mentioned in the content and should be meaningful. but different than what is given to you. the headline/main title should be sentence case. Use simplified, impactful sentences; avoid complex structures. Ensure grammatical correctness and readability. the opening paragraph of the content must start differently from the headline, more sophisticated and subtle. give me one extra headline at the bottom of the content. dont highlight except headline lobal Capability Centers are entering one of the most consequential transitions in their 25‑year history. What began as a cost‑efficient service extension has evolved into a strategic engine for digital capability and innovation, driving GCC transformation strategy across global enterprises. A recent whitepaper by EY and AMCHAM titled ‘The Agentic AI-first Global Capability Center’, outlines a new phase of reinvention: the emergence of the Agentic AI–first GCC, where autonomous intelligence becomes the operating model’s execution layer rather than a tool retrofitted onto legacy processes. Why the transition is unavoidable Enterprise AI has moved firmly into production, with nearly half of large organizations already running mature AI use cases. As per the EY GCC Pulse Survey 2025, a task level analysis shows that 24% of enterprise tasks are fully automatable and another 42% can be significantly augmented, signaling a major enterprise automation shift and accelerating GenAI adoption across industries. Coupled with falling compute costs, rapidly advancing foundation models and increasing pressure for decision velocity, the rationale for AI first operating models is no longer experimental — it is becoming strategic. What makes an Agentic AI GCC different Agentic systems represent a new category of enterprise capabilities. These systems can perceive context, plan multi step actions, invoke tools and APIs, coordinate across platforms, and learn continuously from feedback loops — forming the backbone of autonomous workflow systems and autonomous decision-making systems. In practice, workflows no longer move through linear approvals. They operate as event‑driven environments where autonomous agents handle execution and escalate only the exceptions requiring human judgment. For GCCs, this shift moves teams away from repetitive execution toward oversight, intervention and strategic interpretation —fundamentally altering both the shape of work and the skills required. GCC as the enterprise intelligence center GCCs are structurally positioned to lead this shift. They bring together cross‑functional talent, enterprise‑wide data access, engineering scale, governance maturity, and the connective processes required for scaling enterprise‑wide autonomous AI systems. This combination makes the GCC a natural center of gravity for AI, reducing the fragmentation that arises when business units attempt to build capabilities independently. Industry momentum reinforces this: as per the EY GCC Pulse Survey 2025, 83% of GCCs are already engaging with GenAI adoption, and 58% are actively developing agentic capabilities. The economic case for an AI‑first architecture The rationale for this transition is grounded in structural value creation rather than incremental efficiency gains. Traditional levers such as Lean programs, ERP consolidation, and robotic automation have typically delivered only 5%–15% improvements, and many enterprises are now reaching the limits of these approaches. Agentic AI enables end‑to‑end enterprise AI orchestration, continuous optimization, and exception‑driven execution — unlocking productivity through Agentic AI systems. As workflows are redesigned around autonomous intelligence, GCCs evolve from delivery hubs into engines of enterprise‑wide value creation, anchoring next‑generation digital operating models. A blueprint for building the AI‑first GCC Sustained transformation requires aligned investment across four interdependent pillars that define a robust GCC transformation strategy: Agentic‑native talent and culture: Shifting human roles toward oversight, judgment and orchestration Agentic platforms and architecture: Hybrid stacks, API‑first platforms and modular design enabling interoperability Governance and accountability: Designing Responsible AI governance frameworks through an embedded AI governance framework with explainability and human‑in‑the‑loop controls Operating‑model redesign: Event‑driven orchestration replacing linear and approval‑based workflows These pillars reinforce one another; neglecting anyone constrains the potential of others. Accelerating the journey As organizations reimagine their GCC transformation strategy, many are looking for structured ways to align architecture, governance and talent while avoiding fragmented experimentation. Approaches that combine advisory insight with execution support, such as the EY Intelligent GCC solution suite powered by EY.AI, can help institutions design AI native centers, embed autonomous workflows and strengthen Responsible AI practices — enabling faster and more confident transitions without added complexity. Governance and workforce: The real differentiators Private space firms advance robotics with ISS mission partnership
Science & Breakthroughs

Voyager and Icarus Robotics partner to test free-flying robot on ISS

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Sanand emerges as semiconductor hub with ₹3300 crore Kaynes facility launch
Business India

Narendra Modi inaugurates ₹3300 crore Kaynes Semicon facility in Gujarat

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Samsung eyes silicon photonics to compete with TSMC in AI chip race
Other Technology

Samsung accelerates silicon photonics plans to strengthen AI chip strategy

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Rupee hits record low, posts worst fiscal year decline since 2011-12
BFSI & FinTech

Rupee slides past 95/USD, records sharpest yearly fall in over a decade

Dhvani Rajyagor -
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