Headquartered in Malaysia with offices in Asia, the Middle East, and the Americas, Averis provides shared services such as finance, human resources, and procurement to over 300 clients across the globe. For over 15 years, the company ran its core business processes on a traditional on-premise 麻豆原创 enterprise resource planning (ERP) system.

As the company continues its global expansion, Averis needed to transform and modernise its IT landscape to enhance capacity planning, simplify system upgrades, and manage operational costs more efficiently. Migrating to 麻豆原创鈥檚 cloud solutions was an obvious pathway, but Averis required some sensitive customer data to continue to be stored on-premise, so it can retain flexible control.

RISE with 麻豆原创 proved to be a perfect fit for Averis due to its customisability and adaptability, enabling the company to adopt a hybrid approach that integrates both public and private clouds, successfully overcoming its unique business challenges.听

Herminto, Vice President of Group IT at Averis said, “Over our 15-year partnership, 麻豆原创 has consistently demonstrated a deep understanding of our business and commitment to our success. With their unwavering support, we could tailor a hybrid strategy that works for us, so we can reap the full benefits of the cloud while maintaining control over sensitive data, ultimately enhancing our business continuity and reducing costs for our clients.”听

A public-private cloud that offers the best of both worlds听

Moving most of its infrastructure to the cloud has empowered Averis to unlock new capabilities in data analytics, automation, and client engagement. Averis has recorded an 8.5% uptick in client satisfaction due to faster turnaround times, more personalised service delivery, and greater agility in handling unexpected requests.

RISE with 麻豆原创 will also enable Averis to replace its traditional CAPEX/OPEX operating model with a pure OPEX model, optimising its technology cost structure and achieving an 11.5% drop in total cost of ownership (TCO). As a result, the company can scale and adjust its computing requirements according to business needs while reducing risk and enhancing the stability of its IT environment.

Most importantly, Averis is future-proofing its business with the right foundation to accelerate its innovation in fast-growing areas such as artificial intelligence (AI) and sustainability. The company expects to use AI to increase employee productivity and optimise resource utilisation in its facilities.

As Averis鈥� clients increasingly adopt their own sustainability metrics and goals, the company will also use 麻豆原创 solutions to strengthen its offerings in sustainability services, further expanding its service portfolio and driving business growth.听

The enhancements provided by 麻豆原创 cloud solutions have empowered Averis’ team of more than 1,000 professionals to embrace change and innovation, fostering a culture of continuous learning, collaboration, and maximized use of digital tools to drive operational resilience and client satisfaction.听

Eileen Chua, Managing Director, 麻豆原创 Singapore, said, 鈥淏usiness services providers like Averis play a crucial role in driving productivity and growth for the companies it supports. Averis鈥� journey to the cloud with a tailored RISE with 麻豆原创 solution underscores how a flexible cloud strategy can empower companies to scale rapidly and drive real business results, with improved client satisfaction and a future-ready foundation for AI and sustainability initiatives.鈥�

Visit the . Follow 麻豆原创 at .鈥赌�听

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The post Averis Leverages RISE with 麻豆原创 for Enhanced Agility, Resilience, and Cost Savings appeared first on 麻豆原创 Southeast Asia News Center.

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 麻豆原创 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 麻豆原创 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

麻豆原创鈥檚 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. 麻豆原创 today serves over 293 million cloud users globally and our customers generate 87% of total global commerce. The sheer scale of 麻豆原创鈥檚 data estate provides unmatched potential to enhance the capabilities of large-language models across industries.

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

Enhancing existing 麻豆原创 business processes through AI-powered automations
AI has augmented the types of data processes that can be automated. For example, 麻豆原创 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 麻豆原创 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, 麻豆原创 is collaborating with Microsoft to integrate natural language processing capabilities from Microsoft 365 Copilot into 麻豆原创 SuccessFactors solutions to improve how organisations attract, retain and skill their people.

Creating entirely new services
AI has also empowered 麻豆原创 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 麻豆原创 and partner offerings, to transform the unique business information found in contracts into structured data that connects to 麻豆原创 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 麻豆原创 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 麻豆原创鈥檚 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 麻豆原创 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, 麻豆原创 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 麻豆原创 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 麻豆原创 application suite, and makes finding an answer from an 麻豆原创 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.

麻豆原创’s AI services will also play a critical role in fast-tracking the path to value realisation from cloud transformations. 麻豆原创 and our partners will offer AI-powered development tools and content on 麻豆原创 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 麻豆原创, we believe every developer can be an AI developer, and that means every developer at our partner organisations has that same opportunity. Hence 麻豆原创 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 .

麻豆原创’s AI offerings for partners will continue to expand through 2024, with 麻豆原创 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 麻豆原创鈥檚 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 麻豆原创 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 麻豆原创鈥檚 SaaS, with partners able to track their quota and consumption from the site.

A future partnership built on AI

麻豆原创 partners bring a wealth of business knowledge and domain expertise. By bringing 麻豆原创鈥檚 AI-embedded portfolio to market, including our new premium plus package for RISE with 麻豆原创 and Joule, and using our Business AI platform and AI services, 麻豆原创 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

The post 麻豆原创 Partner Opportunities in Artificial Intelligence (AI) appeared first on 麻豆原创 Southeast Asia News Center.

Like other industrial nations, Japan has been facing massive demographic challenges in its agriculture sector. An aging population and a lack of younger individuals entering the sector to replace them have led to farms being abandoned and fields lying fallow.

Japan鈥檚 government has realised the demographical issue, of course, as it touches not only the agricultural sector. To revitalise rural areas and stem the rural exodus, the government launched a national action plan.

In alignment with this action plan, 麻豆原创 Japan has joined the effort of encouraging rural communities to thrive by launching a co-innovation project with PSI, an 麻豆原创 partner, and the local government of the town of Minano.

Digitising the Agricultural Sector

The small town of Minano is located in the hills of Saitama Prefecture, about two hours from Tokyo. While the south of this prefecture is largely a suburb of the Tokyo area, the west, approaching Mt. Fuji, is still very rural and thinly populated. A former center of silk industry, the region on average is sunny and warm but can get lots of snow in winter.

鈥淔arms in this area are traditionally small and dispersed, located between forests and mountains,鈥� says Yoshihisa Horiguchi, chairman of MINNANO Future Create. 鈥淏ig supermarkets and retailers overlook them. Nowadays, the farmers cultivate rice and vegetables in small amounts to consume themselves, sell to their neighbours, or send to their children or grandchildren that live in cities.鈥�

Since 1950, Minano has lost roughly one-third of its population, largely due to the decline of the agricultural sector. Today, it counts about 10,000 inhabitants.

鈥淵oung people often migrate to urban areas for better education and employment opportunities,鈥� Horiguchi explains. 鈥淲here 50 years ago, a farm may have relied on 20 young workers, now only two elderly workers are left.鈥�

Digitisation is one obvious approach that may help prevent those areas from depopulating completely.

鈥淏ut while large-scale farms benefit from the economic feasibility of applying robotics and the like, it is financially and logistically challenging to apply such technologies to small-scale dispersed farms,鈥� Horiguchi says.

Horiguchi, the owner of an automotive parts manufacturing company, co-founded the local initiative MINNANO Future Create in 2019 to solve the challenges resulting from population loss. Its members range from elderly individuals to young residents, forming a diverse group of individuals, including pharmacists, architectural designers, and other professions, all living in the town.

For one of its projects, the Minano Digital Eco Farm, it partnered with 麻豆原创 Co-Innovation Lab.

IoT Solution for Monitoring Agriculture

The Minano Digital Eco Farm project aims to build a communication platform that connects farmers and urban residents as well as small-scale dispersed farms to major supply chains, forming a portfolio that coexists with existing large-scale farms. In alignment with the United Nations鈥� Sustainable Development Goals (SDGs), the project will help overcome supply chain disruptions due to food shortages and crop failures due to abnormal weather, conflicts, disasters, and more.

For this vision to become a reality, Internet of Things (IoT) sensors were distributed in various locations and managed remotely from headquarters.

鈥淭he idea was to have an IoT solution running on 麻豆原创 Business Technology Platform (麻豆原创 BTP) that would help monitor all the agricultural processes,鈥� says Atsushi Minakuchi, senior solution specialist at 麻豆原创 Co-Innovation Lab in Japan.

麻豆原创 Co-Innovation Lab partnered with PSI, which brought in the Digital Material Controller (DMC), an all-in-one compact edge controlling server that enables easy setup of a ubiquitous IoT environment. And, due to the cooperation with 麻豆原创 Co-Innovation Lab, the DMC has also obtained 麻豆原创 certification.

鈥淢any IoT sensors lack cybersecurity functions,鈥� Mitsuhiro Yamazaki, senior advisor and former president of PSI, says. 鈥淗owever, by connecting sensors to a DMC with cybersecurity capabilities, it becomes possible to securely store locally collected data on the DMC, safely transmit to 麻豆原创 BTP, and accumulate, analyze, and utilize data from the DMC. This enables seamless and easy integration between the 麻豆原创 core system and the IoT system.鈥�

鈥淐ollaboration with 麻豆原创 Co-Innovation Lab has significantly expanded the application possibilities of DMC,鈥� Masaki Fukui, former PSI Cyber Security Lab director and now with the Ministry of Internal Affairs and Communication, says. 鈥淕lobal users of 麻豆原创 now could have the opportunity to easily implement and utilize a ubiquitous supply chain platform through the combination of DMC and 麻豆原创 BTP.鈥�

Through integration with 麻豆原创 BTP, the deployment locations can then be displayed and monitored on a dashboard.

The idea is for citizens living in the city to enter a service contract with a rural farm or supplier and to connect via a technology platform to remotely monitor and support agricultural processes. In return, they receive part of the crops 鈥� freshly delivered to their homes in the city.

So far, two proofs of concept for farms have been completed between March 2019 and November 2022, as well as one proof of concept for a miso factory. Agriculture and rural industry are only two fields of application. Future projects could include schools, hospitals, stores, and elder care facilities.

Strengthening Rural Appeal for Inland Tourism

As a corporate social responsibility project, the Minano Digital Eco Farm came to life through the voluntary engagement of 麻豆原创 employees in Japan who supported the project on top of their regular work.

The project is supported by a government program unique for Japan, the so-called hometown tax payment, which makes it possible for citizens to choose and support the region they were born and raised in or a community they wish to engage with.

鈥淭he possibility of hometown tax payment is very popular among Japanese people,鈥� Hidenori Kurosawa, vice governor of Minano, explains. 鈥淭o us in rural regions, it seems that this played a significant role in creating an interest in the countryside. People want to get to know and support local towns.鈥�

Indeed, the appeal of small, thinly populated communities surrounded by beautiful forest landscape hasn鈥檛 gone unnoticed by Japanese inland tourists.

Kurosawa says: 鈥淲e wish to make Minano appealing to visitors by offering return gifts that provide an experience 鈥� that allow visitors to come to the town, interact with the locals, and experience things that are unique to this place.鈥�

The Minano Digital Eco Farm project aligns well with this strategy. Not only does it promote Minano鈥檚 charm but, by expanding initiatives, it addresses local challenges such as reclamation of abandoned farmland, increased self-sufficiency in food, reduction of CO2 emissions, and improved profitability in agriculture.

鈥淲e have great expectations that this initiative will contribute to addressing the town鈥檚 challenges and advancing the UN SDGs,鈥� Kurosawa states. 鈥淲e express our sincere gratitude to the volunteers from 麻豆原创 Japan who provided invaluable assistance in bringing the Minano Digital Eco Farm project to life.鈥�

鈥淢INNANO鈥� means 鈥渇or everyone鈥� in Japanese and is pronounced the same way as the name of the town. Fukui from the Ministry of Internal Affairs and Communication explains the idea behind that name: 鈥淥ne action can have multiple meaningful impacts. The issue of unseen small-scale dispersed farms facing economic challenges can be witnessed around the globe. By collaborating with 麻豆原创, we hope to inspire rural communities beyond our own prefecture, maybe even beyond Japan.鈥�

This article first appeared on the 麻豆原创 Global News Centre.

The post Digital Eco-Farming: How 麻豆原创 Japan Helps Revitalise Rural Communities appeared first on 麻豆原创 Southeast Asia News Center.

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 麻豆原创, 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 麻豆原创 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听麻豆原创 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, 麻豆原创 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, 麻豆原创 Datasphere, which provides a comprehensive data service built on the 麻豆原创 Business Technology Platform (麻豆原创 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 麻豆原创 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 麻豆原创, 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.

The post Creating the next generation of responsible AI developers appeared first on 麻豆原创 Southeast Asia News Center.

From the keynote stage to the showfloor, whether you were a dev, a customer, or a partner, all around 麻豆原创 TechEd Bangalore one phrase was repeated time and again: 鈥済enerative AI鈥�.

The focus of more than 5,000 tech and business decision-makers was fixed firmly on AI and what it could do for their businesses, right now 鈥� the products 麻豆原创 has released through 2024, and what is coming next.

With responsible, reliable, and relevant AI that鈥檚 built for business, the view of the thousands of delegates at TechEd 2023 was that the future is looking bright

There was a wealth of incredible insight and opportunity at TechEd. In fact, it was a little bit like going back to school because the things that stood out to me were the ABCs.

A is for Automation听

First, I was struck by the enormous potential businesses can realise through the power of enterprise automation.

With the help of AI, technology is helping developers and IT teams automate repetitive, mundane tasks and make better decisions, faster. By embedding generative AI capabilities into 麻豆原创 Build Process Automation, 麻豆原创 Signavio, and 麻豆原创 Integration Suite, we鈥檙e helping customers analyse, integrate, automate, and monitor business processes way more simply 鈥� and then immediately write the code to make those processes better. It鈥檚 that easy.

In my discussions with customers, it was clear that complementing process improvement and insights with enterprise architecture insights will be a real force for change in the future. Customers are excited to understand how to optimise and tune their architecture for the best performance across their entire IT stack.

But this isn鈥檛 future-gazing. Businesses are seeing real results today. Take Zuellig Pharma, one of Asia鈥檚 leading healthcare companies, providing pharmaceutical distribution and digital and commercial services across 26,000 direct outlets. Zuellig Pharma implemented best-in-class processes across its 麻豆原创 infrastructure, creating more than 180 automations using 麻豆原创 Build Process Automation to streamline and simplify its business.

B is for Build听听

Aligned to the focus on automation is the empowerment of a new, powerful resource for IT departments 鈥� citizen developers enabled by 麻豆原创 Build. And given every developer will be an AI developer, the opportunity for an AI-infused future is tantalising.

Rucha Nanavati, CIO of Indian car giant Mahindra & Mahindra, said it best.

鈥淲e started identifying tasks that don鈥檛 require a lot of human intelligence and that enabled our human workforce to focus on more strategic initiatives,鈥� she said. 鈥淭hat led us to automate more than 250 business processes in 3 months, most of which was done by a community of more than 100 citizen developers.鈥�

鈥淭hat鈥檚 great, but let鈥檚 talk about benefits. We count more than 900 workdays saved, and more than 400 development days saved in just a year鈥檚 time. We鈥檝e seen a 35% gain in developer efficiency and 20% faster execution of our jobs. And we鈥檝e saved more than 13,000 trees. All in one year,鈥� concluded Nanavati.

The story of Mahindra & Mahindra shows the power of a workforce that has been empowered to make real change to their IT systems and the tangible results that can be realised. And with the ability to link low-code, no-code development with pro-code development via , as well as increasing amounts of natural language interaction through 麻豆原创 Joule, it is easier than ever to modernize processes fast.听

C is for Clean Core听听

At 麻豆原创, we know better than most that enterprise systems can be complex. That鈥檚 why a 鈥� a cloud compliant, modern, flexible ERP that can be updated and scaled simply 鈥� is at the centre of our strategy.听听

And it鈥檚 a concept that鈥檚 also at the heart of the future strategic direction for all of our customers.听听

Takuya Sakai, CIO of Hitachi HiTech, embodies that more than most. His company has used 麻豆原创 ERP globally for more than 20 years, over which time the system became more and more complex.

鈥淭hat complexity incurred significant maintenance costs, prevented the company from quickly introducing new innovation, and ultimately hindered its growth,鈥� said Sakai-san. 鈥淚t was very critical to reduce the complexity.鈥�

Using 麻豆原创 Business Technology Platform (BTP), Hitachi HiTech was able to easily upgrade 麻豆原创 S/4HANA systems in the public and private cloud 鈥� at the same time reducing the number of add-ons and customisations in the software down from 9,000 to just 800.

鈥淯sing 麻豆原创 BTP we can build smart, global digital processes without touching the 麻豆原创 S/4HANA core. 麻豆原创 BTP is a very, very important tool to accelerate our business processes,鈥� concluded Sakai-san.

What鈥檚 next: AI for business, not AI for AI鈥檚 sake听

It鈥檚 easy to get carried away by hype and excitement, especially around innovation like generative AI.

But what I saw at 麻豆原创 TechEd was even more exciting 鈥� new innovations, here today, that are already making a tangible difference to real business problems.

The key is in the context 鈥� using your AI to connect data, not just collect it. By generating reliable, responsible insights that understand the context of the business processes that surround them, Business AI will help boost productivity, efficiency, and real outcomes.

Read more about the new announcements at 麻豆原创 TechEd 2023 here: 听

听

The post What you might have missed at 麻豆原创 TechEd 2023: Remember your ABCs appeared first on 麻豆原创 Southeast Asia News Center.

According to McKinsey, generative AI has the potential to add . In the Asia-Pacific, this spells good news sinceare committed to investing in generative AI technologies by year-end, or are at least exploring the possibility. Already, in Singapore, allegedly uses AI in the office and the .听听

Over the next few years, we will see Asia become the world鈥檚 innovation hub with AI. At 麻豆原创 we already understand the huge opportunity, made possible by Gen AI, to fundamentally change the way businesses run.听听

Intelligent answers for real-world problems听

And businesses are already taking advantage of the benefits of AI today.听

In Korea, Kakao Enterprise uses AI to broaden the business capabilities of its mobile app. By taking of advantage of 麻豆原创 Business Platform (BTP), is has enabled its users to conveniently search data, process transactions, and conduct frequently-used business processes through its app.听听

Meanwhile in Thailand, Zuellig Pharma is using 麻豆原创 Intelligent Robotic Process Automation alongside machine learning to reduce processing times by 93%, allowing them to fulfil sales orders faster.听

Introducing a new way to integrate AI into your business听

Realising those sorts of benefits from AI requires a strategic, enterprise-led focus on business outcomes. That鈥檚 why we are focused on delivering the most relevant, reliable, and responsible AI that is built for business to our customers.听听

One recent example of how we鈥檙e doing this is the launch of our new generative AI co-pilot, Joule. Joule works by quickly sorting through and contextualising data from multiple systems to bring users smarter insights 鈥� and ultimately helping to make better decisions. It works by generating responses based on real scenarios, all with the necessary guardrails to ensure responsible use within the 麻豆原创 ecosystem. This enables our customers to get work done faster and drive better business outcomes in a secure, compliant way.听听

With Joule, users maintain full control over decision-making and data privacy across 麻豆原创 applications. Joule builds on and enhances existing 麻豆原创 Business AI offerings. More than 26,000 麻豆原创 cloud customers already have access to 麻豆原创 Business AI across multiple scenarios and partner solutions.听

Our customers know their ideal value journey best and 麻豆原创 is here to ensure they have the necessary solutions in place to achieve their goals in the long run. With our new Premium Plus package for RISE with 麻豆原创, customers have the flexibility to choose the package which best drives their business results, including one that has more tools to power faster, make better decisions and maximise the impact of AI across their processes. We鈥檝e also included added sustainability insights, faster finance decisions, and a networked Enterprise Resource Planning (ERP) portal to boost ESG outcomes and aid compliance.听

Empowering our customers to create future-ready organisations sits at the core of 麻豆原创鈥檚 vision. In my next post, I鈥檒l share the new products and announcements we made at our 麻豆原创 TechEd 2023 in India and how they鈥檒l also be helping businesses to transform their operations in 2024 and beyond.听听

In the meantime, learn more about 麻豆原创 TechEd and listen to the keynotes and customer sessions here: 听

The post Dollars and Sense 鈥� Making Business AI Work for APJ appeared first on 麻豆原创 Southeast Asia News Center.

When organizations fully harness the power of their data, they become enterprises that use it to innovate faster, create new revenue streams, and adapt to unanticipated changes.

At 麻豆原创, we know the opportunity to capture and use data strategically has never been more paramount. Today, we鈥檙e taking a significant step forward 鈥� along with other leaders in our industry 鈥� to enable customers to simplify their data landscape and unleash the power of business data.

Announcing 麻豆原创 Datasphere

We are excited to announce听, a comprehensive data service built on 麻豆原创 Business Technology Platform (麻豆原创 BTP) that enables every data professional to deliver seamless and scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization, 麻豆原创 Datasphere enables data professionals to easily distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across the data landscape.

麻豆原创 Datasphere is the next generation of 麻豆原创 Data Warehouse Cloud. We have kept all the capabilities that customers love using today and added new capabilities that enhance the discovery, modeling, and distribution of mission-critical business data. Existing 麻豆原创 Data Warehouse Cloud customers will automatically see the new functionalities in their product environment today and can continue running their workloads without disruption 鈥� no migration necessary.

麻豆原创 Datasphere offers a range of benefits for businesses to enhance their data strategies.

Access Authoritative Data

麻豆原创 Datasphere provides a direct line to mission-critical business data and metadata 鈥� and the critical relationship between them 鈥� from 麻豆原创 applications. It makes it effortless for data professionals to solve complex business semantic modeling requirements via the new 麻豆原创 Datasphere Analytic Model. This capability provides accelerated time-to-value by automatically reusing the semantical definitions and associations from 麻豆原创 applications, simplifying the steps data professionals must take to deliver mission-critical business data across their organization. We have also made it easier to automatically discover, manage, and govern your data with 麻豆原创 Datasphere Catalog. Additionally, cataloging data stored in 麻豆原创 Analytics Cloud and 麻豆原创 Datasphere will be provided at no additional charge.

Enrich All Data Projects

麻豆原创 Datasphere enables organizations to combine all their data and implement transformations that help ensure everyone is always working off the same data. It supports both data federation and new fast data replication, offering powerful options to combine data sources and harmonize heterogeneous data into a business semantic model of customers鈥� diverse data landscapes. Access to industry data is now even easier with 麻豆原创 Datasphere Marketplace, which has more than 3,000 curated data sets that can be acquired at the touch of a button to quickly enrich data projects with topical, trusted data. Moreover, we are announcing partnerships with industry-leading open data partners to closely integrate their data and artificial intelligence (AI) platforms with 麻豆原创 Datasphere to enable customers to combine 麻豆原创 data with other data sources unlike ever before.

Simplify the Data Landscape

麻豆原创 Datasphere runs in every cloud and against hybrid environments. This flexibility allows data professionals to have secure access to all their data no matter where it resides. It also enables customers to maximize their on-premise investments, such as 麻豆原创 Business Warehouse (麻豆原创 BW). 麻豆原创 Datasphere, BW bridge, enables the reuse of 麻豆原创 BW models and connectors, providing a transition path to the public cloud for 麻豆原创 NetWeaver BW and 麻豆原创 BW/4HANA customers. Once data is integrated, harmonized, and improved in 麻豆原创 Datasphere, data professionals can use 麻豆原创 Datasphere Spaces 鈥� a feature to organize, group, and manage data as well as control the level of visibility and collaboration 鈥� to create a 鈥渧irtual workspace.鈥� These virtual workspaces can then be delivered to data consumers that rely on packaged data such as marketing, sales, supply chain, or partner data and AI teams.

麻豆原创 Datasphere can make real the promise of business data being an always-on, always high-quality resource that can be relied on 鈥� without having to second guess if it is fit for purpose.

Building a Powerful Open Data Ecosystem Around 麻豆原创 Datasphere

In a major moment for our industry and customers, 麻豆原创 is partnering with other open data partners 鈥�,听,听, and听听鈥� to radically simplify customers鈥� data landscapes with a business data fabric. By closely integrating their data and AI platforms with 麻豆原创 Datasphere, organizations can now access their mission-critical business data across any cloud infrastructure.

Each of these strategic partners bring the unique strengths of their ecosystems:

• Databricks听integrates 麻豆原创 data, with its complete business context, with its Data Lakehouse platform
• Collibra听future proofs data governance, privacy, and compliance initiatives
• Confluent听sets data in motion with its data streaming platform
• DataRobot听empowers organizations to leverage augmented intelligence with automated machine learning

Delivering a Business Data Fabric

麻豆原创 Datasphere, and its open data ecosystem, is the technology foundation that enables a business data fabric. This is a data management architecture that focuses on delivering an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. A business data fabric equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. As organizations need accurate data that is quickly available and described with business-friendly terms, this approach enables data professionals to permeate the clarity that business semantics provide throughout every use case.

鈥淭he business data fabric architecture enables us to bring 麻豆原创 and non-麻豆原创 data together in the seamless and self-service way we鈥檝e been envisioning. 麻豆原创 Datasphere provided us with a solution to build a harmonized layer across 麻豆原创 and non-麻豆原创, cloud, or on-premise data sources, making the best use of our existing investments in 麻豆原创, Microsoft Azure, Salesforce, and Oracle.鈥�

鈥撎�David Johnston, Chief Information Officer, Messer

麻豆原创 Datasphere represents the tailored integration point for all partners enabling customers to connect, unify, and manage 麻豆原创 and non-麻豆原创 data unlike ever before. With the support of some of the world鈥檚 most renowned advisory firms, such as Accenture, CapGemini, Deloitte, EY, IBM, and听, every organization can enable a business data fabric to deliver meaningful data to their data consumers.

We welcome all partners to join us in the mission of empowering customers to unleash the power of business data.

Get Started Today

Start your journey today to unleash the power of your business data across your data landscape with 麻豆原创 Datasphere.

• 听and the new capabilities with the guided experience
• 听instantly with the free tier of 麻豆原创 BTP
• 听to hear more about these new 麻豆原创 and partner innovations
• Read听A Deeper Look Into How 麻豆原创 Datasphere Enables a Business Data Fabric, by Juergen Muller, CTO and member of the Executive Board of 麻豆原创 SE

The post Unleashing the Power of Business Data with 麻豆原创 Datasphere appeared first on 麻豆原创 Southeast Asia News Center.

The long-term future of companies depends on their ability to proactively respond to today’s challenging, unprecedented market conditions. To compete in a highly disruptive and rapidly evolving world, companies must be able to rewire their organisations to create efficient, automated business processes 鈥� applying advanced technologies to transform static, siloed processes into agile, intelligent workflows.

鈥淎sia is home to some of the most innovative countries in the world. Along with a huge and rapidly growing young talent pool, we are also seeing significant investments flowing into the region, making it a hotbed for startup innovation, said Paul Marriott, President, 麻豆原创 Asia Pacific and Japan. 鈥淭hrough this collaboration with HCLTech, we are bringing together the right technology, support, and insight to further accelerate startup innovation and introduce game-changing solutions 鈥� especially in the areas most essential in building future-readiness 鈥� to more of our customers, more quickly.鈥�

The 13-week program, in collaboration with HCLTech鈥檚 麻豆原创 Ecosystem Unit and eSTiP^TM, its flagship open innovation platform and program, offers startups access to curated mentorship from 麻豆原创 and HCLTech executives, exposure to 麻豆原创^庐 technology and application programming interfaces (APIs), and opportunities to collaborate with 麻豆原创 and HCLTech customers around the world.

鈥淗CLTech is a catalyst for change, and our commitment to innovation only strengthens with this program that we are driving in collaboration with 麻豆原创.iO. We jointly aspire for accelerated growth for our customers, leveraging niche and meaningful innovations. We are keen to establish our thought leadership in the areas of sustainability and Industry 4.0, and this collaboration is a step towards that鈥�, said Kalyan Kumar, Chief Technology Officer and Head, Ecosystems at HCLTech.听

The following startups are participating in the program:

1. combines machine learning,听remote telerobotics and off-grid capabilities for drone services听that can deploy and manage commercial condition monitoring, security and safety solutions.
2. specialises in humanising digital customer service and bridging the gap between enterprises and their customers.
3. enhances workplace safety culture by enabling real-time and continuous monitoring using AI-video analytics.
4. enables companies to measure carbon emissions based on energy consumed by real estate and transportation assets.
5. automates modern supply chains with route optimisation, electronic proof-of-delivery, instant notifications and real-time job-status tracking.

For program developments and opportunities to participate in innovation workshops with the selected startups, look out for updates on .

About HCLTech

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for you, visit .

About 麻豆原创.iO

麻豆原创.iO delivers new partnerships and products for 麻豆原创 by accelerating and scaling startup innovation as well as incubating employee ventures. 麻豆原创.iO brings together innovators from every region, industry, and line of business to transform how businesses run. Since 2017, 麻豆原创.iO has helped 450+ external startups and internal ventures accelerate their growth while enabling thousands of 麻豆原创 customers to access innovation. For more information, visit .

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organisations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit .

漏 2022 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see听听for additional trademark information and notices.

The post 麻豆原创.iO Foundry Singapore and HCLTech Launch Intelligent Enterprise Program appeared first on 麻豆原创 Southeast Asia News Center.

Drawing on the unique depth and breadth of 麻豆原创 Business Technology Platform (麻豆原创 BTP), 麻豆原创 Build is a low-code solution that puts 麻豆原创鈥檚 world-class enterprise technology in the hands of business users, giving them direct, secure access to the end-to-end processes, data and context they need to make smarter decisions and drive innovation quickly. The offering empowers business users with minimal technical expertise to create and augment enterprise applications, automate processes and design business sites with drag-and-drop simplicity.

鈥溌槎乖� Build brings together the world鈥檚 most powerful business applications with a platform that鈥檚 been designed to rapidly unleash business users鈥� expertise,鈥� said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. 鈥淚n a volatile business landscape, 麻豆原创 Build and the full suite of innovations we鈥檙e launching today 鈥� from our new partnership with Coursera to enhancements across our enterprise portfolio 鈥� help customers future-proof their business and extract maximum value from their technology investments.鈥�

With 麻豆原创 Build, business users have the full power of 麻豆原创 BTP and business application data from 麻豆原创 at their fingertips. Users can integrate systems; intelligently monitor, analyze and automate processes; and build applications for the last mile of innovation 鈥� all without moving their data to an external system. With 麻豆原创 Signavio solutions natively integrated, users of 麻豆原创 Build also get in-depth visibility into all their processes, so they know where to focus to achieve the greatest impact as they innovate and automate. More than 275,000 process reference points from 4,000 customers and 1,300 use-case specific workflows and automations let users instantly tap into the full spectrum of business expertise built into 麻豆原创 technology. 麻豆原创 Build also works with non-麻豆原创 software systems. And the new 麻豆原创 Builders program helps users ramp up quickly and connect with their peers through hands-on sessions and forums for sharing best practices.

鈥淕iven that the demand for contemporary digital solutions is greater than the ability of professional developers to supply them, IDC envisions that business professionals will become increasingly involved in initiatives to create digital solutions to solve pressing business problems,鈥� said Arnal Dayaratna, Research Vice President, Software Development, IDC. 鈥淲orldwide, IDC expects more than 100 million business professionals will become involved in the production of digital solutions over the next 10 years. 麻豆原创 Build鈥檚 low-code development solutions empower business users to harness their domain expertise to rapidly build and iterate on digital solutions at scale.鈥�

麻豆原创 Build is already demonstrating impact. 鈥淭hanks to 麻豆原创 Build we easily built a better experience for our customers while dramatically reducing our development costs by 90%,鈥� said Spencer Cook, XM Advocates Lead,听, a leading experience management company. 鈥淚 was able to quickly build the application to enhance our customer reference program, which is going to greatly increase customer satisfaction.鈥�

As every company becomes a technology company, 麻豆原创 recognizes the increasing premium put on the skills and insights only professional developers can deliver. 麻豆原创 is committed to upskilling 2 million developers worldwide by 2025 by tripling free learning offerings on the听, partnering with world-class learning platform provider Coursera Inc. to help people launch careers within the 麻豆原创 ecosystem and empowering underserved audiences in technology.

鈥淚鈥檓 happy to announce that today 麻豆原创 is launching an entry-level professional certificate on Coursera. This certificate is designed for learners of all backgrounds, with no college degree or industry experience required,鈥� said Jeff Maggioncalda, CEO, Coursera Inc. 鈥淚t will prepare learners for entry-level job roles and in some of the most in-demand fields. We鈥檙e honored to partner with 麻豆原创 to increase access to job-related skills and to expand economic opportunity for everyone.鈥�

These announcements come amid a host of innovations announced at 麻豆原创 TechEd to help 麻豆原创 customers and partners continue driving the transformations they need to stay successful. From an all-new native Web entry point for business apps that increase productivity in the cloud to innovations across intelligent 麻豆原创 applications, 麻豆原创 Digital Supply Chain solutions and 麻豆原创 solutions for sustainability鈥� 麻豆原创 is unleashing the power of business at 麻豆原创 TechEd in 2022.听.

This was originally published on the global 麻豆原创 News Center.

About 麻豆原创

麻豆原创鈥檚 strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers鈥� businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want 鈥� without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people鈥檚 lives. For more information, visit听.

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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 麻豆原创鈥檚 2021 Annual Report on Form 20-F.
漏 2022 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see听听for additional trademark information and notices.
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The post 麻豆原创 Launches 麻豆原创 Build to Unleash Business Expertise, Partners with Coursera to Empower a New Generation of Developers appeared first on 麻豆原创 Southeast Asia News Center.

SENSYN ROBOTICS is the first 麻豆原创 partner in Japan to develop a solution for 麻豆原创鈥檚 industry cloud portfolio, which delivers specialized applications designed to address specific industry needs. Built on the open 麻豆原创 Business Technology Platform, these solutions help customers rapidly adopt innovations as part of their technology landscape. SENSYN CORE is available now on , the online marketplace for 麻豆原创 and partner offerings.

鈥淓merging technologies give utilities and energy companies the potential to be safer, and more efficient,鈥� said Takuya Kitamura, CEO of SENSYN ROBOTICS. 鈥淲e aim to enable reliable inspections of plant facilities through the use of digital platforms and robotics, leveraging big data and analytics to recognize and address anomalies faster, ultimately driving greater reliability and boosting productivity.鈥�

In 2021, 麻豆原创 partner SENSYN ROBOTICS was selected to participate in the 麻豆原创.iO Foundry Tokyo, 麻豆原创’s start-up accelerator program. This inspired a collaboration with 麻豆原创 to create SENSYN CORE, a solution that supports the maintenance operation of large-scale plants owned by oil, chemical, materials, gas, and power companies by integrating 麻豆原创’s facility maintenance solution, 麻豆原创 Asset Intelligence Network, which runs on the 麻豆原创 Business Technology Platform.

Using the SENSYN CORE platform and application services, 麻豆原创 Asset Intelligence Network retrieves stored building and facility information, selects the plant facilities to be inspected, and links that information to SENSYN CORE. Drone flight routes are then generated by SENSYN CORE using those insights, allowing the drone to autonomously start the inspection and collect data such as photographs of plant facilities. SENSYN CORE can detect anomalies or warning signs using the data collected, and adds commentary based on the nature of the detected issue. The results are linked to 麻豆原创’s asset management solution, and flagged to relevant personnel, who can then act as needed.

The solution also offers benefits for sustainability and environmental health and safety through increased use of automated maintenance rather than manned support, as well as reducing the number of trips and mitigating human error on plant facilities.

鈥溌槎乖� partners are a vital component of the industry cloud initiative,鈥� said Kai Finck, 麻豆原创 Global Senior Vice President and Head of Cloud Industry Program. 鈥淲ith open APIs, process and data models, as well as a wealth of cloud native technologies to innovate at the vertical edge, 麻豆原创鈥檚 industry cloud is attracting partners like SENSYN ROBOTICS, who are looking to create 鈥渘ext business practices鈥� for enterprises and business networks that will help accelerate the pace at which customers can address shifting business demands.鈥�

The post SENSYN ROBOTICS Collaborates with 麻豆原创 to Launch SENSYN CORE appeared first on 麻豆原创 Southeast Asia News Center.