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

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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

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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

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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

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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

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Unveiled at 麻豆原创鈥檚 flagship event, TechEd 2025, the Value of AI Report 2025, in collaboration with Oxford Economics, surveyed 1,600 senior business leaders across eight countries, including 200 respondents from India.

Organisations are already realizing tangible value from AI, with Indian businesses reporting an average return on investment (ROI) of 15% from AI initiatives in 2025, projected to reach 31% within just two years. Fuelling this momentum, businesses across the country are investing US$31 million in AI this year 鈥� outpacing the global average 鈥� with focussed spending on software, infrastructure, talent, and consulting.

鈥淎I is transforming how businesses operate, not just by automating tasks, but by enabling smarter, faster decisions across mission-critical processes,鈥� said Philipp Herzig, Chief Technology Officer, 麻豆原创 SE. 听鈥淎t 麻豆原创, we combine trusted business data with AI that reasons, acts, and learns 鈥� helping organizations tackle complex challenges in finance, HR, and supply chain with confidence. The real value of AI emerges when innovation meets execution, making intelligent systems a seamless part of how businesses run.鈥�

Key findings from the report:

Indian organizations are turning AI into measurable business value

• Indian businesses are investing US$31 million in AI across IT, infrastructure, talent, and consulting, ahead of the US$26.7 million global average.
• Organizational investments in AI are projected to rise by an average of 33% over the next two years. That investment is expected to drive ROI of 15% this year (an average of US$5.7m), which is expected to double in two years鈥� time to 31% ($15.3m).
• 56% are satisfied with current ROI on AI, and 58% expect AI initiatives to deliver positive ROI faster than other technology investments 鈥� the highest globally.

India鈥檚 Focus on AI Deepens, Driving Data-Led Growth and Impact

• Majority of businesses expect AI to be central to business processes, decision making, and customer offerings by 2030 with only 3% saying otherwise.
• Most businesses are scaling AI automation and experimenting with generative AI leading to AI supporting 23% business tasks today, rising to 41% in 2 years.
• AI has helped 36% of businesses address key challenges, driving better insights (44%), greater innovation (37%), and stronger customer engagement (36%).
• 78% are integrating AI into workforce planning through upskilling and reskilling to enable an AI-powered future.

Challenges to AI Adoption in India

• AI adoption remains fragmented, with 48% organisations reporting piecemeal investments and 27% pursuing department-led initiatives.
• AI skills remain a barrier to scale, with 64% organisations citing incomplete, comprehensive AI training.
• 67% of organizations remain concerned about shadow AI, with risks across inaccurate outputs (63%), data leakage (53%), security vulnerabilities (42%), and compliance violations (34%).
• While 42% of businesses report adequate data readiness for AI, more than half remain unsure about sharing and integrating data internally (52%) or with external partners (51%).

The Agent-Enabled Future of Business Transformation

• In the next two years, Indian businesses expect ROI of 7% (approximately听US$2.8 million) from agentic AI
• 85% of Indian businesses rate AI agents as having moderate to high potential to transform operations with 50% agreeing that AI agents can add significant value to their business by managing complex workflows across business units.
• 49% businesses believe Agentic AI will significantly influence their strategic planning in the next two years.

Indian enterprises are driving real business outcomes by adopting AI. , a leader in the building materials industry, has cut procurement processing time by nearly 50% using 麻豆原创 Business AI and data cloud, and is now scaling these efficiencies across departments. Similarly, , a global technology player in electrification and automation, is boosting productivity in the industrial sector by streamlining workflows with automation and gaining real-time insights through the Joule copilot鈥攁ll powered by 麻豆原创 Business AI. Advancing this momentum, a leading technology services and consulting company is leveraging 麻豆原创 Joule for consultants to harness generative AI and help clients worldwide drive secure, resilient, and sustainable growth.

鈥淎I is central to how businesses create value. With over 600,000 professionals, India accounts for 16% of the global AI talent pool, making it a true AI powerhouse. This depth of digital talent is enabling enterprises to shift from pilots to performance embedding AI into decisions, operations, and customer experiences. At 麻豆原创, we see this as a pivotal moment to partner with Indian businesses, combining trusted data, embedded intelligence, and world-class talent to drive sustainable growth.鈥� said Sindhu Gangadharan, MD, 麻豆原创 Labs India and Head, 麻豆原创 Customer Innovation Services, 麻豆原创.

In a fast-changing business landscape, AI is already delivering real value 鈥� and the potential ahead is even greater. Innovations like Agentic AI are driving efficiency, agility, and growth. At 麻豆原创, we unlock AI鈥檚 full potential by combining mission-critical applications, trusted data, and embedded intelligence. Together, they create a flywheel of continuous improvement and long-term performance.

Explore how 麻豆原创 Business AI can deliver ROI for your business .

Visit the听. Get 麻豆原创 news via听 and .

For more information, press only:

Itisha Bhatnagar, +91 9654524719; Itisha.bhatnagar@sap.com

Priyanka Jain, +91 9811408100; priyanka.jain@bursonglobal.com

麻豆原创 麻豆原创 Room; press@sap.com

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麻豆原创, a leader in enterprise applications and business AI, became Europe鈥檚 largest company by market capitalisation this year. Since its inception in 1996, 麻豆原创 Indian operations have played a significant role in supporting growth and innovation across sectors. By partnering with leading organizations such as Mahindra & Mahindra, Asian Paints, Wipro Limited, Infosys Limited, Vahdam Teas, Ola, Wakefit, DeHaat, Jaquar, and many others, it has helped drive substantial economic impact nationwide.

Based on analysis of 麻豆原创 customers in India over a 12-month period from March 2024 to March 2025, the most popular AI use cases in India are:

• AI-generated visual insights, summaries, and translations
• AI-assisted process analysis
• Creating sales orders from unstructured data
• Predictive forecasting
• Natural language queries

“In any organisation, it is the profound insights derived from data that fuel mission-critical operations across finance, procurement, supply chain, workforce and beyond,” said Manish Prasad, President and Managing Director, 麻豆原创 Indian Subcontinent. 鈥淲e are empowering our customers as they evolve into intelligent, optimized businesses by embedding AI agents into all aspects of business operations. We are redefining how individuals work and changing the way businesses are run, all developing in India for the benefit of the world.鈥�

AI- 鈥楳ade in India for the world鈥�

India strongly supports 麻豆原创鈥檚 global target of 400 total embedded AI use cases across its portfolio, from over 210 generative AI use cases available today. 麻豆原创 Labs India, the company鈥檚 second largest Research and Development center outside Germany, is responsible for a large part of the development of 麻豆原创鈥檚 AI co-pilot, Joule.

The recent launch of 麻豆原创 Business Cloud introduced new data and AI innovations, helping companies move beyond simple automation, solve the most complex business challenges, and drive enterprise-wide efficiency, agility, and innovation.

Embracing the 麻豆原创 Business AI Advantage: WIPRO

Wipro Limited, a leading technology services and consulting company, revealed it chose 麻豆原创 Joule for Consultants to continue to bring the power of generative AI to empower its clients around the globe to build a more resilient, secure, and sustainable future.

鈥淥ur clients around the world are digitally transforming in the cloud,鈥� said Srinivas Sai Nidadhavolu, Vice President and Global Practice Head of 麻豆原创 at Wipro. 鈥淎s leaders in tech and consulting we have a rich legacy in both data and AI. But even for our internal teams we can embed generative AI to increase productivity through insights, drive more efficiencies by aligning with best practice, and ultimately make customer transformations simpler, quicker, and more effective. By using 麻豆原创 Joule for Consultants, we鈥檙e able to showcase the power of 麻豆原创 Business AI to our customers even while we work with them to make their transformation journeys successful.”

From Complexity to Clarity

麻豆原创 Business AI offerings seamlessly integrate into enterprise systems, empowering customers and enabling business leaders go beyond automation. With the introduction of agentic AI solutions in 麻豆原创 Business Suite, customers can benefit from AI that anticipates needs, adapts in real-time, and accelerates outcomes across business functions such as finance, supply chain, manufacturing, human resources, and customer experience.

麻豆原创 Business AI equips enterprises with the efficiency, agility, and innovation needed to lead across a range of key business processes. AI enables end-to-end process automation to make entire workflows self-driving, from procurement requests to invoice management. It empowers customers to make smarter decisions in real-time through AI agents collaborating across end-to-end processes. And it drives scalable return on investment on AI by harmonizing applications, data, and processes.

鈥淏y shifting the focus from hindsight to foresight, organizations are more easily able to balance risk with strategic growth, close talent gaps, build future-ready teams, and deliver proactive, hyper-personalized customer experiences,鈥� concluded Mr. Prasad.

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麻豆原创 India, in collaboration with Dun & Bradstreet, has released a revealing how Indian start-ups leverage cutting-edge technology to unlock their full potential. According to the findings, over 77% of start-ups invest in advanced technologies such as Artificial Intelligence (AI), ML, IoT, and blockchain. In the age of digital disruption, start-ups in India are proactively integrating advanced technologies to achieve operational efficiency, drive growth, and elevate customer experiences. This trend underscores the rapid technological adoption and innovation across the Indian startup ecosystem, now ranked third globally, following the United States and China.

Another significant aspect of this study is the emergence of Tier II and III cities as innovation hubs, where 40% of tech start-ups originate, leveraging local talent and cost advantages. This tech-driven evolution solidifies India’s global stature as a leading startup powerhouse, supported by robust corporate governance and a conducive regulatory environment.

Announcing the findings of the survey, Sanket Deodhar, Vice President and Head of Digital Natives, 麻豆原创 Indian Subcontinent, said, 鈥淭he Indian startup community stands at an inflection point.听 As companies shift their focus from GMV (Gross Merchandise Value) to GM (Gross Margin) and seek to forge more sustainable business models with the help of transparent, trusted financial data, technology remains a cornerstone and a key differentiator for startups to achieve these business goals, regardless of their growth stage or industry. At 麻豆原创, we understand the power of tech innovation to shape the entrepreneurial ventures of tomorrow and, are thus, committed to helping our customers transform into intelligent, growth-oriented, and sustainable enterprises.鈥�

Key findings from the report:

Capitalizing on advanced technologies builds more value for Indian start-ups

• 79% start-ups believe that adopting Enterprise Applications integrated with new-age technologies such as AI is essential for scaling and improving unit economics, and 72% start-ups aready have or are looking to invest in new-age technologies.
• 85% of start-ups believe unit economics is a clear path to profitability and enhancing valuation.

Rising prominence of Tier II and III cities as innovation hubs

• Tier II and Tier III cities have emerged as innovation hubs, with 40% of total tech start-ups originating from there.
• Cities like Chandigarh, Jaipur, Madurai, Indore, Kochi, Warangal, Hubli, Raipur, Vishakhapatnam, and Guwahati, among others, host 15% of the country’s tech skill pool.
• Tier II and Tier III cities can contribute to substantial cost savings as real estate rentals and talent pool costs are lower here compared to metropolitan cities.

New-age tech adoption is transforming the sector’s growth.

• Agritech: AI-powered drones and IoT devices optimize farming practices, enhancing yields and reducing labour costs.
• Fintech: AI algorithms improve credit scoring and risk assessment, while real-time AI fraud detection ensures robust security.
• EdTech: Advanced technologies like AI, AR/VR, and gamification enhance personalized learning and upskilling.
• Health Tech: Telemedicine and AI/ML provide real-time insights for improved healthcare delivery and operational efficiency.

Enterprise solutions help build robust corporate governance practices necessary for attracting investors and public listings.

• 64% of respondents believe that the adoption of enterprise applications is key to measuring rapidly changing customer behavior and making strategic decisions to scale and improve unit economics.
• 71% of respondents believe that robust corporate governance measures are necessary for attracting investors and preparing for public listing.
• Enterprise solutions can help build robust corporate governance practices to drive accurate and transparent reporting, security, and data privacy and implement enterprise contract management systems.

Speaking about the report, Avinash Gupta, Managing Director & CEO 鈥� India, Dun & Bradstreet, said, “India’s startup ecosystem is thriving, fueled by a favorable regulatory environment, a growing middle class, and a tech-savvy youth population. India ranks third globally in its startup ecosystem with almost 3 lakh start-ups and 113 unicorns across diverse sectors. The government’s supportive policies, ample venture capital, and a talented workforce have contributed to the growth of key sectors. The rising prominence of Tier II and Tier III cities as innovation hubs has further decentralized economic development. As we navigate funding limitations and market volatility, start-ups must focus on unit economics and profitability to build sustainable and profitable enterprises. This report is a deep dive into the current startup ecosystem with strategic insights on evolving dynamics in valuations, aspirations, trends, and the role of technology in their growth journey. ”

The study titled ‘Value Creation and Sustainable Growth: The Blueprint for Startup Profitability in India‘ examines 113 Indian start-ups, showcasing their strategic advancements and investments to enhance competitiveness.

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WALLDORF and SANTA CLARA, Calif.听鈥斕�(NYSE: 麻豆原创) and听听(NASDAQ: NVDA) today announced a partnership expansion focused on accelerating enterprise customers鈥� ability to harness the transformative power of data and generative AI across 麻豆原创鈥檚 portfolio of cloud solutions and applications.

The companies are collaborating to build and deliver 麻豆原创 Business AI, including scalable, business-specific generative AI capabilities inside the Joule copilot from 麻豆原创 and across 麻豆原创鈥檚 portfolio of cloud solutions and applications 鈥� all of which are underpinned by the 麻豆原创 generative AI hub. The generative AI hub facilitates relevant, reliable and responsible business AI and provides instant access to a broad range of large language models (LLMs).

As part of 麻豆原创鈥檚 ongoing initiative to build generative AI directly into the applications that power the world鈥檚 businesses, the partnership aims to help customers adopt generative AI capabilities at scale across their organizations. 麻豆原创 will use听听to fine-tune LLMs for domain-specific scenarios and deploy applications with new听™ microservices. 麻豆原创 and NVIDIA plan to make the new integrated capabilities available by the end of 2024.

鈥淓nterprise customers want to leverage state-of-the-art technology that delivers real business value,鈥� said Christian Klein, CEO and Member of the Executive Board of 麻豆原创 SE. 鈥淪trategic technology partnerships, like the one between 麻豆原创 and NVIDIA, are at the core of our strategy to invest in technology that maximizes the potential and opportunity of AI for business. NVIDIA鈥檚 expertise in delivering AI capabilities at scale will help 麻豆原创 accelerate the pace of transformation and better serve our customers in the cloud.鈥�

鈥溌槎乖� is sitting on a gold mine of enterprise data that can be transformed into custom generative AI agents to help customers automate their businesses,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淭ogether, NVIDIA and 麻豆原创 will bring custom generative AI to the thousands of enterprises around the world that rely on 麻豆原创 to power their operations.鈥�

Harnessing Business Data and Generative AI to Advance Customer Insights

麻豆原创 and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from 麻豆原创, which include the latest release of the 麻豆原创 Datasphere solution, 麻豆原创 Business Technology Platform (麻豆原创 BTP) and RISE with 麻豆原创.

麻豆原创 plans to build additional generative AI capabilities within 麻豆原创 BTP using NVIDIA鈥檚 generative AI foundry service, featuring听听AI supercomputing,听听software and NVIDIA AI Foundation models. These new capabilities are designed to be the basis of 麻豆原创鈥檚 development and deployment of generative AI for customers and is expected to be accessible in the generative AI hub in 麻豆原创 AI Core and 麻豆原创 Datasphere.

Additional generative AI initiatives include:

• New capabilities for the Joule copilot: Joule can leverage听听(RAG) capabilities built by NVIDIA and 麻豆原创, which can be deployed on leading hyperscalers or 麻豆原创鈥檚 own cloud environments. As a natural-language, generative AI copilot, Joule helps customers unlock the potential in their business by automating time-consuming tasks and quickly analyzing business-critical data to deliver more intelligent, personalized experiences.
• Innovative use cases leveraging 麻豆原创 S/4HANA Cloud, 麻豆原创 SuccessFactors and 麻豆原创 Signavio: 麻豆原创 and NVIDIA are exploring more than 20 generative AI use cases where the companies can combine assets to simplify and enhance digital transformation. Among these are generative AI features that can automate enterprise resource planning with intelligent invoice matching in 麻豆原创 S/4HANA Cloud; improve human resources use cases leveraging 麻豆原创 SuccessFactors; and accelerate new generative AI insights from 麻豆原创 Signavio to better process business recommendations and optimize 麻豆原创鈥檚 customer support processes.
• Unifying AI data sources with 麻豆原创 Datasphere: Built on 麻豆原创 BTP, 麻豆原创 Datasphere enables integration and a unified view of semantically rich 麻豆原创 data with third-party data across the enterprise landscape to help customers adapt faster to market changes and make more efficient and better informed decisions. With 麻豆原创 Datasphere, customers can confidently access a high-quality data fabric using AI and machine learning (ML) models. To accelerate 麻豆原创鈥檚 federated machine learning (FedML) capabilities for 麻豆原创 Datasphere, NVIDIA and 麻豆原创 are facilitating easier access to data for data scientists and enhancing ML workload performance with the support of NVIDIA accelerated computing platforms and NVIDIA AI Enterprise data science software such as听™.
• Using LLMs for the ABAP programming language: To aid developers in creating domain-specific language code, 麻豆原创 plans to use NVIDIA AI foundry services to assist in fine-tuning LLMs. This will build on 麻豆原创鈥檚 use of generative AI models to assist developers who use ABAP through the company鈥檚 ABAP Cloud model and 麻豆原创 Cloud Application Programming model.

NVIDIA AI Enterprise Powers Production-Grade Generative AI Across Cloud Solutions from 麻豆原创

Once models are ready for deployment in cloud solutions from 麻豆原创, 麻豆原创 plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever™ microservices. NVIDIA NIM can be used to accelerate and maximize inference performance across the accelerated infrastructure from 麻豆原创. Using NVIDIA NeMo Retriever microservices, 麻豆原创 plans to add RAG capabilities that enable generative AI applications to more securely access data running on 麻豆原创 software to improve accuracy and insights. Customers can plan to use RAG on both 麻豆原创 and third-party data.

To learn more about the 麻豆原创 and NVIDIA partnership,听.

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BANGALORE, India 鈥� Nov. 2, 2023 鈥�At the 麻豆原创 TechEd event in 2023, (NYSE: 麻豆原创) announced a comprehensive series of generative AI capabilities and advancements aimed at empowering developers of all skill levels to supercharge their businesses in the age of AI.

鈥淭oday鈥檚 dynamic technology and business landscape means every developer needs to be an AI developer,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淭he innovations we鈥檙e launching at 麻豆原创 TechEd, from AI-infused pro-code tools to a one-stop shop to create generative AI extensions and applications on 麻豆原创 Business Technology Platform, supporting the developers at the heart of the AI revolution and providing them with resources they need to transform the way businesses run.鈥�

As organizations aim to derive business value from , effective collaboration between professional and citizen developers is essential. 麻豆原创 is launching 麻豆原创 Build Code solutions, which streamline cooperation with business experts who use the low-code solutions launched at 麻豆原创 TechEd in 2022. Uniquely built for 麻豆原创 applications and the 麻豆原创 ecosystem, 麻豆原创 Build Code solutions offer AI-powered productivity tools for developers and are optimized for Java and JavaScript development. 麻豆原创 Build Code also draws on the power of 麻豆原创鈥檚 new generative AI 鈥� the copilot that truly understands business 鈥� to further boost productivity, embedding code generation capabilities for data model, application logic and test script creation.

Good data is the foundation of good AI, and 麻豆原创 HANA Cloud continues to pioneer innovation in the data space by adding new vector database features to its multimodel offerings at no additional cost. Vector data stores manage unstructured data 鈥� such as text, images or audio 鈥� to provide long-term memory and better context to AI models. This makes it easy to find and retrieve similar objects quickly. For example, users can search for suppliers based on the language in their contracts to examine payment history and trace individual orders. These powerful new vector database features enhance interactions between large language models and an organization鈥檚 mission-critical data. The innovation helps put 麻豆原创 developers at the forefront of delivering radically new levels of data insight within a secure, private framework that uses industry-specific customer data to reduce hallucinations.

AI Foundation on 麻豆原创 BTP, a new one-stop-shop for developers to create AI- and generative AI-powered extensions and applications on 麻豆原创 BTP, will further help increase developers鈥� impact and efficiency. AI Foundation includes everything developers need to start creating business-ready AI tools on 麻豆原创 BTP 鈥� from ready-to-use AI services and access to the top large language models to vector database capabilities and AI runtime and lifecycle management.

The rapid pace of technological innovation has driven up global demand for skilled developers 鈥� and 麻豆原创 is increasing its learning opportunities in tandem. As part of a commitment to upskill two million professionals by 2025 and complement free AI learning content already available, 麻豆原创 today launched and free learning resources for back-end developers using the ABAP Cloud development model. The two new learning resources covering ABAP development tools on 麻豆原创 BTP and 麻豆原创 S/4HANA are available on the . They are designed for agile and cloud-compliant business transformation, providing developers with skills to build cloud-ready extensions that are aligned with 麻豆原创鈥檚 clean core strategy.

麻豆原创 has听also joined the听Stanford HAI (Institute for Human-Centered AI)听. Researchers and engineers at 麻豆原创 will work with the Stanford academic community, including research faculty and students, on the intersection of generative AI and business.

For details on all the announcements made at 麻豆原创 TechEd in 2023, please visit our news guide .

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