ARTIFICIAL INTELLIGENCE

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• Latest technologies like AI, IoT need to be used to improve quality of data: CEA

  Chief Economic Advisor emphasizes leveraging AI and IoT to enhance data quality for effective policymaking, highlighting the complementary nature of statistical and alternate data. NITI Aayog stresses integrating conventional data with new sources, ensuring quality for evidence-based decisions. MoSPI aims to incorporate alternate data into the national statistical system, releasing 'EnviStats India, 2024' to support environmental policymaking.

  

• IT’s growth search takes them to doors of mid-market firms

  After a challenging year, India’s IT industry is targeting growth beyond the Fortune Global 2,000 and Fortune 5,000, focusing on an underpenetrated segment: smaller and mid-sized enterprises with annual revenues of $1-5 billion. With large clients slow to deliver revenue, the natural pivot has been towards smaller firms.

  

• Demis Hassabis, Google Deepmind CEO, advises students to study these subjects as AI replaces tech jobs

  Google DeepMind CEO Demis Hassabis advises students to prioritise STEM education, emphasising that mathematics, physics, and computer science are fundamental for understanding AI systems. He predicts AI will create valuable new jobs for technically skilled individuals and encourages hands-on experience with AI tools.

  

• US labor unions fight to contain AI disruption

  But the emergence of advanced "physical AI" promises a new generation of intelligent robots that won't be limited to repetitive tasks -- potentially displacing far more blue-collar workers than ever before.

  

• Building the backbone of enterprise AI: Systematic MLOps and innovation at scale

  Modern approaches to artificial intelligence combine systematic MLOps practices, cross-functional collaboration, and strategic implementation methodologies to create solutions that enhance decision-making processes while driving technological advancement.

  

• Driving AI innovation for scalable public systems: An expert’s machine learning breakthroughs

  Recognized with the Silver Stevie Award for Technical Professional of the Year, Vineeth’s efforts reflect the evolving intersection of AI with public service technologies, especially in domains like smart mobility, urban infrastructure, and predictive analytics for governance.

  

• Google and DOJ to make final push in US search antitrust case

  As the antitrust trial concludes, Google and U.S. enforcers present final arguments on remedies for Google's illegal search dominance. Proposals include forcing Google to sell Chrome, share search data, and cease payments to Apple and other device makers. OpenAI has expressed interest in buying Chrome, while Google argues the proposals are excessive.

  

• AI security startup unbound raises $4 million in round led by race capital

  Wayfinder Ventures, Y Combinator, Massive Tech Ventures, and angel investors like Alpha Square Group and Northside Ventures participated in the oversubscribed seed funding round of the startup. Unbound, which helps organisations safely integrate GenAI into their workflows, plans to use over $1 million for hiring and expanding its R&D efforts.

  

• Artificial intelligence is a generational shift, with its impact far greater than the internet: Sunil Mittal

  Sunil Bharti Mittal says AI's impact will surpass the internet. He spoke at the CII Annual Business Summit 2025. Mittal highlighted AI's effect on India's job market. He noted potential difficulties in software engineering. Mittal also emphasized new opportunities AI will create. He urged government support for industry. Mittal called for increased R&D investment and a trade reset.

  

• Norway's Wealth Fund CEO demands AI adoption among employees

  Nicolai Tangen, CEO of Norway's $1.8 trillion sovereign wealth fund, is mandating AI adoption among his 670 employees. He believes AI is crucial for efficiency and future career prospects within the fund. Despite initial resistance, Tangen is implementing various initiatives to encourage AI usage, aiming for significant efficiency gains in the coming years.

  

• Data innovation at scale: Real-time analytics and generative AI powering business transformation

  Modern approaches to data engineering combine comprehensive project management frameworks, cross-functional collaboration, and emerging technologies to create systems that drive efficiency and strategic decision-making.