Back to News

How Enterprises Can Spot Truly Transformative Agentic AI Amid the Noise: Exclusive Interview with Balakrishna D. R., EVP, Global Services Head-AI and Industry Verticals, Infosys

Analytics Insight
Jul 21, 2025 05:21
Market Trends
1 views
aianalyticsbig-databusiness

Summary

In an exclusive interview, Balakrishna D. R. of Infosys emphasizes that enterprises should look for agentic AI solutions that demonstrate measurable business impact, scalability, and seamless integration with existing systems. He highlights the importance of moving beyond hype to adopt AI technologies that drive real transformation and operational efficiency. This approach signals a shift in the AI field toward practical, results-driven implementations over experimental or superficial deployments.

Read Full ArticleMore News

Related Articles

Chatbots to robots: The rise of 'physical AI'

Hacker News - AIJul 21

The article discusses the evolution of AI from software-based chatbots to "physical AI" embodied in robots capable of interacting with the real world. This shift enables AI systems to perform complex physical tasks, expanding their applications beyond virtual environments. The rise of physical AI signals a significant step forward for the field, with implications for industries such as manufacturing, healthcare, and logistics.

Fearful of AI-generated grant proposals, NIH limits scientists to 6 applications

Hacker News - AIJul 21

The National Institutes of Health (NIH) is limiting scientists to six grant applications per year, citing concerns that AI tools are enabling a surge of low-quality, AI-generated proposals that strain the review process. This move highlights growing worries about the impact of generative AI on research integrity and administrative workloads in scientific funding. The policy may prompt other funding agencies to consider similar restrictions as AI-generated content becomes more prevalent.

Show HN: Genie: Your AI-Powered Terminal Sidekick (CLI and TUI)

Hacker News - AIJul 21

Genie is an AI assistant designed to integrate directly into the command line, enabling users to interact with AI without leaving their terminal environment. It offers both CLI and TUI interfaces, supports piping outputs from existing Unix tools, and features persona-driven assistance tailored to specific roles. This approach exemplifies the growing trend of embedding AI seamlessly into developer workflows, enhancing productivity while maintaining user control and transparency.