Utilise tech to ensure timely darshan for devotees: EO
In a virtual meeting held on Tuesday with TCS representatives and TTD IT officials, along with Additional EO Ch Venkayya Chowdary, the EO stressed enhancing darshan systems for different queues like Sarva Darshan, Special Entry Darshan and Divya Darshan.
He directed officials to adopt QR codes and facial recognition for faster verification of pilgrims, replacing manual checks and also highlighted the need to educate devotees to report at their allocated time slots to avoid delays and improve crowd management.
TCS representatives presented a detailed analysis via PowerPoint, showcasing the time taken by pilgrims at various stages from entry into the queue, waiting in compartments, to exit after darshan. The EO instructed regular meetings and a strategic action plan to enhance efficiency through technology. TTD GM (IT) Sesha Reddy, Dy GM (IT) Venkateswara Naidu, and other officials participated in the meeting.
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As AI-powered automation sweeps through the industry, they are facing a twin trouble: widespread layoffs and mounting immigration uncertainty. Add rising political hostility to the mix, and the future looks anything but stable. For years, Indian professionals have been the silent engines behind America's tech boom - coding, analysing and keeping systems running. But now, things are changing fast. The rules are shifting and the safety net they once relied on is starting to fray. The Rise Of GCCs While big Indian IT firms like Wipro and Infosys are slowing down on hiring freshers, Global Capability Centres (GCCs) are quietly stepping up - but on their own terms. These centres are the tech and innovation hubs of global giants like Goldman Sachs, Siemens and Walmart. Unlike traditional IT companies, they're not hiring in bulk. They are being choosy, focusing on smaller, high-skilled teams rather than mass recruitment. They are filtering for quality over quantity. 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Many of these don't require elite degrees or several years of experience, but just curiosity, adaptability and a willingness to learn new tools. A post on the 'Indian Workplace' subreddit highlights the ordeal of a young software graduate "stuck in a loop" - submitting hundreds of job applications but receiving no callbacks. The post, which quickly resonated with thousands of users, captures the quiet despair shared by many young graduates and junior developers navigating today's overcrowded and AI-disrupted job market. It's not just an isolated complaint, it reflects a broader reality: fierce competition, shrinking roles and fewer clear entry points into the tech world. So What Needs to Change? Start with the curriculum. AI and machine learning should be core, not electives. Students need to learn systems thinking, prompt writing and real-world context, not just syntax. Expand degree-plus-internship models that let students earn and learn alongside real tech work. It's not just about skills, it's about confidence too. Skilling missions must scale. India's FutureSkills PRIME is a start, but we need a national AI readiness push with funding, incentives and commitment from startups to MNCs. Bring startup labs to campuses. Real tools, real prototypes, real failures. Replace handwritten exams with hackathons. Redefine "entry-level". Forget old L1 jobs. Think AI trainers, prompt engineers, ethics testers, and data labourers. If you are a student, know this: AI isn't your enemy - it's your co-pilot. Stackable micro-degrees, no-code tools, problem-solving skills - anyone from anywhere can thrive. The old career ladder may be broken. But the highway to new-age tech roles is wide open. Disclaimer: These are the personal opinions of the author
