ArdorComm Media Group

Saturday, February 7, 2026 3:00 AM

Digital Transformation

Wipro Cuts FY26 Fresher Hiring Outlook After Soft Q3 Performance

Wipro has scaled back its fresher recruitment plans for the ongoing financial year FY26, now expecting to hire 7,500–8,000 graduates, compared to its earlier guidance of 10,000–12,000. The revision follows a subdued performance in the third quarter, during which the IT major onboarded only around 400 freshers. Addressing analysts during the company’s Q3 earnings call, Saurabh Govil, Chief Human Resources Officer at Wipro, said campus hiring remained slow in the quarter, prompting the company to reassess its annual intake target. Despite the moderation, Wipro’s cumulative fresher hiring for the year so far has crossed 5,000. While overall volume hiring has eased, the company is sharpening its focus on AI and deep-tech talent. Wipro has partnered with universities to set up nearly 50 Centres of Excellence, where it co-develops specialised curricula in areas such as artificial intelligence, cybersecurity and data analytics, and recruits students trained through these programmes. The company is also offering premiums for candidates with relevant client-facing experience and investing heavily in upskilling existing employees through certifications. During the October–December quarter, Wipro added 6,529 employees, taking its total workforce to 2,42,021. The headcount increase was largely due to the integration of the Harman DTS acquisition and the rebadging of staff from a major deal signed in the previous fiscal year. On compensation, Wipro said decisions on salary hikes are still under consideration. Financially, the company reported a 7% year-on-year drop in consolidated net profit to ₹3,119 crore in Q3 FY26, impacted by one-time restructuring costs and the implementation of labour codes. Revenue from operations, however, grew 5.5% to ₹23,555.8 crore, up from ₹22,318.8 crore in the same quarter last year. Source: PTI  

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Ambani rolls out draft Reliance AI Manifesto, eyes 10x productivity leap and nationwide impact

Reliance Industries Chairman Mukesh Ambani has unveiled a draft Reliance AI Manifesto, laying out a sweeping plan to reposition the conglomerate as an AI-native deep-tech enterprise while aiming for a tenfold boost in productivity across its workforce of over six lakh employees. The initiative also targets a 10x impact on India’s economy and society. Describing artificial intelligence as “the most consequential technological development in human history,” Ambani said Reliance intends to spearhead India’s AI journey, much as it played a central role in the country’s digital transformation. The group’s stated mission is to deliver “Affordable AI for every Indian”, embedding AI across businesses while ensuring safety, trust and accountability. According to Ambani, the manifesto is not a slogan but a practical action guide. “At Reliance, we are transforming ourselves into an AI-native deep-tech company with advanced manufacturing capabilities,” he said, adding that the draft manifesto will steer this transformation. Internal transformation through AI Part I of the manifesto focuses on reshaping Reliance’s internal operations. AI is positioned not as a standalone technology initiative but as a fundamentally new way of working. The group plans to reorganise around outcomes and end-to-end workflows, supported by shared digital platforms and robust governance frameworks. AI and agentic automation will be deployed to reduce repetitive tasks, enhance decision-making, and improve speed and quality, while maintaining clear human accountability. Execution will be driven by small, cross-functional teams or “pods” with defined ownership and measurable goals, supported by continuous data, learning, operations and automation systems. Core workflows such as procure-to-pay, order-to-cash, hire-to-retire and plant-to-port will be redesigned to eliminate manual handoffs, close digital gaps and enable real-time visibility. Ambani stressed that AI will augment human capability rather than replace jobs, saying the focus is on raising standards and unlocking collective potential. A common 12-layer Digital Functional Core (DFC) will standardise data, integration, security and controls across Reliance businesses, while allowing individual units autonomy over their platforms. Governance, audit trails and human-in-the-loop mechanisms will be embedded to balance speed with safety, compliance and trust. Driving India’s AI-led growth Part II extends the vision beyond Reliance, positioning the group as a catalyst for India’s broader AI transformation. Ambani said that just as AI can deliver a 10x improvement in efficiency and outcomes within Reliance, it can also generate a similar multiplier effect for the country through the group’s businesses and philanthropic efforts. Employees have been invited to submit ideas on AI applications across Reliance’s diverse portfolio—from Jio’s 500-million-plus subscribers and the country’s largest retail network to energy, materials, life sciences, financial services, media and philanthropy. Ambani also pointed to opportunities in indigenous AI hardware, robotics and cross-sector innovation to boost efficiency, sustainability and technological self-reliance. Ideas can be submitted between January 10 and 26, after which the manifesto is expected to evolve into a shared organisational commitment. “Let us begin—together,” Ambani said, calling on employees to help build “a New Reliance and a New India.” Source: PTI

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JioHotstar Surpasses 1 Billion Downloads, Redefines India’s Streaming Landscape

JioHotstar, the entertainment platform under JioStar, has officially crossed 1 billion downloads on Google Play, marking its entry into an exclusive group of global apps to reach this milestone. With over 300 million paid subscribers and more than 500 million monthly active users, it now stands as India’s largest streaming service by scale and reach. Formed through the merger of JioCinema and Disney+ Hotstar, the platform attributes its rapid ascent to a blend of localized storytelling, seamless technology, and strategic market integration. “By merging deep local relevance with innovation, JioHotstar is setting new benchmarks for how digital entertainment connects, inspires, and creates value,” the company said in a statement. The achievement follows a wave of technological breakthroughs unveiled by Akash Ambani, Chairman of Reliance Jio Infocomm and Director on the JioStar board, during the Reliance Industries AGM on August 29. Ambani introduced four cutting-edge features designed to elevate how users search, personalize, and enjoy content. Among them is RIYA, a voice-enabled AI assistant that helps users instantly locate moments, highlights, or specific clips without scrolling. “RIYA understands natural speech — from your favorite show’s key scenes to highlight reels and in-depth analyses,” Ambani explained. Another innovation, Voice Print, uses AI-powered voice cloning and lip-syncing to let viewers watch dubbed content while retaining the original actor’s voice. “Now, your favorite stars won’t just be dubbed — they’ll actually speak your language, in their own voice, synced perfectly to screen,” Ambani said. Also introduced was JioLenZ, allowing users to tailor their viewing experience in real-time, and MaxView 3.0, an upgraded, mobile-first cricket interface offering multi-camera angles, instant highlights, and live scorecards — all optimized for vertical viewing. Ambani emphasized that these developments reflect JioStar’s vision of merging content, software, and AI to deliver a uniquely immersive entertainment experience. Currently, JioHotstar hosts over 3.2 lakh hours of content — six times more than its closest competitors — and added 30,000 new hours in the past year. Within just three months of its launch, the platform attracted over 600 million users, including 75 million connected TV households. “With these innovations, we are steadily moving toward our goal of serving a billion screens — across mobile, TV, and connected devices,” Ambani affirmed. Source: Economic Times

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J&K Government Plans Single-Window Digital Platform to Streamline Recruitment Processes

The Jammu and Kashmir government is gearing up for a major digital reform aimed at transforming recruitment procedures across all departments through a unified online system, officials confirmed on Saturday. Satish Sharma, Minister for Administrative Reforms, Inspections (ARI) and Trainings, chaired a high-level meeting to review the proposal. He stressed the need for simplifying administrative operations to ensure efficiency, transparency, and timely decision-making within government departments. According to an official spokesperson, the proposed Single Window Digital System will centralize the process of drafting and amending recruitment rules, paving the way for uniform policy enforcement and faster execution. Commending the ARI & Training Department for conceptualizing the initiative, Sharma directed that the system’s design and rollout be expedited in coordination with the General Administration Department (GAD), Finance, Law, and the Jammu and Kashmir Public Service Commission (JKPSC). He highlighted that inter-departmental collaboration and accountability must be maintained throughout implementation. “This digital platform will eliminate administrative bottlenecks, ensure transparency, and bring consistency in recruitment practices across all departments,” Sharma said. “By integrating real-time monitoring and public access features, it will strengthen accountability and reinforce citizen trust in governance.” The minister instructed that the new system be linked with the existing E-Office framework, alongside capacity-building programs for departmental nodal officers to facilitate smooth adoption. The initiative envisions several benefits — including a uniform recruitment policy, reduced paperwork, quicker file processing, improved coordination between departments, and enhanced transparency through online tracking. As per the proposed model, the platform will feature secure departmental logins, digital templates for proposals, online routing among ARI & Training, Finance, Law, GAD, and JKPSC, and a centralized archive for all approved recruitment rules and amendments. It will also provide real-time SMS and email notifications, performance dashboards, escalation mechanisms for delays, and strong data protection protocols. Departments will be required to submit recruitment proposals within 30 days, followed by a 10-day processing window for each stakeholder department, ensuring final approval from the GAD within a fixed timeframe. The move, officials said, represents a decisive step towards a paperless, transparent, and efficient governance model in Jammu and Kashmir’s public administration. Source: PTI  

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AI Transforms Payroll and Attendance: Indian Platforms Redefine Workforce Automation

Artificial Intelligence is quietly revolutionizing one of the most traditional business functions — payroll and attendance management. What was once a routine administrative task is now becoming a strategic intelligence layer, driven by AI, analytics, and biometrics. The age of manual registers and spreadsheet payrolls is fading fast. Today’s systems leverage facial recognition, RFID scanners, and GPS tracking to automate attendance and salary processing. A 2025 EY report reveals that more than 60% of Indian employers are already using AI for payroll forecasting, compensation benchmarking, and workforce analytics — signaling a major shift from back-office operations to boardroom strategy. The latest workforce platforms blend automation with data-driven insight. AI algorithms now detect anomalies such as attendance gaps, duplicate records, or payroll mismatches — cutting processing errors by up to 70%, as per LiftHCM. Machine learning further enables predictive scheduling, overtime management, and compliance forecasting. Across India, this transformation spans every segment of the market: Petpooja Payroll, initially a restaurant-tech startup, now offers an integrated biometric-plus-cloud payroll suite for MSMEs taking their first digital leap. Pagarbook brings automation to small retailers and workshops through an easy mobile-first interface — echoing India’s growing trend of mobile-led HR adoption. Keka (Hyderabad) and GreytHR (Bengaluru) serve mid-tier businesses with full-fledged HRMS systems that unify attendance, leave, payroll, and analytics dashboards — merging enterprise-grade efficiency with startup-style innovation. At the enterprise level, Darwinbox and Workday lead the charge. While Workday continues to be the global HCM benchmark used by over 65% of Fortune 500 firms, Darwinbox exemplifies India’s homegrown AI innovation, incorporating conversational interfaces, predictive analytics, and seamless workflow integrations. For forward-looking organizations, payroll data is fast becoming a goldmine of workforce intelligence — revealing insights into productivity, engagement, and cost efficiency. CIOs are now positioning attendance and payroll automation alongside ERP, cybersecurity, and analytics as core pillars of digital transformation. As India enters 2025, payroll management is no longer just about salary disbursal. It’s about converting workforce data into actionable strategy — redefining how businesses measure, manage, and maximize human potential. Source: Economic Times

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Digital Colleagues Incoming: Nvidia CEO Says AI ‘Employees’ Will Work Alongside Humans, IT to Become HR for Agentic AI

Nvidia CEO Jensen Huang has offered a bold vision of the corporate workforce’s future — one where digital employees powered by artificial intelligence (AI) will work hand-in-hand with humans. These AI “agents,” he says, will not only perform professional roles but also undergo formal hiring and onboarding processes to learn company values, culture, and workflows. Huang believes this emerging “agentic AI workforce” could create a trillion-dollar market opportunity. In a recent conversation with Citadel Securities, Huang said he expects future enterprises to employ digital nurses, lawyers, accountants, and marketers — some licensed from AI developers, others trained in-house. “You’ll hire some and license some, depending on their expertise,” he explained. “The future workforce will blend humans with digital humans.” Huang emphasized that these AI agents will need structured orientation and integration, much like their human counterparts. “I tell my CIO that our IT department will one day be the HR department for agentic AI,” he remarked. “Our digital employees will collaborate with our biological ones — that’s the future shape of our company.” These AI “workers” could come from multiple platforms, including OpenAI, Harvey, OpenEvidence, Cursor, Replit, and Lovable. Some may be internally developed — Nvidia already employs more AI cybersecurity agents than human experts to protect its data and systems. The conversation around agentic AI — self-directed, task-performing digital entities — is gaining traction across the tech industry. Salesforce CEO Marc Benioff said at the World Economic Forum in Davos that the current generation of executives will likely be the last to lead all-human workforces. “From now on, leaders will manage both human and digital employees,” Benioff said. Similarly, Anthropic CEO Dario Amodei predicted that by 2026 or 2027, AI systems will surpass humans “in almost all domains,” underscoring the rapid pace at which artificial intelligence is evolving toward autonomy and workplace integration. Source: TOI

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Education Ministry Urges Schools to Adopt UPI for Fee Payments Under Digital Transformation Drive

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In a major push toward digital governance, the Union Ministry of Education has urged states and educational bodies to integrate the Unified Payments Interface (UPI) system for school fee collection. The initiative aims to enhance transparency, improve efficiency, and simplify the payment process for parents. In an official communication, the Department of School Education and Literacy advised states and affiliated institutions to adopt secure digital payment systems such as UPI, mobile wallets, and internet banking. This reform is part of the government’s broader digital transformation agenda in the education sector, ensuring smoother administrative operations and reducing dependency on cash transactions. The directive also extends to national education bodies, including the CBSE, NCERT, Kendriya Vidyalaya Sangathan (KVS), and Navodaya Vidyalaya Samiti (NVS), encouraging them to implement digital platforms for admission and examination fee submissions. According to the ministry, transitioning to digital payments brings multiple benefits—parents can pay from the comfort of their homes, ensuring greater convenience and transparency in transactions. The move is also expected to foster financial literacy among stakeholders and strengthen the culture of digital payments in educational institutions. The Education Ministry emphasized that this step marks a key milestone in aligning school-level administration with India’s vision of a digitally empowered society. Source: PTI

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How to Build a Continuous Learning Culture in Your Organization

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In today’s rapidly changing world, the most valuable asset any organization can cultivate isn’t just technology or capital — it’s the capacity to learn faster and adapt better than the competition. The shelf life of skills is shrinking, industries are being reshaped by innovation, and traditional job roles are continuously evolving. In this landscape, organizations that foster a continuous learning culture don’t just survive — they lead. So how can you move beyond occasional training programs and truly embed learning into the DNA of your organization? Let’s explore the mindset, strategies, and structures that make a continuous learning culture thrive. Redefine Learning: From an Event to a Mindset Most companies treat learning as a one-time event — a workshop, a certification, a webinar. But real learning cultures see it as an ongoing mindset. A true learning culture starts when employees — from interns to CEOs — see learning not as something they have to do, but something they want to do. It means rewarding curiosity, celebrating experimentation, and normalizing the idea that not knowing something today is just an invitation to grow tomorrow. Leaders can set the tone by modeling learning behavior: sharing what they’re reading, attending sessions themselves, and openly discussing their own growth areas. When curiosity flows top-down, it soon spreads sideways. Build the Infrastructure for Learning A culture cannot thrive without structure. Learning must be easy, accessible, and woven into daily workflows. Here’s how successful organizations make learning seamless: Digital Learning Platforms: Offer bite-sized, personalized content employees can access anytime. Think microlearning modules, internal MOOCs, or AI-driven learning journeys. Learning Experience Platforms (LXPs): Go beyond traditional LMS systems to provide tailored recommendations based on individual skills, goals, and performance data. Learning in the Flow of Work: Integrate learning into tools employees already use — Slack, Teams, or project management software — so that upskilling becomes a natural extension of their workday. By creating these learning touchpoints, you shift from training events to a continuous learning ecosystem. Connect Learning with Purpose Learning without purpose feels like homework; learning with purpose feels like growth. Employees are more likely to engage when they understand why learning matters — both for their career progression and the company’s mission. HR leaders and managers should tie learning opportunities directly to: Career pathways and promotions Skill-based projects and stretch assignments Organizational goals or innovation challenges When employees can see the connection between new skills and tangible outcomes, learning becomes meaningful — not mandatory. Empower Peer-to-Peer Learning Some of the most powerful learning doesn’t come from external trainers or e-learning platforms — it comes from peers. Encourage knowledge-sharing communities, mentorship programs, and internal “lunch and learn” sessions where employees teach each other. This not only builds skills but also creates a sense of belonging and cross-functional collaboration. For example, a data analyst could host a short session on Excel automation, while a communications specialist could share tips on persuasive writing. Over time, this peer-driven learning becomes self-sustaining — a hallmark of mature learning cultures. Measure, Recognize, and Reward Learning What gets measured gets valued. Organizations often track KPIs like revenue or customer satisfaction, but rarely measure learning progress. To make learning integral, establish metrics such as: Skill acquisition and certification rates Learning engagement scores Internal mobility linked to upskilling Moreover, reward learning behaviors, not just performance outcomes. Recognize employees who proactively learn new tools, mentor others, or contribute to knowledge bases. A small acknowledgment — a feature in the company newsletter or “learning champion” badge — can go a long way in reinforcing the right habits. Make Failure Part of Learning A continuous learning culture cannot exist without psychological safety. Employees must feel safe to experiment, fail, and learn from mistakes without fear of punishment. Leaders should create environments where failure is seen as data, not defeat. Sharing “lessons learned” stories or holding reflection sessions after projects helps normalize the learning loop. When teams know that innovation and imperfection can coexist, creativity blossoms — and learning accelerates. Align Learning with Organizational Strategy Finally, continuous learning must be tied to business priorities. The most successful organizations treat learning as a strategic lever — aligning it with goals like digital transformation, innovation, and customer experience. This ensures learning isn’t an HR initiative, but a business imperative. When learning drives measurable business outcomes — faster innovation cycles, reduced attrition, improved leadership pipelines — it becomes non-negotiable. Conclusion: Make Learning a Way of Life Building a continuous learning culture isn’t a quick project; it’s a long-term transformation. It requires leadership buy-in, thoughtful systems, and a deep respect for human potential. But once embedded, it transforms the organization into a living, breathing learning organism — adaptive, resilient, and always ready for what’s next. Because in the future of work, the best organizations won’t be the biggest or the fastest. They’ll be the ones that never stop learning.

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PwC India Unveils Vision 2030, to Add 20,000 Jobs and Triple Revenue in Five Years

PwC India has announced an ambitious expansion plan under its Vision 2030, aiming to grow its workforce to 50,000 employees within the next five years by creating 20,000 new jobs. The consulting major is targeting a threefold increase in revenue, committing over 5% of annual revenues to technology, innovation, and capability building. The company will sharpen its focus on areas such as digital transformation, sustainability, risk and regulatory compliance, cloud, and cybersecurity, positioning itself to help clients navigate rapid market disruptions. Chairperson Sanjeev Krishan emphasised the firm’s goal of building a “future-ready workforce,” with investments in upskilling, women in leadership, and inclusive career growth from entry-level to the boardroom. PwC India will allocate 1% of its revenues to learning initiatives while expanding its presence in Tier 2 and Tier 3 cities to support decentralised economic growth and align with the government’s vision of self-reliant local economies. Recruitment will focus on sector-specific and digital expertise, with growth anchored in six priority sectors: financial services, healthcare, industrial manufacturing, automotive, technology, media, and telecom. Additionally, the company will explore emerging “horizon sectors” to secure an early strategic foothold. Source: PTI

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TCS to Lay Off Over 12,000 Employees Amid AI Disruption and Economic Pressures

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In a landmark decision, Tata Consultancy Services (TCS), India’s largest IT services provider and the crown jewel of the Tata Group, is set to let go of 12,261 employees — nearly 2% of its global workforce — making it the biggest layoff in the company’s history. The move comes as TCS navigates a rapidly evolving technology landscape marked by AI-driven disruption, weakening demand, and global economic headwinds. The company, which had a workforce of over 610,000 as of June, is restructuring to align with new business realities. Historically, workforce reduction at TCS has been modest — for instance, in FY15, the firm cut about 3,000 jobs, roughly 1% of its employee base. This latest wave of layoffs will largely impact mid- to senior-level professionals, particularly those who cannot be transitioned into new roles within the organization. The restructuring signals a major pivot for TCS, as it intensifies its focus on automation and AI to remain competitive in an increasingly margin-sensitive market. “This transformation is about preparing TCS for the future,” CEO K Krithivasan noted in an internal communication. “While such changes are essential for our continued growth, we recognize the challenges it brings to our colleagues. We deeply appreciate their contributions and will support them through this transition.” Analysts say the decision reflects a broader industry trend. Phil Fersht, CEO of HfS Research, highlighted that AI is significantly disrupting the traditional, manpower-heavy IT services model. Clients are also pushing for steep cost reductions — sometimes as much as 20-30% — compelling firms like TCS to reevaluate their cost structures. The trend isn’t isolated to TCS. Other Tata Group companies such as Tata Motors and Tata Steel have also undertaken job cuts in recent years to streamline operations and boost profitability. In 2019, Tata Steel cut 3,000 positions in its European business. This move by TCS underscores the shifting priorities within the IT industry, where future-readiness increasingly hinges on agility, automation, and leaner operations. Source: Economic Times

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