Catalysing AI-powered autonomy
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
With the rise of agentic artificial intelligence (AI), AI is evolving beyond traditional automation and moving towards attaining a higher level of autonomy. Rajnil Mallik and Indranil Mitra examine how India is uniquely positioned to lead the autonomous intelligence sector by leveraging its skilled talent pool, vibrant innovation ecosystem and supportive government policies.
In today’s dynamic business environment, enterprises face increasing challenges to streamline financial processes and mitigate associated risks. With its advanced capabilities, agentic AI presents transformative solutions to automate these workflows enabling proactive third-party risk management. This article showcases how agentic AI was leveraged to automate invoice validation workflows for a leading hyperscaler client, enhancing control and compliance.
'Embracing sustainability would require a strong business case in a growing country like India’
Marrying people and technology can solve current manufacturing challenges of scale, speed and quality, says B. Thiagarajan, Managing Director of Blue Star Ltd. in a conversation with Sudipta Ghosh, Data and Analytics and Industrial Products Leader, PwC India.
The dawn of agentic artificial intelligence (AI), capable of taking autonomous action, is changing how we look at enterprise transformation. Unlike conventional automation tools, agentic AI systems are dynamic collaborators, capable of learning, adapting and making decisions within the provided ethical and organisational margins.