India 鈥� May 21, 2025 鈥� At its annual 麻豆原创 Sapphire conference, (NYSE: 麻豆原创) unveiled innovations and partnerships that put the power of Business AI in every user鈥檚 hands, revolutionizing the way work gets done. From a virtually omnipresent Joule assistant to an expanded network of Joule Agents that work across systems and lines of business, 麻豆原创 heralds a new era that democratizes access to Business AI and can drive productivity gains of up to 30 percent.

鈥溌槎乖� combines the world鈥檚 most powerful suite of business applications with uniquely rich data and the latest AI innovations to create a flywheel of customer value,鈥� said 麻豆原创 CEO Christian Klein. 鈥淲ith the expansion of Joule, our partnerships with leading AI pioneers, and advancements in 麻豆原创 Business Data Cloud, we鈥檙e delivering on the promise of Business AI as we drive digital transformations that help customers thrive in an increasingly unpredictable world.鈥�

AI that boosts productivity

麻豆原创鈥檚 generative AI assistant Joule can be everywhere you work, delivering personalized answers on everything you need to be more productive.

Joule can accompany business users throughout their day, in and out of the 麻豆原创 application universe, to find data, surface real-time insights and streamline workflows. Joule鈥檚 new ubiquity includes an action bar powered by WalkMe that studies user behavior across applications, turning the assistant into an always-available, proactive AI that can anticipate users鈥� needs before they arise 鈥� always adhering to .

A collaboration with Perplexity, an AI-powered answer engine company, enhances Joule鈥檚 ability to draw on structured and unstructured data to solve complex business problems. Powered by Perplexity and the 麻豆原创 Knowledge Graph, Joule now instantly answers questions with structured, visual answers – such as charts and graphs – grounded in real-time business data within 麻豆原创 workflows. For example, a user could ask the tool how recent external events might impact their business and get a forecast based on both current events and the company鈥檚 own business data.

麻豆原创 also unveiled an expanded library of Joule Agents that reimagine business processes and workflows from the ground up. Fueled by the world鈥檚 most powerful real-time business data and orchestrated by Joule, these AI agents work across systems and lines of business to anticipate, adapt and act autonomously so organizations can stay agile in a rapidly changing world. Partnering with industry leaders, 麻豆原创 offers an ecosystem of interoperable agents that can execute end-to-end processes. The new agents span customer experience, supply chain management, spend management, finance, and human capital management.

Finally, 麻豆原创 introduced an operating system for AI development that transforms how enterprises build, deploy and scale AI solutions. AI Foundation gives developers a single entry point for building, extending and running custom AI solutions at scale, making it the first real operating system for Business AI. A new prompt optimizer, designed collaboratively with the frontier AI lab Not Diamond, also helps developers create more effective AI prompts quickly, reducing work on complex use cases from days to minutes.

Data that drives smarter decisions

麻豆原创 also introduced new intelligent applications in 麻豆原创 Business Data Cloud, each built for a specific line of business. These applications can continuously learn, simulate outcomes and guide actions using business-critical data, detecting changes to optimize processes, anticipate needs, and collaborate with both human and artificial thinkers to drive meaningful impact. The People Intelligence application, for instance, optimizes team performance by transforming people and skills data into workforce insights and AI-driven recommendations.

Additionally, Palantir and 麻豆原创 are partnering to facilitate joint customers鈥� cloud migration journey and modernization programs. Seamless connectivity between Palantir and 麻豆原创 Business Data Cloud will enable customers to build a harmonized data foundation across their enterprise landscape. Together the companies will responsibly deliver essential outcomes and support customers, including the U.S. government, to quickly adapt to changes and disruptions.

Applications that accelerate cloud adoption

The company also announced 麻豆原创 Business Suite packages, which are designed for customers to simplify the adoption of 麻豆原创 cloud solutions that address their specific business challenges. 麻豆原创 Build is embedded in these packages, so organizations can customize applications to meet their unique needs.

Finally, 麻豆原创 unveiled a new solution that helps customers transition to the cloud faster. With Joule as the entry point and drawing on insights from 麻豆原创 solutions including 麻豆原创 Signavio and 麻豆原创 LeanIX, the solution delivers personalized guidance and actionable recommendations tailored to an organization鈥檚 transformation objectives and can help deliver up to 35 percent faster time to value.

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INDIA鈥� February 13, 2025 鈥� (NYSE: 麻豆原创) today announced 麻豆原创 Business Data Cloud, a groundbreaking solution that unifies all 麻豆原创 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 麻豆原创 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.

鈥溌槎乖� Business Data Cloud unleashes the full value of enterprise data for Business AI,鈥� said 麻豆原创 CEO Christian Klein. 鈥淚t combines 麻豆原创鈥檚 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 麻豆原创, 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

麻豆原创 Business Data Cloud also helps 麻豆原创 foster the growth of a data product economy. It delivers fully-managed 麻豆原创 data products across all business processes 鈥� from finance, spend and supply chain data in 麻豆原创 S/4HANA and 麻豆原创 Ariba, to learning and talent data in 麻豆原创 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, 麻豆原创 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.

麻豆原创 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.

鈥溌槎乖� 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

麻豆原创 Business Data Cloud will improve how Joule, 麻豆原创鈥檚 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 麻豆原创 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, 麻豆原创 also unveiled a series of ready-to-use Joule agents across finance, service, sales and more to come across the 麻豆原创 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.

麻豆原创 today also announced a powerful new agent builder capability, so customers can build and deploy their own AI agents alongside 麻豆原创’s library of ready-to-deploy Joule agents. 麻豆原创’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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SEATTLE and WALLDORF听鈥� Amazon Web Services (AWS), an Amazon.com company (NASDAQ: AMZN), and听听(NYSE: 麻豆原创) today announced an expanded, strategic collaboration to transform modern cloud enterprise resource planning (ERP) experiences and help enterprises drive new capabilities and efficiencies with generative artificial intelligence (AI).

Together, AWS and 麻豆原创 are striving to make it easier for customers to adopt the RISE with 麻豆原创 solution on AWS, to improve the performance and efficiency of 麻豆原创 workloads running in the cloud and to embed generative AI into an enterprise鈥檚 entire portfolio of business-critical applications.

鈥淎WS was the first cloud provider certified to support the 麻豆原创 portfolio and today, thousands of enterprise companies run 麻豆原创 solutions on AWS to get the most out of their mission-critical applications,鈥� said Matt Garman incoming CEO at AWS. 鈥淣ow, AWS and 麻豆原创 are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive and sustainable.鈥�

鈥淧artnerships like this collaboration with AWS are critical as we embed generative AI solutions across our ERP applications so that customers can drive innovation at an accelerated pace,鈥� said Christian Klein, Chief Executive Officer of 麻豆原创 SE. 鈥淚n addition to delivering modern cloud ERP to our joint customers, we are excited to support Amazon on their own transformation journey as they adopt RISE with 麻豆原创 for pioneering areas such as Project Kuiper, Amazon鈥檚 satellite initiative intended to increase global broadband access.鈥�

Generative AI Models from Amazon Bedrock Available on the Generative AI Hub in 麻豆原创 AI Core

The generative AI hub in 麻豆原创 AI Core infrastructure provides customers with secure access to a broad range of large language models (LLMs) that can easily be integrated into 麻豆原创 business applications. With the integration of generative AI models from Amazon Bedrock such as the Anthropic Claude 3 model family and Amazon Titan, 麻豆原创 customers will be able to access high-performing LLMs and other foundation models (FMs) to build applications customized with their own data. Tens of thousands of customers use Amazon Bedrock to easily, quickly and securely build and scale generative AI applications using FMs from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon.

With this integration, 麻豆原创 customers may accelerate the adoption of generative AI and modernize key business processes built on 麻豆原创 solutions. These innovations can be used in embedded use cases within RISE with 麻豆原创 and the intelligent scenario lifecycle management functionality as an integration component or side-by-side directly on 麻豆原创 Business Technology Platform (麻豆原创 BTP). 麻豆原创 and AWS plan to expand the use of Bedrock capabilities in the generative AI hub to further enable embedded AI functionality within 麻豆原创鈥檚 portfolio of cloud solutions and applications. This includes additional use cases across finance and product lifecycle management.

麻豆原创 to Use AWS Chips to Train and Deploy Future 麻豆原创 Business AI Offerings

麻豆原创鈥檚 use of听AWS Graviton3 chips to support 麻豆原创 HANA Cloud听helps to deliver performance gains, cost savings and energy efficiency to 麻豆原创. By using Graviton3-based Amazon Elastic Compute Cloud (EC2) instances, 麻豆原创 has realized up to 30% better compute for analytical workloads and an estimated 45% reduction in carbon footprint for 麻豆原创 HANA Cloud. Now 麻豆原创 and AWS are collaborating on the next generation of Graviton4 for 麻豆原创 HANA Cloud and additional 麻豆原创 applications to continue to improve performance and efficiency. Based on the success of running 麻豆原创 HANA Cloud on AWS Graviton, 麻豆原创 plans to use AWS Graviton to support 麻豆原创 solutions and applications such as 麻豆原创 BTP, 麻豆原创 Datasphere, 麻豆原创 Analytics Cloud and the 麻豆原创 Cloud ALM solution.

麻豆原创 plans to use听听补苍诲听听chips, purpose built for AI and machine learning (ML) workloads, for training and deploying future 麻豆原创 Business AI offerings. Using Trainium and Inferentia2-based instances in a proof of concept, 麻豆原创 engineers trained and fine-tuned generative AI LLMs in two days versus 23 days with comparable Amazon EC2 instances. By leveraging Trainium鈥檚 specialized architecture designed for efficient ML model training, 麻豆原创 can accelerate the development process while maintaining high levels of accuracy and reliability.

Increased Performance for RISE with 麻豆原创 on AWS

Thousands of customers have selected RISE with 麻豆原创 on AWS to run their largest, most complex, global 麻豆原创 solution implementations. Now generally available, the next-generation Amazon EC2 High Memory U7i instances offer up to 32TiB of memory in a single instance and provide customers the memory and flexibility they need to support expanding 麻豆原创 HANA database requirements. Amazon EC2 High Memory U7i instances are the first DDR5 memory-based 8-socket offering by a leading cloud provider to improve the performance of memory-intensive applications such as 麻豆原创 S/4HANA Cloud as part of RISE with 麻豆原创.

Amazon鈥檚 Project Kuiper Selects RISE with 麻豆原创

Amazon companies, including Twitch, Zappos.com and Zoox Inc., already use 麻豆原创 software on AWS to support their operations. And now Project Kuiper鈥擜mazon鈥檚 satellite broadband network鈥攊s deploying RISE with 麻豆原创 to support its complex supply chain and manufacturing operations and get the best performance and most value out of its mission-critical 麻豆原创 software. Running 麻豆原创 solutions on AWS allows Kuiper to take advantage of the latest 麻豆原创 capabilities embedded in RISE with 麻豆原创 to help drive impactful transformation, accelerating company decisions and enhancing overall performance and productivity.

Hundreds of millions of people lack adequate internet access and Project Kuiper鈥檚 goal is to help close the digital divide by delivering fast, affordable broadband to a wide variety of customers operating in places without reliable internet connections. Delivering on that vision requires Kuiper to build satellites at an unprecedented rate. RISE with 麻豆原创 allows the Project Kuiper team to leverage the most reliable and scalable infrastructure to run a modern, cloud ERP as a managed service, so they can focus on innovation instead of IT management.

To learn more about the 麻豆原创 and AWS partnership, tune in to the听, June 3-5, in Orlando.

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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听鈩� 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听鈩�.
• 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鈩� 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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Picture Credit: Business Today

The post “I see India as a clear winner in the next phase of globalization”- Christian Klein appeared first on 麻豆原创 India News Center.

India has much to offer and we鈥檙e very happy to be a partner for growth and transformation

Sharing his experience on being part of the delegation, Klein pledged 麻豆原创鈥檚 support in helping the country realize its 鈥楧igital India鈥� and sustainability ambitions. He further underscored the role will play in shaping India鈥檚 future with synergies at play between the two technological ecosystems, coupled with the pool of young talent available, raring to go and who have the right attitude to win.

Excited about what next 25 years will bring

The Chancellor also undertook a two-hour tour of the 麻豆原创 Labs India campus in Bengaluru where he received a glimpse into 麻豆原创鈥檚 innovations and demos in the areas of digitalization, sustainability, digital supply chain, e-mobility, and human capital engagement. 鈥淭he work 麻豆原创 is doing there and worldwide is crucial for Germany鈥檚 and India鈥檚 future in the field of digitalization, cloud computing and artificial intelligence. The fact that Germany鈥檚 biggest digital company is succeeding in India with Indian expertise and ingenuity is a great example of the living bridge between our two countries,鈥� he remarked.

Sindhu Gangadharan, SVP & MD, 麻豆原创 Labs India and Head, 麻豆原创 User Enablement, said, 鈥淐hancellor Olaf Scholz鈥檚 visit to is a historic moment for us as we mark our 25th Anniversary of building breakthrough innovations centered around people, purpose, and power of the ecosystem. As 麻豆原创鈥檚 largest R&D location, we鈥檙e excited to fuel India and Germany鈥檚 bilateral relations and partnership in the areas of new technologies, digitalization, sustainability, and climate change.鈥�

Sustainability, Skilling, and Supply Chain Resiliency are top priorities

Klein also spent time meeting and interacting with business partners and customers such as Wipro, Asian Paints, etc. to understand business needs and priorities in the 鈥榥ew normal.鈥� He participated in an industry dinner roundtable hosted by 麻豆原创 Labs India for some of the key companies operating out of India, with the likes of Jagadish Mitra, Chief Strategy Officer and Head of Growth, Tech Mahindra, Manoj Kumar, CEO Naandi Foundation & Araku Coffee, Daniel Kraft, CEO 鈥� Lufthansa, Irina Ghosh, COO 鈥� Microsoft, members of NASSCOM (India’s IT Industry trade body) and Indo German Chamber of Commerce (IGCC). There were some great conversations, where the leaders expressed gratitude towards 麻豆原创鈥檚 India ecosystem for their support to the company and exchanged thoughts on how the partnership can be leveraged further, while reaffirming 麻豆原创鈥檚 commitment to India’s growth.

麻豆原创鈥檚 growth is purely built on organic growth

In an exclusive TV interview with CNBC TV 18, Klein shared his excitement about 麻豆原创鈥檚 future with Punit Renjen as the new Chairman of Supervisory Board at 麻豆原创. He said, 鈥淒eloitte is one of our largest partners, Punit and I鈥檝e had a wonderful working relationship in the past. We, all the people of 麻豆原创 are happy to have him onboard and are very excited about the years ahead with Punit as our Chairman.鈥� Laying down the global strategic roadmap for the company, he also noted that 麻豆原创 is very confident in its mid-term targets, its pipeline is super strong and is built purely on organic growth.

Building the world together

Klein also spent time interacting with over 6,500 employees joining hybrid at 麻豆原创 Labs鈥� campus at an All-Hands Employee meeting. Drawing on his own experiences at 麻豆原创, Klein shared anecdotes of his meteoric rise in the organization — from an intern student to now becoming a global CEO.

Will double down on investments in India

Taking note of the country鈥檚 growth trajectory and phenomenal talent potential, Klein emphasized on the company鈥檚 plans to double down its investments in India, in the areas of cloud infrastructure and people. He emphasized that India remains “a winner” and “a bright spot” in a world that reels under global uncertainties. 鈥淲e are seeing a lot of business for our solutions,鈥� he told

Thanking Klein for reinforcing his confidence to the market and validating India鈥檚 value to furthering 麻豆原创鈥檚 global ambitions, Kulmeet Bawa, President & Managing Director, 麻豆原创 Indian Subcontinent noted, 鈥淥ur commitment to India has never been stronger, with a zillion reasons why India is the shining star of growth and resilience. Writing is on the wall – 麻豆原创 India is a crucial partner to building India and the world.鈥�

Find a mentor, be positive and hone a hobby

There would have been no better way to wrap Christian鈥檚 India visit than hosting an informal, interactive, engaging 鈥�#LunchWithCK鈥�. If there’s way to summarize this luncheon, it was definitely a masterclass with Christian on how to lead with empathy, humility, and gratitude. 听Klein met up and interacted with colleagues in Mumbai who showcased their many talents and answered his queries. The hour-long session also brought out his softer, humane side as he shared his professional and personal life stories, eliciting gleams of smiles from the audiences. He also urged young colleagues to 鈥渇ind a mentor, be positive and hone a hobby鈥� to ladder up through #lifeatsap.

听

Manasvi Vakharia, a young Early Talent shared her experience, 鈥淗is energy, his passion for a sustainable future and learning that his daughter was born the same day he was appointed CEO were the highlights of my day!”

Among the many special moments Klein experienced, some remain his favorite, 鈥渢here were so many special moments that will stay with me such as visiting and watering my tree in Bengaluru (a great 麻豆原创 tradition), meeting Pandeyji, who has been working in our Mumbai offices as the security guard since the very first day and taking part in some beautiful traditional ceremonies.鈥�

Thank you Christian for the incredible, energy, passion, empathy and reinforcing your confidence in India as the 鈥減lace to be!鈥�

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