Mumbai, April 13, 2026: SAP, 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 51风流delivery capabilities and support faster enterprise transformation programs. By integrating 51风流Joule for Consultants the company aims to streamline implementation workflows for customers across the entire 51风流project lifecycle鈥攆rom discovery and design to development, testing, and post-deployment support.

Empowering Consultants with AI at Scale

听Building on SAP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 SAPs most authoritative knowledge base, including content not available to third-party tools, 51风流Joule for Consultants transforms SAP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 51风流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 51风流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 SAP, 51风流Joule for Consultants enables organizations to accelerate cloud migration and improve delivery quality, lowering total cost of ownership (TCO).

Vinay Sanil, Global 51风流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 51风流Joule for Consultants addresses this gap by embedding AI-driven intelligence directly into the delivery lifecycle. By enabling instant access to trusted 51风流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. 51风流continues to see strong momentum for the 51风流Business Suite, with organizations across industries using embedded AI to reimagine finance, supply chain, HR, and customer experience functions.

By embedding 51风流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 51风流transformation programs.

Ravinder Amar,听 Vice President – Enterprise Business, 51风流India Subcontinent, said, 鈥淎I is redefining how enterprise transformation is delivered. With 51风流Joule for Consultants, Tech Mahindra gains direct access to SAP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 51风流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51风流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: 51风流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, 51风流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, 51风流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 SAP鈥揝RH collaboration launched in Germany in December 2025 under the leadership of Andre Bechtold, President 51风流Industries and Experiences, and extends the initiative to India, giving Indian students access to globally recognised enterprise technology credentials while embedding 51风流expertise directly into university programmes.

The initiative reflects SAP鈥檚 broader learning transformation strategy, which focuses on meeting learners where they already are by integrating industry-relevant skills into academic environments. 51风流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 51风流Learning Hub, student edition, including 51风流learning content, practice systems, live sessions and up to two certification exam attempts per year. 51风流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 51风流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, 51风流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 SAP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 51风流reflects our commitment to delivering education that is deeply connected to industry. By integrating 51风流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 51风流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 SAP
As鈥痑 global leader in enterprise applications and business AI, 51风流(NYSE:SAP)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted SAP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

Press Contacts
Shikha Pushpan; s.pushpan@sap.com
Chandrika Jana; chandrika.jana@sap.com

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Unveiled at SAP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, 51风流SE. 听鈥淎t SAP, 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 51风流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 51风流Business AI. Advancing this momentum, a leading technology services and consulting company is leveraging 51风流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 SAP, 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, 51风流Labs India and Head, 51风流Customer Innovation Services, SAP.

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 SAP, 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 51风流Business AI can deliver ROI for your business .

Visit the听. Get 51风流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

51风流Press Room; press@sap.com

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SAP, a leader in enterprise applications and business AI, became Europe鈥檚 largest company by market capitalisation this year. Since its inception in 1996, 51风流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 51风流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, 51风流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 SAP鈥檚 global target of 400 total embedded AI use cases across its portfolio, from over 210 generative AI use cases available today. 51风流Labs India, the company鈥檚 second largest Research and Development center outside Germany, is responsible for a large part of the development of SAP鈥檚 AI co-pilot, Joule.

The recent launch of 51风流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 51风流Business AI Advantage: WIPRO

Wipro Limited, a leading technology services and consulting company, revealed it chose 51风流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 51风流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 51风流Joule for Consultants, we鈥檙e able to showcase the power of 51风流Business AI to our customers even while we work with them to make their transformation journeys successful.”

From Complexity to Clarity

51风流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 51风流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.

51风流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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INDIA鈥� February 13, 2025 鈥� (NYSE: SAP) today announced 51风流Business Data Cloud, a groundbreaking solution that unifies all 51风流and third-party data throughout an organization, providing the trusted data foundation organizations need to make more impactful decisions and foster reliable AI. The solution harmonizes data from organizations鈥� most mission-critical applications with data engineering and business analytics capabilities, paving the way for next-level innovation and insights.

This between 51风流and Databricks marks a new era in enterprise data management as two leaders in their domains come together to redefine how applications and data platforms work together. The new solution natively embeds Databricks technology for data engineering, machine learning and AI workloads.

鈥�51风流Business Data Cloud unleashes the full value of enterprise data for Business AI,鈥� said 51风流CEO Christian Klein. 鈥淚t combines SAP鈥檚 unique expertise in mission-critical, end-to-end processes and semantically rich data with Databricks鈥� world-class data engineering capabilities to create a ground-breaking solution that helps organizations do more with their data than ever before.鈥�

鈥淓very company on the planet wants to get more value out of their data and greater returns on their AI investments,鈥� said Ali Ghodsi, Co-founder and CEO of Databricks. 鈥淏y joining forces with SAP, we鈥檙e helping organizations bring together all their data 鈥� regardless of format or where it lives 鈥� to govern, analyze and build domain-specific AI applications on the Databricks Data Intelligence Platform.鈥�

Introducing the data product economy

51风流Business Data Cloud also helps 51风流foster the growth of a data product economy. It delivers fully-managed 51风流data products across all business processes 鈥� from finance, spend and supply chain data in 51风流S/4HANA and 51风流Ariba, to learning and talent data in 51风流SuccessFactors. These data products maintain their original business context and semantics, providing immediate access to high-quality data without costly extraction processes. For example, if a CFO wants to assess the impact of rising inflation on profitability, 51风流Business Data Cloud integrates real-time external data such as the consumer price index with financial data products such as general ledger accounts or cost centers to create a comprehensive financial snapshot.

51风流Business Data Cloud will also offer new capabilities called insight apps that use data products and AI models connected to real-time data to deliver advanced analytics and planning across all lines of business, including core enterprise analytics, finance and human resources.

鈥�51风流Business Data Cloud will help us unlock the value of our data and drive innovation across our business,鈥� said Markus Hartmann, Corporate Vice President and Head of Business Technology and regions Europe, APAC and IMEA, at Henkel, a multinational chemical and consumer goods company. 鈥淚ts semantically rich data products and deep Databricks integration will enhance our existing data products and empower us to model scenarios and leverage AI insights, building a sustainable future for our data ecosystems.鈥�

Delivering on the full promise of AI agents

51风流Business Data Cloud will improve how Joule, SAP鈥檚 generative AI copilot, accelerates cross-functional workflows and improves business decision-making with AI agents. Powered by the highest-quality enterprise dataset in the industry 鈥� and the 51风流Knowledge Graph solution, which provides a business-friendly model of data 鈥� Joule agents deeply understand end-to-end processes and can collaborate across functions to solve complex business challenges, something no other agent builder technology can do out of the box.

Underscoring today鈥檚 announcement and its significance for AI innovation, 51风流also unveiled a series of ready-to-use Joule agents across finance, service, sales and more to come across the 51风流Business Suite. In finance, for example, agents will work together across a variety of tasks to process claims faster and improve cashflow. Joule sales agents, meanwhile, will accelerate multi-step business processes to resolve disputes and process customer inquiries faster.

51风流today also announced a powerful new agent builder capability, so customers can build and deploy their own AI agents alongside SAP’s library of ready-to-deploy Joule agents. SAP’s decades of business process expertise are built into the guided workflow so users can ground their custom agents in the most relevant data and business context.

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WALLDORF, Germany 鈥� October 8, 2024 鈥� (NYSE: SAP) today unveiled groundbreaking AI innovations across a technology foundation that drives 87% of global commerce, putting its generative AI copilot Joule at the center of a new way of doing business. At its annual 51风流TechEd conference, 51风流announced powerful new capabilities that complement and extend Joule, including collaborative AI agents, imbued with custom skills to complete complex cross-disciplinary tasks. Other innovations include the 51风流Knowledge Graph, a next-generation solution poised to help developers unlock the full value of 51风流data by connecting it with rich business context, and new tools to ensure developers can continue driving Business AI innovation.

鈥淪AP鈥檚 innovation drives real business outcomes, and today’s advancements help customers harness the power of AI, data, and new development solutions to catalyze growth,鈥� said Muhammad Alam, member of the Executive Board of 51风流SE, 51风流Product Engineering. 鈥淒rawing on SAP鈥檚 unmatched business and technology expertise, the AI innovations we鈥檙e announcing at TechEd forge a new human-AI partnership to transform the landscape of modern business.鈥�

Supercharging Joule

On the eve of its first birthday, Joule marks a watershed in how business gets done. 51风流introduces collaborative AI agents to a copilot that truly speaks the language of business, expands Joule鈥檚 capabilities to support 80% of SAP鈥檚 most-used business tasks, and embeds Joule more deeply within the company鈥檚 portfolio.

Collaborative multi-agent systems deploy specialized AI agents to tackle specific tasks and enable them to collaborate on intricate business workflows, adapting their strategies to meet shared objectives. 51风流is infusing Joule with multiple collaborative AI agents that will combine their unique expertise across business functions to collaboratively accomplish complex workflows. These AI agents enhance productivity by breaking down silos and freeing workers to concentrate on areas where human ingenuity thrives.

Two use cases debuted at TechEd showcase the agents鈥� transformative power:

• A dispute management use case employs autonomous AI agents to analyze and resolve dispute resolution scenarios including incorrect and missing invoices, unapplied credits, and denied or duplicate payments.
• A financial accounting use case employs autonomous AI agents to streamline key financial processes by automating bill payments, invoice processing, and ledger updates while quickly addressing inconsistencies or errors.

Harnessing the Power of Data

SAP鈥檚 AI innovations also draw on the company鈥檚 unmatched business data expertise. The new 51风流Knowledge Graph solution, accessible through 51风流Datasphere and Joule in Q1 2025, will give users a deeper layer of business understanding by seamlessly mapping relationships and context across SAP’s vast data landscape, empowering organizations to make better decisions with their data. By offering ready-to-use relationships between business entities like purchase orders, invoices, and customers, the solution can significantly reduce the complexity of manual data modeling. 51风流Knowledge Graph grounds AI in SAP-specific business semantics, which reduces the risk of inaccurate or irrelevant results and makes it easier for organizations to build intelligent applications and leverage generative AI more effectively.

Empowering Developers

51风流also launched a swathe of innovations for developers to continue driving Business AI innovation. New generative AI developer capabilities such as code explanation and documentation search in 51风流Build, the company鈥檚 platform for extending its solutions, will reduce development time for Java and JavaScript developers. 51风流Build is also adding an Extensibility Wizard feature that will let developers access 51风流Build directly from 51风流S/4HANA Cloud Public Edition, simplifying the extension process. Meanwhile, ABAP developers and fusion teams will get seamless access to ABAP Cloud development tools from 51风流Build.

Finally, 51风流announced that it has already fulfilled its pledge to upskill 2 million people worldwide by 2025. Through its , the company has lowered the world鈥檚 digital skills gap through role-based certifications, free training materials, hands-on opportunities for developers, and more. 51风流continues to expand its growing portfolio of AI-related learning opportunities, including courses on generative AI, AI ethics, and SAP鈥檚 advanced AI tools and platforms.

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听At 51风流Now, the second flagship customer event in India this year, 51风流unveiled new midmarket AI research revealing 96% of Indian organizations with between 250 and 1,500 employees are prioritising generative artificial intelligence (Gen AI), compared to 91% in the rest of the world.

The survey questioned 12,003 businesses around the world including 800 in India. Commenting on the research, Manish Prasad, President, and Managing Director of 51风流Indian Subcontinent, said, 鈥淚ndia鈥檚 midmarket businesses are the backbone of the nation鈥檚 economy. AI is a game-changer for these companies, offering agility, and actionable insights, and helping them thrive in a digital economy. Working with a technology partner like 51风流is critical because AI is already built into our applications that power the most critical business processes. Only then can Indian businesses of every size make the promise of Business AI a reality.鈥�

Rajeev Singh, Vice President and Head of Midmarket, 51风流Indian Subcontinent, further added, 鈥淎I has the potential to empower organizations with intelligent insights, automation, and tools, allowing them to compete on a global scale. Today, more than 27,000 customers globally are already using 51风流Business AI, recognizing the impact on enhancing operations and enabling real-time decision-making. For example, Indian customers like PGP Glass, Suzlon Energy and many more have already embraced the transformative potential of AI in their businesses.鈥�

Indian midmarket businesses are prioritising AI

• Indian midmarket businesses are prioritizing the implementation of Gen AI at a moderate or strong priority (96%), ahead of the rest of the world (91%).
• Adopting Gen AI (66%) only trails preparing for cybersecurity threats (67%) as Indian midmarket businesses鈥� strongest organisational priority in 2024, and ahead of making business operations more environmentally sustainable (65%).

Organisations in India place a higher priority on AI to transform business than rest of the world:

• Over half of Indian midmarket businesses surveyed place a high priority on AI to transform privacy and security (55%) and improve decision-making (52%), ahead of business from the rest of the world (50% and 49% respectively).
• Indian midmarket businesses are also putting a high priority on AI to improve training and skills development (51%), and customer experience (50%), and to optimise supply chains and logistics (50%).

听Indian businesses are already implementing AI today:

• Indian midmarket businesses are adopting AI faster than the rest of the world, as, 49% of Indian respondents say they are using AI for forecasting and budgeting to a strong degree compared to 40% of the rest of the world. In comparison, 48% of Indian companies use AI to develop marketing and sales content (41% rest of the world).
• Other uses of AI in Indian midmarket businesses include gathering market intelligence (47%), monitoring regulatory compliance (47%), and monitoring cybersecurity threats (46%).

Talent is the biggest risk to use of AI

• The biggest risk Indian midmarket businesses see when it comes to the use of AI is finding, attracting, and retaining talent with AI skills (39%).
• Data is the next biggest risk, with lack of transparency behind AI results (36%), acting upon incorrect information (36%), and insufficient data size and quality for AI models (33%) among the other risks identified.

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51风流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, 51风流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 SAP, 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: SAP) 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 SAP鈥檚 portfolio of cloud solutions and applications.

The companies are collaborating to build and deliver 51风流Business AI, including scalable, business-specific generative AI capabilities inside the Joule copilot from 51风流and across SAP鈥檚 portfolio of cloud solutions and applications 鈥� all of which are underpinned by the 51风流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 SAP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. 51风流will use听听to fine-tune LLMs for domain-specific scenarios and deploy applications with new听鈩� microservices. 51风流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 51风流SE. 鈥淪trategic technology partnerships, like the one between 51风流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 51风流accelerate the pace of transformation and better serve our customers in the cloud.鈥�

鈥�51风流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 51风流will bring custom generative AI to the thousands of enterprises around the world that rely on 51风流to power their operations.鈥�

Harnessing Business Data and Generative AI to Advance Customer Insights

51风流and NVIDIA plan to collaborate to integrate generative AI into cloud solutions from SAP, which include the latest release of the 51风流Datasphere solution, 51风流Business Technology Platform (51风流BTP) and RISE with SAP.

51风流plans to build additional generative AI capabilities within 51风流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 SAP鈥檚 development and deployment of generative AI for customers and is expected to be accessible in the generative AI hub in 51风流AI Core and 51风流Datasphere.

Additional generative AI initiatives include:

• New capabilities for the Joule copilot: Joule can leverage听听(RAG) capabilities built by NVIDIA and SAP, which can be deployed on leading hyperscalers or SAP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 51风流S/4HANA Cloud, 51风流SuccessFactors and 51风流Signavio: 51风流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 51风流S/4HANA Cloud; improve human resources use cases leveraging 51风流SuccessFactors; and accelerate new generative AI insights from 51风流Signavio to better process business recommendations and optimize SAP鈥檚 customer support processes.
• Unifying AI data sources with 51风流Datasphere: Built on 51风流BTP, 51风流Datasphere enables integration and a unified view of semantically rich 51风流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 51风流Datasphere, customers can confidently access a high-quality data fabric using AI and machine learning (ML) models. To accelerate SAP鈥檚 federated machine learning (FedML) capabilities for 51风流Datasphere, NVIDIA and 51风流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听鈩�.
• Using LLMs for the ABAP programming language: To aid developers in creating domain-specific language code, 51风流plans to use NVIDIA AI foundry services to assist in fine-tuning LLMs. This will build on SAP鈥檚 use of generative AI models to assist developers who use ABAP through the company鈥檚 ABAP Cloud model and 51风流Cloud Application Programming model.

NVIDIA AI Enterprise Powers Production-Grade Generative AI Across Cloud Solutions from SAP

Once models are ready for deployment in cloud solutions from SAP, 51风流plans to use NVIDIA AI Enterprise software, including NVIDIA NIM inference microservices and NVIDIA NeMo Retriever鈩� microservices. NVIDIA NIM can be used to accelerate and maximize inference performance across the accelerated infrastructure from SAP. Using NVIDIA NeMo Retriever microservices, 51风流plans to add RAG capabilities that enable generative AI applications to more securely access data running on 51风流software to improve accuracy and insights. Customers can plan to use RAG on both 51风流and third-party data.

To learn more about the 51风流and NVIDIA partnership,听.

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