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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Mumbai, India鈥� January 18, 2023 鈥� (NYSE: SAP) today launched new research revealing that Indian businesses are increasingly seeing financial benefits from sustainability. The global Environmental Sustainability Study of 6500+ business leaders, including 400 from India, is the second edition of SAP鈥檚 annual report which explores the motivations and barriers organisations face as they look to boost sustainability in their companies.

Environmental activism (45%) is the biggest motivating factor for organizations to take environmental action, with revenue and growth opportunities (34%) and customer demand (33%) trailing behind. Yet Indian organisations risk losing out if they are unable to place data at the heart of their sustainability strategy.

“If India is to advance towards a more sustainable future, businesses must do their part and embrace sustainability as a holistic approach to get there,” said Kulmeet Bawa, President & Managing Director, 51风流Indian Subcontinent. “It is clear sustainability is no longer about brand reputation or ethics – there is a defined connection between profit and purpose.鈥�

Key findings from the study:

Linking sustainability goals with business strategy

• 37% of Indian businesses say a lack of environmental strategy is holding them back.
• 35% of respondents point towards difficulty proving a return on investment.
• Embedding sustainability goals within larger business strategy, measuring, and recognizing progress will be crucial to success and driving long-term value.

Data is critical to drive meaningful change

• 31% of businesses rely solely on assumptions and estimates to assess the environmental impact of their supply chain.
• 46% of businesses say they don鈥檛 have complete visibility over the sustainability metrics of their external supply chain.
• Collecting and analysing high-quality data has emerged as a critical issue and a major stumbling block in the measurement process.

Making sustainability profitable and profitability sustainable

• 59% of Indian leaders now believe that there is a positive relationship between environmental action and profitability.
• Almost half (48%) of Indian businesses now believe addressing environmental issues will be material to business results within the next five years.
• 51风流found 76% of businesses said that their stakeholders would be moderately or highly tolerant of reduced profitability in pursuit of their organisation鈥檚 sustainability goals 鈥� indicating leeway to invest in positive sustainability outcomes.

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Data and Analytics

All the massive data gathered by organizations requires analysis. Traditional methods of computing did not allow for quick analysis of such large amounts of data. However, with the advent of new technologies such as cloud computing, organizations can now process data quickly. Data analytics has also become more meaningful with the help of these technologies, and vast amounts of data can now be made more sense of.听

With products and services that come enabled with internet connectivity, various kinds of data can be collected and instantly analyzed. This data from the customers includes:

• purchasing and search behavior听
• personal preferences and details听
• methods of communication听
• social media usage patterns听
• location information

Once all this data has been analyzed by machine-learning algorithms, the services offered by an organization can be adjusted to suit individual needs. The services offered to the customers can thus be tailor-made.听

It is thus the analytical results of data that can be used by an organization for different purposes. Data analytics are, therefore, the digital processes that use data and insights from different channels. This data is ultimately used to generate value for the customers in the data-rich business environment of today.听

Therefore, like oil, data can be refined through analytics and turned into a highly valuable asset. And this has never been as true as it is today. Data has become one of the most important commodities for businesses worldwide. Organizations can use the data to gain a competitive edge in their business by understanding the environment in which they function.听

Organizations around the world are increasingly recognizing the importance of data. For example, 81 percent of respondents in China believed that data analytics is either extremely important or very important to sustain a competitive business, according to a听听conducted last year. In North America, 34 percent had a similar opinion.听

Innovation driven by data has been predicted to be one of the most significant ways that would help to improve social welfare and hasten economic growth in the 21st century. Data gathered through greater interactions between business and customer is helping to bring together the two. This is leading to more accessible and customer-friendly business environments.听

In another听, half of the executives working in the global travel and hospitality industry believed that customer data analytics was crucial to the success of their companies and helped in achieving a competitive advantage in the business. While most of the executives believed that data analytics was important to varying degrees, only one percent of the respondents believed that customer data analytics was not important at all. These trends show how data operations and analytics are becoming an essential determinant in the competition in businesses.听

The high value that is being placed on data also reflects in the increasing investments in data analytics. Two years ago, the global market for big data and business analytics was valued at $168.8 billion and by end-2021 it鈥檚 expected to grow to $ 215.7 billion. More than half of the spending in big data analytics is likely to go towards services. IT services are projected to make up around $85 billion. Business services will account for the rest.

So how can data help your business to gain a competitive advantage?听We give you 5 ways in which this can be done:

1. Data helps you find the right customer

Many businesses waste resources by targeting the wrong group of people. Basically, sales teams try to woo customers who do not require their services. This leads to wastage of resources and time. Finding the right customer for your business is therefore important. Data and analytics can help your business by attracting the right kind of customer.

The right customers 鈥� who need your solution or service 鈥揾elp your business stay profitable and help by providing large-scale data resources. This data forms the raw material for deriving greater insights through data analytics. This data can include the user’s behavior, preferences and shopping habits. This user-generated content, created by the customers themselves, then becomes a repository for the business to glean useful information from. It can ultimately help the business in multiple ways, by allowing it to听

• design the right kind of marketing campaigns听
• target the right group of people
• deliver their service through the right kind of channels

Personalized data resource allocation mechanisms can also allow a business to understand the needs of the customer better. It also reduces the effort required from a customer to have a service delivered to them through predictive and proactive executive frameworks. Such frameworks can be put in place only through data and analytics.听

2. Swifter and better decision-making

Data can be a massive tool for any business if it is used right. One of the most important advantages that it equips an organization with is better and quicker decision making. This is achieved in multiple ways. One of them is by helping to deliver the right data to the right people at the right time. For example, relevant data from your feedback and customer service department can be quickly diverted to the design and production section to convey the faults in a product. After analyzing customer preferences, a product can then be designed which is more suited to the customer needs. All this requires the right information to reach the right people within your organization. Data analytics help to organize all this information for dispatching to the relevant personnel.听

Another way that data helps in decision-making is by helping your business to understand what the customer is looking for. Businesses gather a lot of data from the customers and the markets. This data, when analyzed properly, can help businesses to get a sense of the customers鈥� minds. Data-driven analytics do this by helping your business to understand just exactly what your customers need, when they need it, and how to deliver it best. This data can also help the business to understand the kind of product and service they need to supply, and how to market the product. This data can also be used for tracking current developments and for forecasting the future. All these help the business to make better decisions in a shorter time.

Data-driven analytics can also help struggling businesses to understand the reasons for slow or stunted growth. Once the problem is identified, data can also help the business find the best remedial measures to recover growth.听

3. Helps you get closer to the customer

Businesses are increasingly moving towards platform economies. These are business and economic projects and activities that are carried out digitally and facilitated by platforms. Online platforms are one of the most essential components of such a platform economy. These online platforms are constructed with the help of a large scale of personal data resources. Still, they can also run and function optimally only through a consistent supply of data. This is especially true for businesses dependent on greater and constant personal data connectedness with their customers. Examples include car-hailing platforms, payment platforms and food delivery services. This is also true for businesses that establish greater connectivity with their customers through social media platforms. In order to serve their customers better, these businesses need to stay in constant touch with them. This requires a ceaseless gathering of data. It also calls for sifting through enormous amounts of data, all of which can only be managed through better data analytics set-ups.

Once a business begins to work this data in a comprehensive manner, the business can deliver better services to the customer.听

Data and analytics can also help an organization to identify a niche and narrow market segment. Data and analytics can enable an organization to predict and foresee changes in the markets, thus allowing the firm to be a leader in markets where no one else has ventured before. Niche market needs can be met this way.听

4. Helps in creating synergy within your business

Better coordination between the different departments of your organization can also help to fulfill your company鈥檚 potential. This is possible when the company is functioning at an optimum standard. Data analytics also helps in achieving this by compartmentalizing work. As data is gathered from the market and customers, analytics help the company devise executive frameworks. This means allotting the right work to the right department. Once this balance is achieved, your business can generate a larger supply with higher efficiency. As hassles between multiple stakeholders are removed, data and analytics can help to deliver quicker and better.听

A well-coordinated data analytics module can also help to generate more demand from the consumer. This is achieved through a better understanding of the target group of your service. Greater interactivity is also reached, as the consumer becomes the content or service supplier by making the data available. This two-way process achieved through data helps to attain a synergy that is a characteristic of a successful and dynamic business operation.听

By keeping track of customer feedback on a product or service, data and analytics can also help an organization follow up on its services. By gathering data from customers using a product, their habits of usage, and their responses and reactions, data analytics can help a business understand the customers鈥� needs better. By providing solutions to problems that arise with a product, the organization can also keep in touch with the customer and instill a sense of accessibility in them. This also helps to create a friendly image of your brand and can help in generating customer loyalty and good word of mouth.听听

5. Helps you develop long term strategies and create value听

The social and technological systems of the modern world are moving along a path of convergence. This means that technological practices and habits are becoming a part of our social customs and practices. From interactions between families and friends, to managing and carrying out day-to-day business activities and planning, technology has come to be involved in everything. This is why creating a long-term strategy for data and analytics can allow your business to stay ahead of the competition. This can be developed through data.听

Data can help the keen-eyed to predict the future. By having an analytical framework ready for the data you gather, your business can have a tool for keeping customers happy and for acquiring new ones. It can also help you to avoid pitfalls and predict errors. Resources can thus be saved, and faults avoided.听

Developing long-term strategies and avoiding errors can help businesses in value creation. Value creation and market analytics driven by data are therefore interlinked. Value creation is the expectations that customers come to associate with a brand. It is cultivated by a business over a while and amounts to a promise of value to be delivered to the customer. It is one of the basic tenets of brand loyalty, and if a business expects its customers to keep returning to them, value creation should be nurtured and sustained. The applications derived from data-driven planning and investments by global companies also lead to the creation of value. In addition, they also help to satisfy customers鈥� desired needs better.

Data is associated with value creation in a dynamic process. On the one hand, promoting value creation has picked up pace in recent years due to increased data-driven analytics. On the other hand, data has also acquired significance due to the greater value that customers associate with a brand. Customers have also come to expect a minimum standard of technology-friendly approach from services. As such, they expect spontaneous value from the businesses they interact with. This two-way communication process also produces a large volume of data through听. These include-

• The use of RFID tags to analyze customer store movement听
• Real-life, real-time and large-scale assortment optimization听
• Analyzing data from customer purchase records over a large volume of product categories
• Gathering and analyzing data from the shopping behavior of the customers with an in-store mobile phone and connected apps.

All this data can be used to generate value for the customers.

According to the Marketing Science Institute, understanding a customers’ 360-degree view of preferences has become one of the most highly valued priorities for businesses worldwide. This is because it helps to generate value for customers. While data has made generating value easier, it also allows the business to maintain this value in a data-driven competitive business environment. This is particularly helpful for businesses that involve direct and intimate contact with customers. Businesses like retail can get the most out of value creation by听.听

Business organizations and brands use their valuable and identifiable resources to attain a competitive advantage by creating value for customers. These resources may include a promise of better service or a brand appeal that customers associate with a firm. However, versatile resources like the knowledge of a customer鈥檚 needs can help an organization grow by helping it understand how to position its services to best suit the market. Data-driven analytics does this by re-combining the resources of an organization in innovative ways to strengthen its capabilities. While the resources of an organization can be used to set up the infrastructure for data-driven analytics, the data can be used to service the customers better. Data can also serve to guide an organization on how to structure the infrastructure.听

Combining traditional and knowledge-based resources also enables the organization to offer meaningful experiences and returns on investments to the customers. These returns are based on current trends. Data-driven analytics also allows the delivery of personalized and individual need-based experiences. This is especially true in modern businesses. The contemporary business consists of an environment where competition in business is high and appealing to customers easy but not sustainable over a long period.听

By acting as a paver for the strategic and executive roadmaps of your business, data and analytics help your organization achieve innovativeness and performance in the data-rich environment of the modern world.

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