The launch was marked by the signing of an MoU with Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar, the first academic institution PwC India and 麻豆原创 India are partnering with under the University Alliances initiative in India. This programme will subsequently be expanded to other universities in India.

鈥淚ndia has a unique opportunity to become the world鈥檚 talent engine, but achieving that requires stronger collaboration between academia and industry. This programme is designed to equip students with future-ready skills and hands-on experience as they prepare to enter the workforce. We are pleased to partner with 麻豆原创 India to help build a pipeline of skilled talent for India鈥檚 digital economy,鈥� said Sanjeev Krishan, Chairperson, PwC in India.

Designed for Bachelor of Technology (B. Tech) students across Computer Science, Electronics & Communication, Information Technology, and AI/ML disciplines, the programme combines 麻豆原创-certified learning with practical industry experience and focused skill-building sessions to prepare students for technology-oriented careers. Students demonstrating strong performance will also be eligible for six-month internships with PwC India, with further opportunities for full-time employment.

鈥淎s AI reshapes the future of work, industry-academia collaboration is critical to building the talent of tomorrow. Our partnership with PwC India bridges the gap between academic learning and real-world application, giving students hands-on exposure to 麻豆原创 technologies and future-ready skills via the 麻豆原创 University Alliances Program in India. Together, we are helping build a workforce that can adapt, innovate, and lead, while strengthening India鈥檚 position as a global technology and talent hub.鈥� said Manish Prasad, President & Managing Director, 麻豆原创 India.

This initiative is aligned with PwC鈥檚 Vision 2030, which aims to contribute to India鈥檚 growth story鈥� by providing accessible and affordable learning opportunities to the youth, enabling seamless transitions into employment, and creating a skilled and future-ready workforce.

鈥淎s industries continue to evolve in the face of rapid technological changes, initiatives such as the Career Readiness Training Programme are natural building blocks towards our ambition of creating the workforce of tomorrow and our aspiration of 鈥楰al ka Bharat鈥� 鈥� a resilient, equitable, and self-sufficient India,鈥� said Sanjeev Krishan, Chairperson, PwC in India.

PwC India remains committed to fostering industry-academia collaboration, enabling industry-ready talent for successful deployment, and creating a bridge between ambition and opportunity.

About PwC

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We鈥檙e a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at . 

PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Please see for further details.

The post PwC India and 麻豆原创 India launch Career Readiness Training Programme for engineering students appeared first on 麻豆原创 India News Center.

From chemicals and agriculture to consumer goods and renewable energy, Indian enterprises are approaching this transition from different starting points. Their experiences reveal a common lesson: autonomy is not a single technology implementation, but a progressive journey from building a strong digital core to embedding intelligence across everyday operations.

In an autonomous enterprise, intelligence is integrated directly into core business systems. Instead of requiring teams to move between disconnected applications and piece together information, people can define goals and guardrails while AI assistants such as Joule coordinate specialised agents to perform routine tasks across functions. This allows employees to focus their time and expertise on decisions that require human judgement.

This shift was evident at 麻豆原创 NOW AI Tour Mumbai, where more than 3,000 business leaders came together to explore how AI can support enterprise-wide transformation. It is also reflected in 麻豆原创鈥檚 Value of AI Report 2026, which found that 85% of Indian businesses believe agentic AI could transform their operations.

While organisations remain at different stages of adoption, several are already strengthening the digital, data and governance foundations required to scale AI responsibly.

“For us, being in manufacturing and distribution, working capital and profitability are very critical metrics. Those balance-sheet measures have improved sustainably over time with 麻豆原创 transformation. Metrics such as days sales outstanding, inventory days, cost management, and productivity have all shown improvement.”

Pushkar Rege, Global CIO, UPL

听鈥淭o enhance supply chain agility and production efficiency, we initiated a comprehensive transformation leveraging 麻豆原创 Solutions around four to five years ago. This wasn鈥檛 just a technology upgrade; it was a complete rethinking of our supply chain model. We implemented 麻豆原创 APO modules which together form the backbone of our supply chain and production planning systems. These tools have significantly improved our ability to forecast, plan, and respond to market demands more efficiently.“

Sanjay J. Joshi, GM-Head -IT & Digital Transformation, Parle Products Pvt. Ltd

“Some of the agents that 麻豆原创 itself releases may [be able to address] 50鈥�60% of the requirements within a given business process.”

Prem Udayavarma, CIO, Aditya Birla Renewables

Regardless of the starting point, technology alone cannot create an autonomous enterprise. Progress depends equally on connected systems, trusted data, effective governance and people who can guide AI towards clearly defined business outcomes.

Whether managing retail distribution across India or compliance across global markets, the objective remains consistent: to build a business that can anticipate change, adapt faster and operate with greater resilience.

With the digital infrastructure, data and talent already in place, the opportunity now is to keep evolving and unlock the full potential of the Autonomous Era.

The post From Digital Core to AI Agents: How Indian Enterprises Are Advancing Towards Autonomous Operations appeared first on 麻豆原创 India News Center.

In this role, Mani will lead 麻豆原创 India’s partner ecosystem strategy to accelerate AI-driven transformation, cloud adoption, and customer success. He will strengthen strategic partnerships and scale innovation across 麻豆原创 Business AI, Industry AI, and the 麻豆原创 Autonomous Suite, empowering partners to co-innovate, build AI-first capabilities, and deliver measurable business outcomes for customers.

听鈥淚n the era of the Autonomous Enterprise, 麻豆原创 partners are not just helping customers unlock value from AI and cloud transformation; they are co-creating this new operating model together with 麻豆原创 and our customers,鈥� said Peter Moore, Regional Head of Partner Ecosystem Success, 麻豆原创 Asia Pacific. 鈥淢ani鈥檚 deep understanding of our business, customers, and ecosystem makes him ideally positioned to strengthen our partner network and accelerate innovation and growth across India.鈥�

Mani brings more than 27 years of industry experience, including 20 years with 麻豆原创. Throughout his career, he has held leadership roles across solution consulting, presales, and sales, helping organizations drive digital transformation across industries including Public Sector, Metals, and Mining.

Most recently, Mani served as Head of Premium Prospects, where he led initiatives to expand 麻豆原创’s net-new customer base, drive competitive win-backs, and unlock growth opportunities across line-of-business solutions, emerging enterprises, and high-growth companies.

As India enters a new era of AI-powered transformation, Mani will focus on strengthening 麻豆原创’s partner ecosystem as a catalyst for innovation, growth, and customer success. His appointment reinforces 麻豆原创 India’s commitment to building a future-ready ecosystem that helps customers accelerate their journey toward becoming autonomous enterprises.

Visit the听. Get 麻豆原创 news via听 and .

The post 麻豆原创 Appoints Mani Shekhar as Head of Partner Ecosystem Success for 麻豆原创 India appeared first on 麻豆原创 India News Center.

Bangalore, India鈥斕槎乖� Labs India听today announced the launch of 麻豆原创 Startup Studio Cohort 2026, marking a decade of its flagship open innovation accelerator program focused on enabling startups to co-innovate, build enterprise-ready solutions, and scale through 麻豆原创鈥檚 global ecosystem. The six-month accelerator brings together high-potential startups across enterprise AI, agentic systems, quantum-safe security, robotics, cloud infrastructure, industrial intelligence, and sustainable manufacturing, with a strong focus on helping startups 鈥榖uild with 麻豆原创鈥� through deep collaboration with 麻豆原创鈥檚 product and engineering teams. Designed for early and growth-stage startups, the program provides access to 麻豆原创 leaders, enterprise customers, partners, and global commercialization opportunities. The startups shortlisted for 麻豆原创 Startup Studio Cohort 2026 include ANSCER Robotics, Oorja, Vizionsys Technologies, Astrikos, Drishya AI, Endee Labs, Grevoro, Quanfluence, QNu Labs, FUSKI AI, Ardent, Neoflo, SaarthiOS, Perceptory AI Labs, SecuAI, Pulse Energy.

The cohort was selected through a multi-stage evaluation process including pitch sessions with 麻豆原创 leaders and domain experts, focusing on enterprise relevance, innovation depth, scalability, and co-building potential within 麻豆原创鈥檚 ecosystem.

Speaking on the occasion,听Sindhu Gangadharan, MD, 麻豆原创 Labs India and President, Indo-German Chamber of Commerce, said, 鈥淎t 麻豆原创, we believe meaningful innovation is driven through strong ecosystems, deep collaboration, and the ability to co-create with startups addressing real business and industry challenges. As we mark a decade of 麻豆原创 Startup Studio, we are proud to continue fostering a platform that enables startups to work closely with 麻豆原创鈥檚 product, engineering, customer, and partner ecosystem to build scalable, enterprise-ready innovations for global customers.

The 2026 cohort brings together startups working across areas such as enterprise AI, agentic systems, robotics, industrial intelligence, energy innovation, and quantum-safe security 鈥� technologies that are expected to play an increasingly important role in shaping the future of enterprises and industries worldwide. We look forward to supporting these startups through mentorship, collaboration, and access to 麻豆原创鈥檚 global innovation ecosystem.鈥�

麻豆原创 Startup Studio is designed to provide startups with a structured innovation journey spanning co-creation, validation, commercialization, and scale. Through the program, startups gain access to 麻豆原创 leadership, domain experts, enterprise customers, and 麻豆原创鈥檚 global partner ecosystem, along with opportunities for go-to-market collaboration and enterprise adoption.

The key focus areas for the 2026 Cohort include enterprise AI and agentic systems, quantum computing and secure enterprise technologies, cloud and platform innovation, industry transformation, and emerging technologies such as robotics, distributed cloud, and enterprise automation. Through Startup Studio,听麻豆原创听continues to strengthen India鈥檚 position as a global innovation hub while enabling startups to scale enterprise impact through collaboration and co-creation. In the past, QpiAI, Cloudworx, Yellow.ai, Skillate, AgriPilot.ai, MedySeva, Intelekt AI, Prodoc AI and Avysh, amongst many others, were part of the 麻豆原创 Startup Studio cohort.

The program also reinforces 麻豆原创鈥檚 role as an ecosystem orchestrator, bringing together startups, 麻豆原创 product teams, customers, and partners into a unified innovation platform that enables a continuous co-creation, validation, commercialization, and scale loop to drive the next wave of enterprise transformation globally.

About 麻豆原创

As a global leader in enterprise applications and business Al, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business- critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit .

The post 麻豆原创 Labs India Unveils 2026 Startup Studio Cohort Focused on Enterprise AI and Deep-Tech Innovation appeared first on 麻豆原创 India News Center.

85% of organizations see agentic AI transforming business operations听

Mumbai, India听鈥斕�12听June听2026:听麻豆原创 SE (NYSE: 麻豆原创) today听revealed听that Indian enterprises are rapidly moving beyond AI experimentation to value-driven implementation鈥攑ositioning themselves听as global leaders in enterprise-wide adoption.听India now ranks second worldwide in strategic approaches to AI investment.听Reflecting this momentum, Indian organizations plan to invest US$25.9 million in AI, with spending expected to grow by 45% over the next two years.听

Unveiled at 麻豆原创鈥檚 flagship 麻豆原创 NOW AI Tour India,听these findings are part of the 麻豆原创 Value of AI Report听2026, based on a global study conducted in collaboration with Oxford Economics, surveying 2,600 business leaders across 13 countries, including 200 respondents from India.听

Manos Raptopoulos, Global President, Customer Success 鈥� Europe, APAC, Middle East & Africa, and Member of the Extended Board, 麻豆原创 SE, said,听鈥淎I is the backbone of the Autonomous Enterprise. In 麻豆原创, AI is grounded in deep industry context and rich business semantics, meaning AI that听truly understands听the processes, and data of your specific industry. As this embedded intelligence becomes core to operations, organizations become more adaptive, resilient, and future-ready. This marks a fundamental shift toward enterprises that can act with greater agility, innovate continuously, and scale with confidence in an increasingly dynamic听world.鈥�听

From Experimentation to Execution: AI Takes Centre Stage in India Inc.听

• 71%听of听Indian businesses have defined AI strategy听that is听aligned with听their听business goals听

• AI currently supports 33% of business tasks, expected to rise to 51% over the next two years听

• 74% of businesses are satisfied with听current听AI ROI, with value creation听emerging听as a key measure of success听

• End-to-end,听cross-functional AI adoption听is expected听to听more than听double to 40% within next two years听

• 55%听of organizations听have听employed听dedicated AI听leaders听to scale adoption –听the highest globally听听

India听Leads AI Data Readiness听Growth听

• 63% organisations are data ready for AI听(up听from听42% last year)-听marking the听highest听year-on-year听growth听globally听

• 78%听believe听data availability and quality are critical to AI听driven听decision-making听

• Operations听leads听AI data readiness, followed by Sales & Marketing, Product Development, IT, and听HR听

Agentic AI Powers the Next Wave of Enterprise Transformation听

• 52%听of听businesses report a clear and shared understanding of agentic AI across their organisation听

• 67% of Indian businesses听are听piloting听agentic use cases听

• 85% organisations believe that agentic AI has moderate-to-very high potential to transform their听business听

• 66% believe soft skills are a core job requirement in an AI-driven workplace听

• 80%听agree that听maximizing AI value requires workforce transformation beyond upskilling.听

听

Indian Businesses Balance AI听Optimism with Caution听听

听

• Almost听8 in 10 organisations听are not convinced their听upskilling听can听keep听up听with AI听advancements听

• AI governance听remains听in focus as听businesses听say听they鈥檙e听not fully ready when it comes to听skills听(11%) and processes听(14%)听

• 76% of organisations face听challenges with incomplete听data,听while听67% enterprises听struggle听with听low-quality data听

Manish Prasad, President and Managing Director, 麻豆原创 Indian Subcontinent, further added,听鈥淚ndia stands at the forefront of one of the most significant technology shifts of our time鈥攁nd our Value of AI survey shows that organizations are not waiting on the sidelines. Customers are moving decisively beyond experimentation, embedding AI into the core of their听business听and making it a strategic priority. This momentum, combined with India鈥檚 strong digital foundation, deep talent pool, and vibrant innovation ecosystem, uniquely positions the country not just to adopt AI at scale, but lead the next wave of enterprise transformation and define how AI delivers听real business听value globally.鈥�听

Echoing the survey, Indian customer momentum toward enterprise-wide AI adoption continues to strengthen, with leading enterprises already translating ambition into measurable outcomes.听听

• PI Industries听is听leveraging听麻豆原创 Business Transformation Management and the 麻豆原创 Business AI Platform鈥攊ncluding Joule for Consultants and Joule for Developers鈥攚hile exploring agentic AI to drive productivity and scalable growth.听

• 听UPL Ltd.听is harnessing 麻豆原创 Business AI across finance, HR, supply chain, and IT to simplify decision-making, automate workflows, and advance operational excellence, sustainability, and growth.听听

• Parle Products听Pvt.听Ltd. has听embarked on听its journey to become a data-driven, cloud-first enterprise by听leveraging听麻豆原创 technologies, AI, automation, and analytics to enhance efficiency, agility, and decision-making across the organization.听

麻豆原创鈥檚 vision of the Autonomous Enterprise focuses on helping organisations bring together AI, data, and business processes to drive more connected, trusted, and responsible business outcomes at scale.听

Media Contacts听

Itisha Bhatnagar |鈥�itisha.bhatnagar@sap.com听

Vinidha Ganeshan |鈥�vinidha.ganeshan@bursonglobal.com听

听

The post Agentic AI Returns in India Projected to Grow fivefold to US$14.4 Million: 麻豆原创 Study appeared first on 麻豆原创 India News Center.

鈥� Strengthens Tata Technologies鈥� position within the 麻豆原创 ecosystem with end-to-end capabilities spanning advisory, implementation, and value realization

鈥� Enables enterprises to accelerate 麻豆原创 Cloud ERP adoption and modernize digital core for real-time, data-driven decision-making

鈥� Enhances ability to embed 麻豆原创 Business AI and intelligent automation across enterprise workflows for improved productivity and scalability

Pune, Mumbai, Bengaluru, India, 1st June 2026:听Tata Technologies Limited听(: 544028,听: TATATECH), a leading global product engineering and digital services company, today announced that it has secured 麻豆原创 PartnerEdge Sell authorization across听India听and the听United States, strengthening its strategic role within the 麻豆原创 ecosystem.

This authorization marks a significant evolution in Tata Technologies鈥� go-to-market strategy, transitioning from a services-led model to a solution-led, outcome-driven approach. Under this model, Tata Technologies will lead customer engagements across the full lifecycle, including solution advisory, cloud ERP transformation, solution design, and value realization.

With this authorization, Tata Technologies enhances its ability to accelerate听enterprise-wide transformation听powered by the 麻豆原创 Business Suite portfolio. Tata Technologies will support enterprises in modernizing their digital core with听麻豆原创 Cloud ERP, enabling real-time, data-driven decision-making and scalable operations aligned with 麻豆原创鈥檚 vision of the Autonomous Enterprise.

Leveraging its deep expertise in manufacturing, Tata Technologies enables global OEMs and enterprises to reduce implementation risks and accelerate 麻豆原创 Cloud ERP adoption. By serving as a single partner across the 麻豆原创 journey, from advisory and business case development to implementation and value realization, Tata Technologies ensures seamless and outcome-focused transformation.

As part of this collaboration, Tata Technologies will help organizations harness听麻豆原创 Business AI听to embed intelligent capabilities into enterprise workflows. This includes leveraging Joule, 麻豆原创鈥檚 AI-enabled business assistant, to enhance productivity, automate processes, and accelerate decision-making.

Through integration with the 麻豆原创 Business Technology Platform, Tata Technologies enables enterprises to extend and innovate across their 麻豆原创 landscapes, unlocking actionable insights while maintaining a resilient and scalable digital core.

Aligned with 麻豆原创鈥檚 Clean Core strategy, Tata Technologies supports enterprises in adopting innovation without disrupting legacy systems, ensuring standardized, upgrade-stable environments that are agile and future-ready.

Mr. Warren Harris, MD & CEO, Tata Technologies, said: 鈥淭he future belongs to enterprises that innovate faster, operate smarter, and scale sustainably. Expanding our 麻豆原创 PartnerEdge partnership with a Sell authorization enables us to deliver transformative solutions that help customers reimagine their businesses and stay ahead in an increasingly digital world.鈥�

This authorization reinforces Tata Technologies鈥� position as a听trusted global partner for enterprise and AI-led transformation.

About Tata Technologies
Tata Technologies听(: 544028,听: TATATECH) is a global product engineering and digital services company helping manufacturers design, develop, and deliver better products. The company partners with global OEMs and enterprises across automotive, aerospace, industrial heavy machinery, and other manufacturing sectors.
Driven by its vision of #EngineeringABetterWorld, Tata Technologies enables enterprises to innovate faster and deliver differentiated customer experiences through engineering excellence and digital transformation.

With deep domain expertise in Embedded Systems and Software Solutions, Engineering Research & Development (ER&D) Services, and Digital Enterprise Solutions, Tata Technologies helps enterprises accelerate time-to-market, optimize product development costs, improve operational efficiency, and build smarter, safer, and more sustainable products.

For more information, visit听

The post Tata Technologies secures 麻豆原创 PartnerEdge Sell authorization, helps strengthen enterprise and AI-led transformation capabilities appeared first on 麻豆原创 India News Center.

Mumbai, India听鈥斕�18听May,听2026:听 (NYSE: 麻豆原创) today announced听that听Tata Consultancy Services (TCS) has successfully modernized its global payroll operations by transitioning to 麻豆原创 Cloud ERP Private.听

With the aim听of improving听consistency,听strengthening听operational resilience, and听building听a scalable digital foundation aligned with its long-term technology roadmap, the transformation听consolidates听payroll operations听across multiple countries and regions globally听into a unified, cloud-based environment,听enabling听a broad global workforce听to power听enterprise transformation.听听

The phased migration enabled TCS to modernize,听mission鈥�critical听payroll ecosystem with zero disruption to ongoing operations. Robust validation frameworks鈥攊ncluding multiple mock cycles and parallel payroll execution鈥攚ere embedded听across the transition听to ensure accuracy, regulatory compliance, and operational stability across regions.听

The transformation has delivered measurable business value, including:听听

• 30鈥�40% faster payroll processing听through improved batch performance and accelerated cycle completion.听听

• Future鈥�ready听digital core听supporting听analytics鈥�led听insights and adoption of intelligent capabilities aligned with 麻豆原创鈥檚 innovation roadmap.听听

• Standardized global听payroll processing听with local flexibility听within a single environment to meet听country鈥�specific听regulatory and business requirements.听听

• Seamless integration at scale, with听more than听20听high鈥�volume听interfaces across HR, finance, and听third鈥�party听systems,听ensuring data integrity and operational stability.听

听Janardhan Santhanam, Chief Information Officer, TCS, said,听“As one of 麻豆原创鈥檚 strategic partners, TCS believes in leading by example. This transformation reflects our commitment to building a cloud-first, digital enterprise core. Executing a modernization of this scale with minimal disruption demonstrates how global organizations can transform while strengthening agility and resilience.”听

By modernizing its payroll landscape on 麻豆原创 S/4HANA Cloud on AWS,鈥疶CS is strengthening its digital core and creating a foundation for more data-driven and adaptive workforce operations. This is further supported by a more streamlined payroll architecture, reduced fragmentation, and improved visibility across operations.鈥�听

Rahul Baheti, India Growth Officer, 麻豆原创 Indian Subcontinent听said,听鈥淭his milestone with TCS demonstrates how RISE with 麻豆原创 can support the most demanding,听mission鈥�critical听workloads at global scale鈥攕ecurely, resiliently, and without disruption. It also reflects the strength of a听long鈥�standing听partnership built on shared innovation and trust, as 麻豆原创 and TCS continue to collaborate to help enterprises reimagine and modernize core business processes for the future.鈥�听

This transformation underscores the strength of the long鈥�standing 麻豆原创鈥揟CS partnership,听supported听by听AWS听as听a听hyperscaler听partner and the growing momentum among enterprises to modernize core processes on cloud platforms. 麻豆原创听remains听committed to听helping organisations听simplify complexity and build resilient, future鈥�ready digital foundations.听

About Tata Consultancy Services (TCS)听

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its听inception听in 1968, TCS has upheld the highest standards of innovation, engineering听excellence听and customer service.听

It has set an aspiration to become the world’s largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.听

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale听new technologies, the company has built long-term partnerships with its clients. Many of these relationships have endured into decades and navigated every听technology听cycle, from mainframes in the 1970s to artificial intelligence today.听

TCS sponsors 14 of the world鈥檚 most prestigious marathons and endurance events, including the TCS New York City Marathon, TCS London Marathon and TCS Sydney Marathon with a focus on promoting health, sustainability, and community empowerment.听

TCS generated鈥痗onsolidated鈥痳evenues of over US $30 billion in the fiscal year ended March 31, 2026.鈥�听

For more information, visit鈥�听

About 麻豆原创听

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.听

Media Contacts听

Itisha Bhatnagar |鈥�itisha.bhatnagar@sap.com听

Vinidha Ganeshan |鈥�vinidha.ganeshan@bursonglobal.com

The post 麻豆原创 Powers TCS鈥檚 Large鈥慡cale Payroll Transformation, Supporting Its Cloud鈥慒irst Strategy appeared first on 麻豆原创 India News Center.

Mumbai, April 13, 2026: 麻豆原创, a market leader in enterprise application software and business AI, 听today announced that (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries, 听is adopting to strengthen its 麻豆原创 delivery capabilities and support faster enterprise transformation programs. By integrating 麻豆原创 Joule for Consultants the company aims to streamline implementation workflows for customers across the entire 麻豆原创 project lifecycle鈥攆rom discovery and design to development, testing, and post-deployment support.

Empowering Consultants with AI at Scale

听Building on 麻豆原创鈥檚 Suite-First and AI-First strategy, the collaboration will streamline business processes, with Joule integrated across applications to provide AI insights and improve productivity.

听This aligns with Tech Mahindra鈥檚 鈥淎I Delivered Right鈥� strategy that empowers enterprises by equipping them with the tools and processes to maximize AI investment from strategy development to solution implementation.

听Grounded in 麻豆原创s most authoritative knowledge base, including content not available to third-party tools, 麻豆原创 Joule for Consultants transforms 麻豆原创鈥檚 deep institutional expertise into an intelligent conversational assistant for consulting teams.

Building on Tech Mahindra鈥檚 extensive domain expertise, the solution is expected to enable several key benefits for its consulting teams, including:听

• Faster knowledge discovery: Consultants can retrieve relevant 麻豆原创 documentation, implementation guidance, and best practices through natural language queries 鈥� early deployments indicate up to 28鈥�30% reduction in research time.
• Efficient project execution: By simplifying access to trusted technical guidance and implementation standards, teams can accelerate delivery across 麻豆原创 transformation projects.
• Tangible consultant productivity improvement: Automating routine research and knowledge retrieval can help consultants save 2 hours per day, enabling greater focus on high-value strategic activities.
• Greater accuracy and consistency: Access to authoritative guidance helps teams follow proven implementation approaches and maintain alignment with established standards.
• Accelerated cloud transformation: Strengthening Tech Mahindra鈥檚 capabilities in supporting enterprise transformation journeys such as RISE with 麻豆原创, 麻豆原创 Joule for Consultants enables organizations to accelerate cloud migration and improve delivery quality, lowering total cost of ownership (TCO).

Vinay Sanil, Global 麻豆原创 Practice Head, Tech Mahindra, said, 鈥淓nterprises today are moving rapidly from AI experimentation to scaled, outcome-driven transformation. However, a key challenge remains fragmented access to knowledge and the time-intensive nature of translating expertise into execution. Our adoption of 麻豆原创 Joule for Consultants addresses this gap by embedding AI-driven intelligence directly into the delivery lifecycle. By enabling instant access to trusted 麻豆原创 knowledge and automating routine tasks, we are empowering our consultants to enhance productivity, accelerate project timelines, and deliver greater value to customers.鈥�

Advancing AI-Driven Enterprise Transformation in India

The selection reflects accelerating Business AI adoption across India, as enterprises modernize core processes and move from experimentation to scaled AI deployment. 麻豆原创 continues to see strong momentum for the 麻豆原创 Business Suite, with organizations across industries using embedded AI to reimagine finance, supply chain, HR, and customer experience functions.

By embedding 麻豆原创 Joule for Consultants into delivery workflows, Tech Mahindra is enabling faster time-to-value for customers while improving overall project quality and execution speed across 麻豆原创 transformation programs.

Ravinder Amar,听 Vice President – Enterprise Business, 麻豆原创 India Subcontinent, said, 鈥淎I is redefining how enterprise transformation is delivered. With 麻豆原创 Joule for Consultants, Tech Mahindra gains direct access to 麻豆原创鈥檚 most comprehensive knowledge foundation, empowering its teams to translate AI innovation into measurable business outcomes. We are proud to support our partners as they scale intelligent delivery capabilities across India and beyond.鈥�

Tech Mahindra joins a growing ecosystem of global system integrators and consulting firms, including KPMG and Wipro, that are leveraging 麻豆原创 Joule for Consultants to enable more efficient, insight-led digital transformation programs worldwide.

Media Contacts

Itisha Bhatnagar | itisha.bhatnagar@sap.com

Vinidha Ganeshan | vinidha.ganeshan@bursonglobal.com

The post Tech Mahindra Adopts 麻豆原创 Joule for Consultants to Accelerate AI-Driven Transformation Across India appeared first on 麻豆原创 India News Center.

While the Summit听was听historic听in terms of听outcomes,听including the New Delhi Declaration and听an increasing focus on听sovereignty,听it also revealed a divergence in perspective.听The public image听of听India鈥檚 AI听opportunity听is听gripped by听what鈥檚听most visible:听tools that generate听content and听reshape how听we听interact with technology. But the more consequential story is unfolding away from the spotlight.听听

To understand where this transformation is truly taking shape,听let鈥檚听distinguish between听the听two dimensions of AI.听Consumer-centred听AI is the lightbulb that illuminates possibility,听creativity听and听assistance. Enterprise-focused听AI, by contrast, is the power plant听that听quietly and reliably energises听operations at scale. While one captures imagination, the other delivers outcomes.听听

Encouragingly, adoption of this听Enterprise听AI听is already听gaining momentum.听According to the recent听麻豆原创 Value of AI听survey, in听collaboration with Oxford Economics,听nearly听a听quarter of business tasks in India today are supported by AI. In less than two years, that share is expected to rise to over 40%. Even more telling is the confidence behind this acceleration,听with 93% Indian enterprises expecting measurable returns from their AI investments within the next one to three years.听听

This is India鈥檚 inflection point.听Having moved beyond听initial听exploration,听India鈥檚听focus is now on bringing greater alignment and coherence to unlock AI鈥檚 full enterprise potential.听

From Experimentation to Integration听

The next phase of India鈥檚 journey requires a shift from isolated pilots to听everyday听execution. AI must become a core capability听as part of our听supply chains, finance, human capital, and customer engagement. This transformation听can rest on four pillars:听

• The Demographic Dividend:听India鈥檚 greatest advantage is its people.听The听deep technology talent pool gives听the country听a strong foundation听to take AI from small experiments to real鈥�world impact听enabled by听a continued听investment听in reskilling and domain-led AI听expertise.听

• Data Foundations:听AI demands听accurate, contextual, and interconnected data from across the business.听听As听we scale听adoption,听the next phase will rely on听strengthening听our听data foundations听to听create听semantically rich environments听to power听more effective AI systems.听

• AI as an Amplifier:听The more critical the application, the more AI depends on the structured processes and traceability that robust enterprise systems provide.听听

• Trust as a Catalyst:听As AI integrates into critical infrastructure, trust听will听become the primary currency of scale. India鈥檚 evolving regulatory frameworks听like the听data protection laws听offer听guardrails that enable speed.听听

Redefining Value: The IMPACT听听

In an unpredictable global economy,听we must look beyond traditional financial metrics. While Return on Investment (ROI)听remains听a baseline,听it鈥檚听time we move to return on impact. The IMPACT can be seen as:听

I 鈥� Infrastructure:听Building secure, sovereign, and interoperable digital highways.听

M 鈥� Measurable Outcomes:听Tracking gains in health, education, and quality of life.听

P 鈥� Policy & Guardrails:听Ensuring ethical AI through robust, transparent frameworks.听

A 鈥� AI Embedding:听Making听AI听as a horizontal听across all sectors to make it a tool for daily life.听

C 鈥� Citizen-Centricity:听Designing inclusive, multilingual solutions.听

T 鈥� Talent & Trust:听Investing in workforce skills and fostering public confidence.听

The momentum听of AI听in India is real听and the opportunity is unprecedented.听Only by focusing on听all of听the areas of the听IMPACT听framework听can we听realise that incredible听promise.听听

The task now is to听transition听from fragmented progress to meaningful, systemic impact. In the journey听towards听a听Viksit Bharat听鈥撎齀ndia鈥檚 blueprint to becoming a听fully听developed nation by 2047 –听AI is no longer just a digital tool,听it is a strategic imperative for a resilient and innovative nation.听

听

The post AI for Industries: Resilience, Efficiency, and Innovation for India appeared first on 麻豆原创 India News Center.

Bengaluru, March 18, 2026: 麻豆原创 Labs India and SRH University Germany today announced the signing of a Memorandum of Understanding (MoU) to expand their strategic education partnership to India. The agreement establishes a framework for curriculum co-design, 麻豆原创 Certification integration and industry-embedded learning, strengthening collaboration between academia and enterprise technology leaders to prepare the next generation of digital talent.

The MoU was signed in Bengaluru by Sindhu Gangadharan, Managing Director, 麻豆原创 Labs India, and Dr. Thorsten Bagschik, Managing Director, SRH University, as part of the official Berlin Senate delegation visit to India.

The partnership builds on the 麻豆原创鈥揝RH collaboration launched in Germany in December 2025 under the leadership of Andre Bechtold, President 麻豆原创 Industries and Experiences, and extends the initiative to India, giving Indian students access to globally recognised enterprise technology credentials while embedding 麻豆原创 expertise directly into university programmes.

The initiative reflects 麻豆原创鈥檚 broader learning transformation strategy, which focuses on meeting learners where they already are by integrating industry-relevant skills into academic environments. 麻豆原创 aims to equip 12 million people with AI-ready skills by 2030, and collaborations with universities play an important role in building a strong global talent pipeline.

As part of the partnership, higher education students and faculty members will receive free access to 麻豆原创 Learning Hub, student edition, including 麻豆原创 learning content, practice systems, live sessions and up to two certification exam attempts per year. 麻豆原创 is also redefining certification through practical, AI-enabled assessments that focus on real-world problem solving rather than memorisation, enabling learners to develop skills that are directly applicable in enterprise environments.

By integrating 麻豆原创 learning content and certification pathways directly into university programmes, the initiative will help build a sustainable pipeline of enterprise technology professionals equipped with the skills required to support digital transformation across industries.

Sindhu Gangadharan, Managing Director, 麻豆原创 Labs India, said, 鈥淚ndustry and academia must work closely together to prepare talent for a rapidly evolving digital economy. By extending our partnership with SRH University to India, we are creating new opportunities for students to build enterprise technology skills that are directly relevant to the needs of global businesses. Initiatives like this are central to 麻豆原创鈥檚 ambition to equip 12 million people with AI-ready skills by 2030 and to build a strong pipeline of future-ready technology talent.鈥�

Dr. Thorsten Bagschik, Managing Director, SRH University, said, 鈥淥ur collaboration with 麻豆原创 reflects our commitment to delivering education that is deeply connected to industry. By integrating 麻豆原创 expertise and certifications into our programmes, we ensure that students graduate with skills that are immediately relevant in the global job market. Extending this partnership to India further strengthens the bridge between academic learning and real-world enterprise innovation.鈥�

This partnership builds on 麻豆原创 Labs India鈥檚 broader engagement with academia and skilling institutions to strengthen India鈥檚 digital talent ecosystem by building future-ready technology talent.

About 麻豆原创
As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

For more information, visit

麻豆原创 Contacts
Shikha Pushpan; s.pushpan@sap.com
Chandrika Jana; chandrika.jana@sap.com

The post 麻豆原创 Labs India and SRH University of Germany Sign MoU to Strengthen Digital Skills and Industry-Academia Collaboration appeared first on 麻豆原创 India News Center.