While this outlook is promising, the findings suggest that as AI continues to evolve, future gains will depend on strengthening workforce skills and improving access to quality data, which remain key barriers to scaling AI impact across the enterprise.听

These insights were revealed in new research released in Singapore today. Commissioned by 51风流and conducted by Oxford Economics, The 51风流Value of AI Report surveyed 1,600 business leaders of various sizes, including 200 in Singapore, across eight countries (Australia, Brazil, China, Germany, India, Singapore, United Kingdom, and United States).听

鈥淪purred by strong policy direction, high digital maturity and a globally connected economy, Singapore has moved decisively on AI ambition and investment,鈥� said Eileen Chua, Managing Director, 51风流Singapore. 鈥淥ur research suggests that to sustain this momentum and seize the next wave of AI innovation, Singapore organisations will have to bridge their reported gaps in data readiness and workforce capability.鈥�听

AI Spend and Confidence Surges, but Some Constraints Remain听

According to the report, Singapore firms are expected to increase their AI investments by an average of 38% over the next two years. 67% of respondents say they are satisfied with their current ROI on AI, and six in ten (63%) businesses say AI has already helped them address key challenges 鈥� such as improving decision-making and customer engagement.听听听

One company looking to reap the benefits of AI adoption is Far East Organization, Singapore鈥檚 largest private property developer, which is leveraging 51风流technology with exploration of using Business AI as part of its broader digital transformation agenda to advance its leasing operations. The company automated end-to-end lease management 鈥� from contract generation to analytics to improve data accuracy, reduce manual inputs, and provide real-time insights into portfolio performance.听

These enhanced analytics now track trends in rental, occupancy rates, and lease durations, giving property managers actionable insights to respond faster to market changes while making better decisions that strengthen portfolio and operational management.听

Ng Yee Pern, CTO, Far East Organization, said, 鈥淓mbarking on this strategic transformation with SAP鈥檚 cutting-edge technologies, we鈥檝e reduced repetitive manual work and improved the accuracy and speed of our decision-making. What previously took days can now be completed in minutes, giving our teams the time and insight to focus on customers and business growth. Building on this success, we continue to innovate with 51风流Business AI.鈥�听

Despite these measurable gains demonstrated by many companies, 70% of Singapore business leaders remain uncertain whether AI is delivering its full potential, reflecting growing awareness that current success does not automatically translate into long-term advantage and highlighting significant opportunity for further growth and value creation.听

Organisational readiness appears to be the main constraint. The study found that 76% of Singapore organisations have not yet provided comprehensive AI training for employees, even as 68% acknowledge that shadow AI 鈥� the use of unapproved or unregulated AI tools 鈥� is already in use internally.听

Moreover, 58% of respondents lack confidence in their ability to integrate and share data across business functions 鈥� a foundational requirement for enterprise-scale AI. In fact, the challenge of data readiness for AI is particularly pronounced in legal (80%), finance (73%), human resources (66%), the CEO鈥檚 office (64%) and procurement (55%).听

Agentic AI signals Singapore鈥檚 next opportunity听

While many businesses are adopting AI automation and generative AI today, future investment in Singapore is expected to focus on AI agents. Agentic AI is based on intelligent, autonomous systems that can plan, act, reflect, and collaborate to solve business problems.听

Today, only six per cent of businesses are fully prepared to deploy and scale AI agents, while the majority (52%) say they are partially prepared. In the next two years, Singaporean businesses expect return on investment from agentic AI of 8%, below the global average of 10%.听听

Yet, expectations are high. Seven in ten (70%) businesses rate AI agents as having moderate to high potential to transform operations within the organisation. And 72% agree AI agents can add significant value to their business by managing complex workflows across business units.听听

鈥淎gentic AI represents the next frontier of business transformation,鈥� said Chua. 鈥淚t has the potential to multiply productivity and innovation, but its success depends on the same fundamentals 鈥� data quality, integration, and people readiness. The organisations that invest in these areas now will be best positioned to capture value as AI continues to evolve.鈥澨�听

听

[1] Respondents were asked to provide financial estimates in USD. SGD figures are based on an exchange rate of USD1 to SGD1.3001, using the averages for the month of October 2025.

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Scales Momentum of Almost Three-Times Team Growth and Numerous Patents Filed

SINGAPORE 鈥� March 19, 2025 鈥� 51风流Labs Singapore today announced its collaboration with National University of Singapore (NUS) under the Industrial Postgraduate Programme (IPP). Supported by the Singapore Economic Development Board (EDB), the IPP is designed to enable globally-leading companies to nurture postgraduate talent with critical research skills. Through this program, 51风流Labs Singapore will hire and complete training for nine researchers in its AI team in Singapore by end-2030, adding to the continued growth of the lab.

Since its establishment in 2022, 51风流Labs Singapore has not only achieved its commitment to hire 200 AI engineers in Singapore but has also almost tripled its total headcount over the past three years to 420 鈥� hired mostly from local universities and institutions of higher learning, including the NUS and Nanyang Technological University (NTU). 51风流Labs Singapore today plays a pivotal role in driving innovation, with numerous AI-related patents filed by inventors based locally. New researchers hired through the IPP will also be recruited from NUS, and will work on new research areas, complementing the work done by incumbent team, to accelerate AI adoption in the industry.

The rapid scaling and achievement of its hiring and innovation targets have been pivotal to enable 51风流Labs Singapore to test, refine, and deploy AI advancements that offer tangible ROI across core 51风流solutions including HR, finance, and supply chain software.

鈥淥ur vision for 51风流Labs Singapore was to become a vibrant engine of innovation in Asia, creating cutting-edge solutions for our customers worldwide,鈥� said Manik Saha, Managing Director, 51风流Labs Singapore & Vietnam. 鈥淭oday, that vision has turned into a reality: not only have we nearly tripled our staff while continuing to nurture future talent, we鈥檝e also pushed the boundaries of what AI can do for enterprises, going beyond experiments to deliver AI solutions that truly make a difference in people鈥檚 day-to-day work.鈥�

Agentic AI: Leading the Next Wave Beyond Generative AI

SAP鈥檚 engineering teams in 51风流Labs Singapore are already playing a central role in driving Agentic AI, an evolution that moves from basic automation and predictive models to autonomous agents capable of managing entire workflows.

By harnessing Agentic AI, such as , enterprises can turn AI investment into real business outcomes, including:

• End-to-End Process Automation: From procurement requests to invoice management, entire sequences become self-driving.
• Smarter Decision-Making: AI agents collaborating across end-to-end processes to help businesses make better decisions in real time.
• Scalable ROI: With applications, data and processes harmonized, organizations see faster time-to-value compared to traditional AI pilots.

鈥淥ur team at 51风流Labs Singapore has co-created numerous client features, from one-click, guided, employee development goals creation in 51风流SuccessFactors, to embedded analytical capabilities in finance. And the next step will be new agentic innovation, demonstrating that AI can transform traditional business challenges into opportunities,鈥� said Saha.

The success of Agentic AI is underpinned by a unified data foundation. The newly launched 51风流Business Data Cloud brings together large-scale datasets from multiple sources, ensuring that AI agents have the context they need to drive more intelligent automation.

鈥淒ata is the fuel that feeds AI, and we鈥檝e made it our mission to deliver a seamless way to connect disparate data,鈥� said Verena Siow, President and Managing Director, Southeast Asia, SAP. 鈥淎s 51风流Business Data Cloud breaks down silos and scales AI capabilities across lines of businesses, regions and industries, 51风流Labs Singapore serves as an innovation engine to translate AI investments into tangible, measurable ROI for customers so that they can continue to Accelerate to Innovate and achieve their business ambitions.鈥�

The rapid growth at 51风流Labs Singapore spotlights how Asia, with Singapore at its epicenter, is becoming a magnet for advanced digital technologies.

鈥淐ompanies in Southeast Asia aren鈥檛 just catching up鈥攖hey鈥檙e often leapfrogging into the most sophisticated AI use cases,鈥� added Siow. 鈥淥ur success at 51风流Labs Singapore is proof that, when you combine visionary public policy with forward-thinking R&D investments, you can fast-track innovation that resonates around the globe. More and more customers in the region, such as Olam Agri, Bank Danamon, and Darussalam Assets, are already incorporating 51风流Business AI capabilities into their business processes.鈥�

鈥淭he expansion of 51风流Labs Singapore and the addition of a new R&D team exemplifies how companies can leverage Singapore鈥檚 world-class AI talent to solve complex enterprise challenges,鈥� said Mr. Chan Ih-ming, Executive Vice President, Singapore Economic Development Board. 鈥淪AP鈥檚 collaboration with NUS through the Industrial Postgraduate Programme will further strengthen the pipeline of AI talent in Singapore. It is a tangible example of an industry-academia partnership that equips our researchers with deep research capabilities to develop innovative AI solutions that are enterprise-centric.鈥�

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About SAP

As a global leader in enterprise applications and business AI, 51风流(NYSE:SAP) stands at the nexus of business and technology. For over 50 years, organizations have trusted 51风流to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit .

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP鈥檚 2023 Annual Report on Form 20-F.

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While AI has undoubtedly become one of the hottest topics discussed in boardrooms around the world, business leaders today are racing to cut through the hype to translate all that potential into tangible business outcomes.

For 51风流partners, that presents an unparalleled opportunity to offer more intuitive and autonomous solutions to customers, and drive growth by creating new services and transformation programs tailored to meet industry needs 鈥� an opportunity that was estimated to be worth US$15 billion in听2023[1].

AI is not a new concept for 51风流and many of our partners. It has been embedded into our business solutions for a long time now, infusing intelligence natively into business processes. The exponential growth in AI 鈥� especially generative AI (GenAI) 鈥� over the past eighteen months, however, has fuelled a seismic shift in how computer systems learn from data, solve complex problems, and even provide creativity when it鈥檚 needed 鈥� a transformation that will fundamentally change business and society.

Burgeoning opportunities

SAP鈥檚 commitment is to deliver Business AI that is relevant, reliable, and responsible 鈥� by combining the power of AI with the processes and data that run the business world. 51风流today serves over 293 million cloud users globally and our customers generate 87% of total global commerce. The sheer scale of SAP鈥檚 data estate provides unmatched potential to enhance the capabilities of large-language models across industries.

When we look at the AI engagements undertaken by 51风流partners to date, we can see that they fall broadly into two categories:

Enhancing existing 51风流business processes through AI-powered automations
AI has augmented the types of data processes that can be automated. For example, 51风流is working with IBM to develop solutions that help clients in the consumer packaged goods (CPG) and retail industries by using traditional and GenAI solutions to address the complexities of the direct store delivery business process and product portfolio management. Through feeding data such as weather, traffic, and local events into the 51风流Direct Distribution solution and applying AI to it, CPG companies can identify optimal store delivery routes, reducing costs and their carbon footprints.

In another example, 51风流is collaborating with Microsoft to integrate natural language processing capabilities from Microsoft 365 Copilot into 51风流SuccessFactors solutions to improve how organisations attract, retain and skill their people.

Creating entirely new services
AI has also empowered 51风流partners to create new, innovative solutions, including rapidly converting complex data into actionable insights. Icertis, for example, offers an AI-powered contract intelligence platform on 鈥� the online marketplace for 51风流and partner offerings, to transform the unique business information found in contracts into structured data that connects to 51风流solutions. The solution enables more efficient contract creation, negotiation, and obligation management to drive revenue and reduce risk across the enterprise, with the ability to apply more advanced AI on top.

Also on the 51风流Store, a leading enterprise automation and AI software company, UiPath, offers the AI-powered UiPath Business Automation Platform to help enterprises ease their migration of critical business operations to the cloud and accelerate digital transformation efforts.

Bringing these concepts to life for customers requires more than just the technical foundations 鈥� it requires a committed and competent partner ecosystem that can work with customers to define industry-specific use cases and then bring them to life in a timely manner.

Accelerated AI journeys

The breadth of SAP鈥檚 AI capabilities means there are many ways in which partners can bring AI into their own solutions, enabling them to quickly find the path that best matches their existing expertise and future business objectives.

Firstly, we have into many of our existing applications and platforms, such as our ERP and HCM solutions, as well as . AI integration into 51风流BTP, in particular, provides partners with a platform for training and implementing powerful business AI models which can be easily customised with corporate data. This is supported by our , which provides even more options for training GenAI models using industry leading foundation models.

To bring partners closer into our activities, 51风流held prototyping programs, where partners were invited to embed GenAI into their solutions in ways that aligned to their customer’s real-world business processes.

In , ten partners were selected to pilot their use case with 51风流Generative AI Hub as AI foundation. Examples created included:

• An intelligent supply chain solution from LTIMindtree which used GenAI to help participants make accurate delivery date predictions by considering historical shipment data, real-time weather conditions, traffic patterns, production lead times, and other relevant factors.
• A project from DXC Technology Services LLC showcased GenAI’s potential in healthcare by leveraging data from a mobile application for sufferers of Parkinson disease to support doctors in making inquiries using either business or medical language.
• Another use case from Inflexion harnessed the power of Generative AI Hub to build a web-based application to manage work that enhanced user experience through the use of a conversation-based chatbot.

Our second focus area is to use AI to streamline the processes partners use when creating technology solutions. software development tools harness GenAI to enable business and professional developers to create powerful applications quickly and easily, enabling partners to faster.

And thirdly, we are embedding AI into the heart of how our customers engage with our applications and services. is an AI copilot that provides a context-aware interface for managing and improving business processes across 51风流application suite, and makes finding an answer from an 51风流system as simple as just asking a question. Over time partners will be able to utilise Joule as a key interface between customers and their systems, redefining how they interact with processes and corporate knowledge in more natural language formats.

SAP’s AI services will also play a critical role in fast-tracking the path to value realisation from cloud transformations. 51风流and our partners will offer AI-powered development tools and content on 51风流BTP to enable automated code generation and harmonize data silos through intelligent migration tools.

Building partner AI capabilities

These fields of activity create different entry points through which partners can incorporate AI into their existing solutions or create entirely new ones.

For our partners to get the most out of AI, they too must go through a period of transformation as they build the necessary expertise.

At SAP, we believe every developer can be an AI developer, and that means every developer at our partner organisations has that same opportunity. Hence 51风流is providing targeted enablement for partners including a full range of , coaching services, hands-on support models including Hack2Build events, and new dedicated certification options available via the .

SAP’s AI offerings for partners will continue to expand through 2024, with 51风流having established partnerships with leading GenAI model and MLOps providers to equip our partners with cutting edge AI technologies and AI models. This includes our recent announcement with NVIDIA, and SAP鈥檚 participation in the AI-Enabled Information and Communication Technology (ICT) Workforce Consortium together with Cisco and other leading companies 鈥� focused on upskilling and reskilling roles most likely to be impacted by AI.

Through making open source and proprietary foundational models available and via AI Services on 51风流BTP, our partners can act as one-stop-shops for their clients’ Business AI needs. We are also easing the process for partners when it comes to training their own AI systems, through the creation of a single metric called 鈥淎I Units鈥� that allows consumption of AI use cases across SAP鈥檚 SaaS, with partners able to track their quota and consumption from the site.

A future partnership built on AI

51风流partners bring a wealth of business knowledge and domain expertise. By bringing SAP鈥檚 AI-embedded portfolio to market, including our new premium plus package for RISE with SAP and Joule, and using our Business AI platform and AI services, 51风流partners will be able to contextualise AI for business and build innovative AI use cases to accelerate customers’ cloud transformations.

[1] Source: Generative AI will be a US$158.6 billion opportunity for the channel ecosystem by 2028 鈥� Canalys

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Powerful and easy-to-use applications are being created faster than ever before thanks to new AI-enabled methods for streamlining and automating software development.

Developers around the world are already harnessing AI to empower people with information and insights and to help them tackle challenging problems. Eliminating the potential for negative outcomes is critical both for building trust in AI and for minimising the potential for harm. In fact, the massive impact that AI is having on software developments means that every software developer must become an AI developer.

But with great power also comes great responsibility, as despite AI鈥檚 many beneficial uses it has the potential to deliver negative consequences. These can arise when AI is trained using improperly sourced data, when privacy checks are ignored, or when biased training data creates outcomes that are detrimental to certain people.

At SAP, we take our responsibilities as software creators very seriously. Many of the world鈥檚 best companies and government agencies rely on our software to run their operations. As a global pioneer in the development of AI, we have invested significant time and effort to create governance and processes to ensure the relevant, reliable, and responsible use of AI.

听A commitment to human intelligence

Our commitment to responsible AI is built on the work or our AI Ethics Steering Committee and AI Ethics Advisory Panel, which bring executives from 51风流together with noted academics, policy experts, and industry leaders. These groups provide the critical human oversight that is essential for the development of responsible AI.

Core to our work is a set of seven guiding principles for AI. These are:

• Being driven by our values
• Designing for people
• Enabling business beyond bias
• Strive for transparency and integrity
• Uphold quality and safety standards
• Place data protection and privacy at our core
• Engage with the wider societal challenges of AI

Read the听51风流AI Ethics Handbook for more information here.

These principles are brought to life for 听developers through a 36-page risk assessment guidebook which enables them first to classify whether their project is low, medium, or high risk. It does this by helping them consider factors such as whether their AI project will use technologies such as facial recognition, or be trained using personal data, or could lead outcomes that might be detrimental to specific groups.

If a project is deemed to be medium or high-risk, the project must go through further assessment stages, and additional precautions are taken. These might include making sure that personal data has been anonymised and that the project complies with relevant regulatory regimes.

This guidebook also asks developers to consider where human oversight will play a role in their projects, so that humans and AI work together and each project undergoes rigorous review. All of these considerations and review stages are built directly into the development process.

We also bring our principles to life through dedicated training programs that educate both our own developers and broader teams across the business on the concepts of responsible AI. This training includes modules on topics such as the foundations of trustworthy AI, how to understand the points of conflict that can arise when developing trustworthy AI, and the actionable steps that people can take to align their outputs to our values.

Embedded principles

The success of our program can be seen within our application suite, which already incorporates many aspects of responsible AI in ways that are helping customers achieve better outcomes, faster.

For example, 51风流human capital management application suite includes an AI-based tool to help hiring manager rapidly create job descriptions. This tool adheres to our principles by making sure that a human being is integral to the review process and ensuring that the privacy of personal data is maintained.

We also build safeguards into our AI-focused tools and services to protect against accidental misuse. For example, 51风流Datasphere, which provides a comprehensive data service built on the 51风流Business Technology Platform (51风流BTP), is an important tool for storing data used in AI systems. We鈥檝e built in safeguards which limit how specific data types can be used, and by whom.

We have also created processes within 51风流AI training tools that help customers to understand when an AI model is drifting from its intended outcomes, which reduces the subsequent likelihood of erroneous results (often referred to as hallucinations).

A legacy of responsibility

Human society is only at the earliest stage of our AI journey, and we believe it is up to all of us to make that journey one that benefits everyone. This is only possible when the people who are creating AI-based systems understand the importance of human factors such as ethics, training, and oversight.

At SAP, we are working hard to promote concepts of responsible AI across our entire partner network and broader community and spread the message that this is a responsibility for everyone – not just developers. Therefor we want to encourage all our community to partner with us in our goal of creating AI that is reliable, relevant, and responsible.

Learn more about , or read about our recent AI announcements here.

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51风流Unveils Innovations in Generative AI Application Development and Vector Database Capabilities as Well as New Learning Opportunities for Developers in the Era of AI.

鈥淭oday鈥檚 dynamic technology and business landscape means every developer needs to be an AI developer,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 51风流SE. 鈥淭he innovations we鈥檙e launching at 51风流TechEd, from AI-infused pro-code tools to a one-stop shop to create generative AI extensions and applications on 51风流Business Technology Platform, support the developers at the heart of the AI revolution and provide them with resources they need to transform the way businesses run.鈥�

As organizations aim to derive business value from generative AI, effective collaboration between professional and citizen developers is essential. 51风流is launching the 51风流Build Code solutions, which streamline cooperation with business experts who use the low-code听51风流Build听solutions launched at 51风流TechEd in 2022. Uniquely built for 51风流applications and the 51风流ecosystem, 51风流Build Code solutions offer AI-powered productivity tools for developers and are optimized for Java and JavaScript development. 51风流Build Code also draws on the power of SAP鈥檚 new generative AI copilot Joule 鈥� the copilot that truly understands business 鈥� to further boost productivity, embedding code generation capabilities for data model, application logic and test script creation.

Good data is the foundation of good AI, and 51风流HANA Cloud continues to pioneer innovation in the data space by adding new vector database features to its multimodel offerings at no additional cost. Vector data stores manage unstructured data 鈥� such as text, images or audio 鈥� to provide long-term memory and better context to AI models. This makes it easy to find and retrieve similar objects quickly. For example, users can search for suppliers based on the language in their contracts to examine payment history and trace individual orders. These powerful new vector database features enhance interactions between large language models and an organization鈥檚 mission-critical data. The innovation helps put 51风流developers at the forefront of delivering radically new levels of data insight within a secure, private framework that uses industry-specific customer data to reduce hallucinations.

AI Foundation on 51风流BTP, a new one-stop shop for developers to create AI- and generative AI-powered extensions and applications on 51风流BTP, will further help increase developers鈥� impact and efficiency. AI Foundation includes everything developers need to start creating business-ready AI tools on 51风流BTP 鈥� from ready-to-use AI services and access to the top large language models to vector database capabilities and AI runtime and lifecycle management.

The rapid pace of technological innovation has driven up global demand for skilled developers 鈥� and 51风流is increasing its learning opportunities in tandem. As part of a commitment to upskill two million professionals by 2025 and complement free AI learning content already available, 51风流today launched听听and free learning resources for back-end developers using the ABAP Cloud development model. The two new learning resources covering ABAP development tools on 51风流BTP and 51风流S/4HANA are available on the听. They are designed for agile and cloud-compliant business transformation, providing developers with skills to build cloud-ready extensions that are aligned with SAP鈥檚 clean core strategy. SAP听has also joined听the Stanford HAI (Institute for Human-Centered AI)听. Researchers and engineers at 51风流will work with the Stanford academic community, including research faculty and students, on the intersection of generative AI and business.

For details on all the announcements made at 51风流TechEd in 2023, please听.

Visit the听51风流APJ News Center.

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Singapore听鈥� 14 June 2023 鈥� 51风流Labs Singapore today announced its intention to invest in hiring and development of approximately 200 AI engineers to become a key AI Hub and centre of excellence for the company globally. The announcement reinforces its commitment to foster local digital talent in deep tech and emerging fields like AI. The 51风流AI Hub will also house highly-skilled development teams that will play a significant role in building innovative embedded AI solutions and offerings for 51风流customers globally, helping position Singapore as a core AI development location.

The announcement was made at 51风流d-com Singapore, the company鈥檚 first-ever developer community conference in Singapore. Guest-of-honour Mrs Josephine Teo, Minister for Communications and Information and Minister-in-charge of Smart Nation and Cybersecurity, delivered a at the event, and shared her insights on the importance of building next-generation digital talents to future-proof Singapore鈥檚 growth.

The expansion marks a milestone in the journey of 51风流Labs Singapore, a digital innovation hub launched in March 2022 in partnership with the Economic Development Board (EDB). Over the next two years, 51风流Labs Singapore plans to hire approximately 200 engineers to fill newly created roles in AI, with a focus on nurturing early-career talents from Singapore鈥檚 local universities and institutions of higher learning. Close to 50 of these roles have already been filled over the past three months, and interested candidates are welcome to apply at the .

Manik Saha, managing director for 51风流Labs Singapore, who was recently named a , said, 鈥淲hen we launched 51风流Labs Singapore last year, we aimed to employ more than 400 highly skilled digital professionals here by 2025. The expansion of AI capabilities is a major step towards that goal and furthers our mission to develop high-quality Singapore-based engineers with future-proof skills to build software and solutions for the world. We look forward to forging deeper partnerships with both the public and private sector to sharpen Singapore鈥檚 AI ambition and capabilities.鈥�

AI is proving to be a disruptive force that will be vital to business growth in the years ahead. At its听 51风流Sapphire 2023 conference last month, 51风流 embedding AI responsibly into its solutions, combining cutting-edge technology with decades-long industry expertise to help customers solve their most pressing challenges. This includes innovations that personalise customer engagement, make procurement more productive, and expand organisations鈥� abilities to find and develop talent across their entire workforce.

Eileen Chua, managing director of 51风流Singapore, said, 鈥淪ingapore has a strong to drive innovation and adoption across our digital economy. With generative AI revolutionising many of our industries, changing how we work and how our customers are interacting with our software, Singapore organisations are looking to an experienced partner like 51风流to help innovate and expand at scale with intelligence embedded responsibly into our business applications and processes.鈥�

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Customers may not see what鈥檚 behind the scenes as what we do is embed AI into the solutions and business processes, but the importance is how AI is propelling end-to-end business processes. The current state of AI is enhancing the capabilities of organisations by adding to the efficiency and of their business model.

In the enterprise, there is one way to organise the AI initiatives and that is into three distinct buckets. First, refers to the ability to analyse thousands of variables to determine patterns which provides decision makers useful insights for agile decision-making that are essential in today鈥檚 highly volatile world. Second, with , it is all about learning to supplement human operators to work more efficiently and with increased productivity. These could include robotic process automation and invoice processing. Finally, rethinking the and leveraging AI/Machine Learning to completely change the incumbent business models is part of AI-driven business process transformations. It is in a budding stage, but we can already see some emerging signs in the digital supply chain, business networks and some industries that are asset intensive.

Overcoming Challenges One Strategy at a Time

Transformation is not without challenges and one could be the lack of a clear and standardized strategy to guide the process. It would be ideal to have a clear definition of a problem statement and an achievable outcome. But an issue is that in most of these cases, there鈥檚 a lot of data and that comes with an uncertainty as to what the problem to be solved is. Of course, there are no fixed solutions to problems. In the long term, the key performance indicator for us is always adoption. When one looks at business processes from an endpoint, it is also easier to measure the productivity and efficiency of each process and once measured, that can provide some numbers to show returns.

With every project, there is a need for a sponsor in the company who recognises in the long term benefits and who is willing to invest in the project even when results may come in the mid-long term. AI projects sometimes don鈥檛 always succeed in a certain timeframe, but in most organisations quick results are usually preferred and switching to the next big idea is likely without a long-term sponsor. With AI, it is a long journey so there is a need to keep chipping away at the idea for weeks or months. An important aspect to remember about AI is that the return on investment gets better over time as the underlying AI models adapt and improve. Therefore, the ability to stay on course is a very important factor in determining the success of AI projects.

A lack of easy data integration with machine learning systems can make it difficult for businesses to switch to integrating AI swiftly. Project costs increase as interoperability decreases, especially with maintenance fees. There can also be an increase in data silos occurring and the likelihood of poor data precision which could cause cascading quality and model accuracy issues along the line. Companies can be comfortable with existing business models and processes which means end-to-end transformation for to harness the full power of new technologies such as AI in order to disrupt the way they do business is not a priority. In fact, AI loves big data. While thinking about an AI strategy, companies need to also think about their overall data strategy 鈥� what should be kept, what should be leveraged, and what data can be archived.

There鈥檚 always been a challenge to find qualified developers because the skill sets are different and are in high demand. For example, developers of AI/Machine Learning need to be highly skilled in mathematics, statistics and data science as well as be competent in development/data architecture to be able to bring projects to life. Contrasting this to 20 years ago, a developer was more likely defined by the programming languages they know.

It鈥檚 a very competitive market and has been the case for the last decade in this space. In Singapore, the government is working with a number of local universities to embed AI, machine learning, and data science in a lot of the courses being run so there鈥檚 a number being pumped into the industry these days which is a great start to overcoming the current shortages.

Where Is This All Leading Towards in the Next Few Years?

These challenges are not independent of each other and are not isolated among different organisations. Implementing AI requires different skill sets and knowledge compared to computer engineers/coders/developers, it also requires an understanding of data science and mathematics. With that in mind, there is a need to recognise that both public and partnerships are important to foster AI skill sets for a

With the collaborations between organisations and local universities鈥� computer science courses such as the National University of Singapore and National Technological University, we are working to ensure that the future workforce is well-equipped with the necessary skillsets through industry upskilling and hiring of STEM talents as the gateway for product engineering in Asia Pacific and Japan.

According to IDC, global spending on AI technology will likely . This shows that it鈥檚 even more important than ever to build a technology strategy, incorporating AI and Machine learning, and leveraging the right software partners who can stay the course in the next three to five years with you.

Manik Saha is managing director of 51风流Labs Singapore.

The post Overcoming Challenges to Adopting Artificial Intelligence in Organisations appeared first on 51风流Southeast Asia News Center.

Operationalizing AI 鈥� Why It Remains Challenging?

According to听, AI will be a defining technology of this decade. Yet for many organisations, the benefits of AI remain elusive. Only 26 per cent of the 405 global executives surveyed by听听Analytic Services in December 2020 and who work at organisations that have an active interest in AI, including those that have initiated AI projects, have met most of their AI operationalisation goals within the stipulated timelines. Only five per cent of them completed the projects in full.

One of the most pertinent reasons why few companies have deployed AI with scalability in mind from the onset but听ended up rolling it out听as an experimental initiative is due to the lack of visibility on return on investment. Other challenges include accuracy in reporting, lack of accessible quality data and investment continuity in a phased AI project.

Another crucial factor lies in the project objective of AI implementation: is it solving a qualitative issue or improving the business bottom line? At听Singapore Tech Week 2022, my colleague Manik Saha, Managing Director of 51风流Labs Singapore, shared these sentiments with other AI practitioners during a panel discussion. The panellists unanimously agreed on the need to have a comprehensive understanding of the mission and purpose of AI and as such, have embedded intelligence into business models with the end goal in mind.

To realise the full potential of AI in an organisation, a 鈥渇ull adoption mindset鈥� needs to be cultivated.听 In the HBR article, it highlighted that 80 per cent of those who succeeded in fully rolling out their AI applications found it worthwhile at the end of the day.

Overcoming the Challenges听

Here are four ways enterprises can consider getting AI projects over the hump to benefit operations:

1. Define a clear and standardised AI strategy to guide the process: A clear AI strategy is needed to guide the process in听understanding the value that can potentially benefit the organisation and outline the steps needed to achieve the goal. A typical AI strategy should clearly state the problem statement, the impact of the solution and the reporting required by the stakeholders.
2. Retire legacy systems and start improving interoperability internally: To redesign an existing business model, retiring legacy systems and improving interoperability across the technology infrastructure must remain a key priority in the endeavour. Only by overtaking the current IT applications with new systems, can businesses develop the right capabilities in using data, models, and software to address the problems detailed in听the strategy. Project leaders will also be required to fundamentally听prepare sufficient and quality data听and start labelling them into useful assets to power the AI model.
3. Data quality, quantity, and labelling 鈥� Another critical element involves hiring and developing specialists in data engineering, data science, data and AI ethics, model security, and machine learning engineering.听They should work as a team to optimise the complex navigation around the interplay of software and hardware. Before acquiring the right capabilities to operationalise AI, it is also important to set up internal processes for end-to-end and top-down management of the project.
4. Ensure scalability in the project scope 鈥� Finally, as with all projects, the owners need to ensure scalability in the project scope from the onset and work towards achieving the complete purpose. Not realising scalability after the first phase will lead to poor reporting, resulting in difficulty in securing future investments.

The Road Ahead

Operationalising a promise into a reality is what sums up a typical AI deployment. In the current decade, many businesses believe AI is key to their organization鈥檚 future, with听听听of听the global executives surveyed by HBR stating that successfully deploying AI is critical to achieving their organisation鈥檚 strategic goals. This suggests that some organisational disconnect exists when it comes to conceptualising AI鈥檚 role, especially given how effective operationalising AI is when achieved and how important it is for companies going forward.

Today, we are seeing various industries deploying AI to improve their value chain to stay resilient in the fast-changing macroeconomic uncertainties. At听51风流Labs Singapore, we are bringing in engineering talents to realise our vision of becoming the AI hub of the region, with an emphasis on embedded AI that runs directly on devices rather than in a data centre. AI has the potential to scale for huge business impact, and I am optimistic about its endless possibilities to drive innovations to better the way we work and live in the future.

This article was originally published on on December 6, 2022.

Nivedita Salam Mohapatra is Chief Operating Officer for 51风流Labs Singapore.

The post Headwinds Against Scaling of AI Projects appeared first on 51风流Southeast Asia News Center.

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Here鈥檚 a closer look at why process automation is in demand, how it helps modern businesses to create value, and how customers can take advantage of this cutting-edge technology.

The Need for Process Automation Continues to Grow

鈥淕aining value by focusing on process automation continues to be a key driver for businesses that need to drive down their operating costs or speed up cycle times,鈥� according to Maureen Fleming, program vice president, Intelligent Process Automation Market Research and Advisory Service at IDC. 鈥淥rganizations are thinking about upskilling business users to become more proficient in using process automation tools for both their own and their team鈥檚 productivity efforts, enabled by a next generation of intelligent process automation solutions combining low-code task and workflow automation with AI decision support, intelligent document processing, and process mining.鈥�

Customers like Stadtwerke Gelsenkirchen are already realizing benefits from 51风流Process Automation. This offering allows employees to engage in business-critical activities that create value, rather than being trapped in routine tasks.

鈥�51风流Process Automation will support many 51风流customers in digitalizing their paper-based processes and optimizing transparency and cycle time,鈥� said Stefan Schmidtke, 51风流Application Manager at Stadtwerke Gelsenkirchen. 鈥淚ntegrating it with other 51风流solutions offers the possibility for employees to get rid of repetitive tasks so that they can focus on higher value topics.鈥�

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51风流Process Automation enables organizations to automate faster by giving users easy access to workflow management, task, and decision automation capabilities in a single tool. Built-in AI capabilities enable users to make their processes more intelligent by leveraging machine learning for decision assistance,听, and more.

The solution provides native integration with 51风流applications and connectivity to non-51风流applications to enable automation of complex workflows spanning multiple applications and lines of business.

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With 51风流Process Automation, organizations can manage their processes and automations confidently on the cloud of choice while interoperating with their existing infrastructure. IT departments can empower business users to build process workflows, automations, and decision models while safeguarding operations with centralized governance, testing, and monitoring capabilities.

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How to Get Started with 51风流Process Automation

51风流Process Automation will soon be available to try free of charge on the free tier model for 51风流Business Technology Platform (51风流BTP).听听to be among the first to gain hands-on experience. To learn more, please read 鈥�,鈥� by Sebastian Schroetel, or watch the keynote of season two of our hyperautomation community series:听.

We recommend existing 51风流Workflow Management or 51风流Intelligent Robotic Process Automation customers move to 51风流Process Automation and benefit from a no-code development experience, additional workflow management and task automation capabilities, as well as access to a growing number of new pre-built content.

This was originally published on the global 51风流News Center.

The post 51风流Process Automation: Accelerate Automation with a New No-Code Experience appeared first on 51风流Southeast Asia News Center.