BERLIN听鈥� At 麻豆原创 TechEd in 2025,听听(NYSE: 麻豆原创) brings AI deep into the development process to level up how developers build.

New AI-driven capabilities in the 麻豆原创 Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, 麻豆原创 also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

鈥溌槎乖粹�檚 announcements today give developers the tools they need to deliver at the speed of AI,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE. 鈥淚nnovations across 麻豆原创鈥檚 unique flywheel of applications, data and AI put developers in the driver鈥檚 seat 鈥� where they belong.鈥�

Opening the Developer Ecosystem

麻豆原创 Build, the company鈥檚 flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use 麻豆原创 development frameworks with new 麻豆原创 Build local Model Context Protocol Servers. Visual Studio Code users will be able to access 麻豆原创 Build capabilities directly in their development environment with a new 麻豆原创 Build extension. This extension will also be made available later on Open VSX Registry for other development environments. 麻豆原创 and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend 麻豆原创鈥檚 ready-to-use agents and build new agents grounded in 麻豆原创 business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. 麻豆原创 is giving developers more ways to put that data to work through 麻豆原创 Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new 麻豆原创 Snowflake solution extension for 麻豆原创 Business Data Cloud brings Snowflake鈥檚 fully managed data and AI capabilities directly to 麻豆原创 customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. 麻豆原创 also announced a new 麻豆原创 Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with 麻豆原创 data.

With a new data product studio capability in 麻豆原创 Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the 麻豆原创 HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across 麻豆原创 database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

麻豆原创 is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take听AI from insight to action.

麻豆原创 introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. 麻豆原创-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. 麻豆原创 launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, 麻豆原创 introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, 麻豆原创 is pledging to equip 12 million people worldwide with AI-ready skills by 2030. 麻豆原创 will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

麻豆原创 TechEd 2025 Media & Analyst Program: Find event information, news and media assets all in one place

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October 8 2025 鈥� 麻豆原创 honoured Australia and New Zealand鈥檚 most forward-thinking organisations in the 麻豆原创 Best Tech Awards 2025, alongside the channel partners who enabled their digital transformation. From more than 100 organisations who competed, winners were selected across 13 categories for disruptive use cases and technology deployments that set new industry benchmarks.

Winning entries were chosen for projects that demonstrated measurable business impact, innovation and leadership in their fields. Judges looked for organisations that used 麻豆原创 solutions to streamline operations, boost productivity, deliver outstanding customer and employee experiences, harness the power of data and AI and drive sustainable growth.

Commenting on award submissions Angela Colantuono, President and Managing Director of 麻豆原创 ANZ said, 鈥淚n today鈥檚 unforgiving business environment, standing still is not an option. These award winners show that smart technology investments don鈥檛 just cut costs, they unlock new revenue streams, sharpen competitive edge and turn IT into a true growth engine. It鈥檚 inspiring to see these organisations and the channel partners they work with re-imagine how value gets created and set the benchmark for their industries.鈥� 听

2025 winners听

• Business Transformation: and 听听
• Next Gen Innovator: and
• Industry Disruptor: 听听
• Business AI: 听听
• Data and Analytics: 听听
• ERP Fast Growth: 听听
• Intelligent ERP: 听听
• Supply Chain Management: 听
• Human Capital Management: 听
• Customer Experience: 听
• Spend Management: 听
• Concur: 听听
• The Chris O鈥橞rien Award*: 听听

The success of Award entrants was due in no small part to the channel partners involved, with projects by Accenture, Bluetree, Bonfire, Covantage Pty Ltd, Deloitte, Delrae, Discovery Consulting, DXC Technology, EPI-USE, FAIR Consulting Group, Gravity IT, Lagom, MSG Global and SimpleMDG featuring.听 听

In particular, projects from Accenture, Covantage Pty Ltd, Deloitte, DXC Technology and EPI-USE saw notable success.听

Award recipients were announced in-person at the Art Gallery of NSW on the evening of 7 October 2025.听

The following is a complete list of winners and finalists for the 麻豆原创 Best Tech Awards 2025:听

Best Tech 麻豆原创 Business Transformation:听

Celebrating organisations that have successfully implemented 麻豆原创 Signavio, LeanIX and/or WalkMe to optimise processes and improve operational efficiency.鈥�听

Winners: and 听

Finalists:听

• 听
• 听
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Best Tech 麻豆原创 Next Gen Innovator:听

Organisations鈥痷sing 麻豆原创 solutions to drive digital transformation, innovation and agility.鈥�听

Winners: and 听

Finalists:听

• 听
• 听
• 听
• 听

Best Tech 麻豆原创 Industry Disruptor:听

The 麻豆原创 Industry Disruptor Award recognises organisations that are leading from the front 鈥� pushing boundaries, challenging norms and driving meaningful change through bold innovation.鈥�听

Winner:
Runner-Up: 听

Finalists:听

• 听
• 听
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Best Tech 麻豆原创 Business AI:听

Artificial intelligence is transforming business by introducing innovative methods and growth opportunities.鈥疶his Award recognises organisations that have utilised 麻豆原创 Business AI to enhance operations and achieve significant outcomes.听听

Winner: 听

Finalists:听

• 听
• 听

Best Tech 麻豆原创 Data and Analytics:听

Organisations using 麻豆原创 data and analytics solutions to gain insights, make data-driven decisions and drive business outcomes.鈥�听

Winner: 听

Finalists:听

• 听
• 听
• 听

Best Tech 麻豆原创 ERP Fast Growth:听

Organisations harnessing 麻豆原创 ERP to fuel agility, clarity and confident decision-making during periods of rapid growth.

Winner: 听

Finalists:听

• 听
• 听

Best Tech 麻豆原创 Intelligent ERP:听

Organisations using 麻豆原创鈥檚 intelligent ERP solutions to optimise business processes, improve productivity, reduce costs and provide real-time insights into business operations.鈥�听

Winners: 听听

Runner-Up: 听

Finalists:听听

• 听
• 听
• 听
• 听

Best Tech 麻豆原创 Supply Chain Management:听

Organisations using supply chain management solutions from 麻豆原创 to achieve real-time insights into the supply chain, improve collaboration across partners and reduce costs.听

Winner: 听

Finalists:听

• 听

Best Tech Human Capital Management:听听

Organisations鈥痷sing 麻豆原创 SuccessFactors HCM solutions to drive employee engagement, productivity and retention.鈥�听

Winner:
Runner-Up:
Finalists:听

• 听
• 听
• 听
• 听

Best Tech 麻豆原创 Customer Experience:听

Organisations using 麻豆原创 Customer Experience solutions to drive customer engagement, loyalty and retention.鈥�听

Winners: 听

Runner-Up: 听

Finalists:听

• 听
• 听
• 听

Best Tech 麻豆原创 Spend Management:听

Organisations using the 麻豆原创 Spend Management program and 麻豆原创 Business Network solutions to provide greater visibility into spend data, reduce costs and increase organisational efficiency.鈥�听

Winner:

Finalists:听

• 听
• 听

Best Tech 麻豆原创 Concur:听

Organisations using 麻豆原创 Concur to streamline travel, expense and invoice management.鈥�听

Winner: 听

Finalists:听

• 听
• 听
• 听

The Chris O鈥橞rien Award:听

Organisations using 麻豆原创 solutions to achieve sustainability goals, improve social impact and create shared value. This award is named after our customer officer, Chris O’Brien, who passed in 2019. Chris founded Buy Undies Give Undies, an organisation that matches every pair sold with one donated to kids in need.

Winner: 听

Finalists:听

• 听
• 听
• 听

For more detail on the Best Tech Awards 2025 and all nominees, .

Visit the听. Get 麻豆原创 news via听听and听.

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

Note to editors:

For more information, press only:
Rebecca English, +61 (0) 438 520 181, rebecca.english@sap.com, AEST
麻豆原创 麻豆原创 Room

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 2024 Annual Report on Form 20-F.

漏 2025 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.

Please consider our . If you received this press release in your e-mail and you wish to unsubscribe to our mailing list please contact听press@sap.com听and write Unsubscribe in the subject line.鈥�

The post Telstra, Cochlear and Lion Among Those Spotlighted for Game-Changing Innovation by 麻豆原创 Best Tech Awards 2025 appeared first on 麻豆原创 Australia & New Zealand News Center.

听At its flagship event , (NYSE: 麻豆原创), today highlighted the five most widely adopted AI use cases among its Australian customers. Based on analysis of all 麻豆原创 customers in Australia and New Zealand (ANZ) between May 2024 to May 2025, the most popular AI use cases in ANZ, these include:听

• Automated expense generation using receipt images听

• Automated invoice processing听听

• Expense verification and compliance checks听

• Real-time alerts for supply chain disruptions听

• Sales demand forecasting powered by predictive analytics听

鈥淢y conversations with CEOs are increasingly revealing how they are looking to embed AI into some of the most fundamental parts of their business,鈥� said Angela Colantuono, Managing Director, 麻豆原创 Australia. 鈥淭hese applications are helping Australian organisations make faster, smarter decisions, reduce risk and unlock new value. But to fully realise AI鈥檚 potential, we need to invest just as much in people as we do in technology.鈥�听

Dr Catriona Wallace, AI Ethics Expert and Founder, Responsible Metaverse Alliance, who keynoted at the event shared, 鈥淎I is the number one existential risk we face today. Yet only a small fraction of Australian organisations are equipped to use it responsibly. If we want AI to drive innovation, productivity and public trust, we must move beyond ambition to action. That means embedding responsible AI frameworks that are transparent, ethical and human-centred, and doing it now, before the gap between use and governance becomes too wide to close.鈥�

Customers and partners across Australia and New Zealand show AI momentum听

From education to manufacturing, 麻豆原创 partners and customers are also showcasing strong momentum in AI and cloud transformation.听

La Trobe University has become the first university in the ANZ region to go live with 麻豆原创 S/4HANA Cloud Public Edition leveraging the GROW with 麻豆原创 transformation journey.听 From the move, La Trobe has been able to modernise its core operations across Finance, Procurement, Logistics, Sales, R&D Engineering and Real Estate and lay the groundwork for future innovation, including AI-driven insights and automation.听

鈥淭his transformation is a major step forward in how we operate,鈥� said Shainal Kavar, Chief Information Officer, La Trobe University. 鈥淚t鈥檚 helping us simplify complexity, streamline processes, improve reporting and decision-making and free up our people to focus on higher-value work. Most importantly, it sets us up to embrace innovation and unlock the potential of AI in the years ahead.鈥�听

Lion, one of Australia and New Zealand鈥檚 leading brewers, is accelerating its cloud-first transformation with RISE with 麻豆原创 on AWS. By adopting a clean core, the 麻豆原创 principle of keeping core ERP system free from customisations, as well as 麻豆原创鈥檚 Business Technology Platform, Lion has improved order-to-cash cycles, scaled digital channels, and empowered teams with real-time insights. The company also partnered with 麻豆原创 to build 鈥楯oey鈥�, an AI-powered beer recommendation app, in under 10 days, demonstrating the speed and value of 麻豆原创鈥檚 generative AI tools.听

鈥淎I is helping us move faster, make smarter decisions, and deliver better customer experiences,鈥� said Ram Kalyanasundaram, Group Technology and Digital Transformation Director at Lion. 鈥淚t鈥檚 not just about automation, it鈥檚 about enabling our teams to focus on what matters and giving them the tools to innovate. 麻豆原创鈥檚 AI capabilities have been a game-changer in how we think, operate and grow.鈥�听

麻豆原创 Intrepid Women AI Tour 2026听

麻豆原创 is also proud to announce the return of the 麻豆原创 AI Intrepid Women Tour in January 2026. This four-day executive study program is designed to empower female leaders with the skills, confidence, and strategic insight to lead in the age of AI.听

Following the success of the 2025 tour, the 2026 program will bring together Australia鈥檚 most influential female technology executives to explore AI innovation across 麻豆原创鈥檚 global innovation hubs.听

鈥淟ess than 15% of senior AI executives are women today,鈥� said Colantuono. 鈥淟ast year鈥檚 program proved that when you bring female leaders together to build AI literacy and share experiences, the impact is extraordinary 鈥� not just for their businesses, but for the future of innovation in Australia.鈥�听

Visit the . Follow 麻豆原创 at .鈥赌�鈥�听

鈥�Media Contact:听

Rebecca English (+61) 438 520 181, rebec@sap.com, AEST
麻豆原创 麻豆原创 Room; press@sap.com听

About 麻豆原创鈥�

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.鈥�听

# # #鈥�听

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 2024 Annual Report on Form 20-F.鈥�

漏 2025 麻豆原创 SE. All rights reserved.鈥�

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 for additional trademark information and notices.鈥�鈥�听

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The focus of more than 5,000 tech and business decision-makers was fixed firmly on 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.听

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听

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.听

Juergen Mueller, Chief Technology Officer and Executive Board Member at 麻豆原创 SE at 麻豆原创 TechEd 2023

A is for Automation听

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

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, , and , 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.听

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.听听

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.听听

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.听

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

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�听

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.听

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 and 麻豆原创 Build Code, as well as increasing amounts of natural language interaction through , it is easier than ever to modernise 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.听

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�听

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.听

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.听

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.听听

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.听

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.听

Read more about the new announcements at .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 Australia & New Zealand News Center.

AI serves as a powerful tool for extracting actionable insights from the vast amount of reliable data generated and stored within 麻豆原创 systems.听 Combining AI with 麻豆原创 BTP, advanced data analytics and machine learning algorithms becomes possible, allowing organisations to tap into the potential of their 麻豆原创 data along with the AI technologies available in the market.

By harnessing artificial intelligence, 麻豆原创 BTP combines business data from S4 with external data, enabling the creation of increasingly precise models in real-time.听 This ensures a versatile and agile platform that propels innovation while retaining a clean digital core. This demonstrates a shift from traditional systems of record to systems of intelligence.

The Pillars of 麻豆原创 BTP

Five pillars support 麻豆原创 BTP: App development, automation, integration, data analytics, and AI. These pillars interplay with embedded intelligent technologies like situation handling, machine learning, and analytics, all fully integrated within the 麻豆原创 S/4HANA Cloud. Furthermore, side-by-side capabilities through 麻豆原创 BTP offer additional intelligent industry functionalities like Intelligent Situation Automation, 麻豆原创 Build Process Automation, and chatbot technology.

听

AI-Powered Capabilities听

麻豆原创 has embedded AI into its products for many years, from journal reconciliations in S4 to AI-powered writing assistants aimed to streamline HR-related tasks in Success Factors.

These innovative functionalities are not merely theoretical but are practically applicable, ensuring HR admins, managers, and employees can operate more efficiently.听 In fact, these innovations exist across all the functions in your 麻豆原创 landscape such as procurement, finance, and human resources.

How to get started?

Automation is pivotal for managing manual and repetitive tasks, especially those involving the consolidation and manipulation of data from diverse sources like MS Excel, vendor portals, and 麻豆原创 systems. High-volume processes, often exceeding 1000 steps a day鈥攕uch as data migrations and approvals鈥攁nd those requiring access to multiple applications, can be streamlined, ensuring seamless operation across your 麻豆原创 environment.

麻豆原创 has provided templates across all the business functions to accelerate these initiatives, as shown below.

A More Advanced AI Use Case

The transition from a rules-based approach to an AI-empowered, data-driven model is illustrated through an example case study of an Australian customer.听 A decade ago, an employee scripted manual 鈥渋f:then鈥� statements for road upgrades; a process that has now been revolutionised by AI. AI can now analyse these rules and infuse them with real-time data like weather, road usage, and vehicle types. As a part of their operations, this customer assesses road conditions using specialised trucks called profilometers, generating colossal data volumes that outpace their storage capacities. 麻豆原创 BTP, however, can house this data in expansive lakes, giving AI the agility to model exponentially precise 鈥渋f:then鈥� statements.

The shift will allow this customer to manage large datasets from disparate sources seamlessly, scaling memory and compute capabilities to handle big data without losing granularity. Moreover, unlike fixed rules, the AI algorithms continually evolve based on data, thereby ensuring maintenance and road upgrade strategies that are timely, relevant, and efficient.

In the realm of road maintenance, AI鈥檚 practical application is manifest, where even a small percentage improvement can result in significant savings for this customer.听 This financial efficacy, combined with the potential to extend the useful life of assets, underscores the tangible, impactful benefits of combining AI with 麻豆原创 BTP.

In Summation

Early AI integration can offer businesses a decisive advantage. 麻豆原创鈥檚 AI vision isn鈥檛 just about pioneering technology; it’s about tangible, real-world applications. From simple tools deployable within days to intricate endeavours with broad impact.

If you鈥檇 like to find out about the value AI can bring to businesses through automation and explore other use cases, then visit the website.

The post Why Business Data is Fundamental to Artificial Intelligence appeared first on 麻豆原创 Australia & New Zealand News Center.

鈥淚 was diagnosed with Parkinson鈥檚 Disease three years ago. I stepped down, just a few weeks ago, because of the disease.鈥�

Mark Hettler, former Head of Partner and Channels, 麻豆原创 ANZ

PD is what鈥檚 known as a progressive neurodegenerative disorder. It affects a patient鈥檚 whole-body and is often characterised by tremors, stiffness and rigidity, and slowness of movement. It is the country鈥檚 second most common neurodegenerative disease, impacting more than 100,000 Australians and with over 30 new cases diagnosed every day.听听

Because there鈥檚 no cure for PD, 鈥渢he biggest challenge in managing patients is achieving adequate symptom control,鈥� according to Dr Yun Hwang, a neurologist who works on the Central Coast of New South Wales.听This requires clinicians to accurately assess fluctuations in patients鈥� symptoms.

Yet, despite the scale of the disease and the focus some famous patients have brought it, there has been little innovation for PD for many years.听

鈥淭he diagnostic process and treatment principles of Parkinson’s Disease has not changed significantly since the 1960s.”听

Dr. Yun Hwang, Neurologist

That鈥檚 why 麻豆原创 and DXC Technology partnered with a team of clinicians, led by Dr. Yun Hwang, to create DXC Tele-Parkinson with 麻豆原创 BTP, a new solution to manage PD. The idea uses the power of Artificial Intelligence (AI) to revolutionise patient care, bringing a new era of personalised, accurate, and efficient management to Parkinson鈥檚 Disease.听

鈥�The Parkinson’s Disease Spiral Research Project: A Leap Forward in Patient Care听

Parkinson鈥檚 Disease treatment normally involves medication that works to improve patient鈥檚 symptoms. However, the effects of the medication are not consistent, and patients experience fluctuations in symptoms throughout the day, and over time.听听

Parkinson鈥檚 Disease patients experience 鈥渙n鈥� periods where their symptoms are well controlled, and 鈥渙ff鈥� periods where their symptoms are suboptimally controlled. Clinicians need to understand these fluctuations to treat patients鈥� symptoms more accurately, and managing them is an important challenge in the long-term treatment of PD.3听

Currently, clinicians examine patients using various assessment techniques including physical examination, handwriting tests, and movement analysis. For example, one way to demonstrate whether a patient is in an 鈥榦n鈥� or 鈥榦ff鈥� state is drawing a spiral using pen and paper.鈥� These methods help clinicians to understand a Parkinson鈥檚 Disease patient鈥檚 symptom control.听

But the problem with many of these techniques is that tests were only done during clinician appointments 鈥� a single point in time. That meant clinicians lacked an understanding of the patient鈥檚 entire experience outside their clinics.听听

鈥淲hen I was diagnosed I didn鈥檛 know much about Parkinson鈥檚 Disease. My GP couldn鈥檛 pick it but my neurologist identified it straight away. That鈥檚 because there鈥檚 no blood test or brain test, it鈥檚 all based on clinical observation.鈥�

Mark Hettler, former Head of Partner and Channels, 麻豆原创 ANZ

In 2020, the New South Wales Health Central Coast Local Health District approved the research project 鈥�Parkinson’s Disease Spiral Analysis Project鈥� (PD-麻豆原创).听 The intent was to deliver a digitised solution for Parkinson’s Disease patients, carers, and clinicians to enable the collection of spiral tests and associated metrics from patients outside clinical appointments.听听

DXC Tele-Parkinson with 麻豆原创 BTP: A Digital Revolution for Patients and Clinicians听

DXC Tele-Parkinson with 麻豆原创 BTP is an AI-powered mobile application which transforms care for Parkinson鈥檚 Disease patients and clinicians. Patients simply draw a spiral on a piece of paper, snap a photo, and let the artificial intelligence (AI) take over.听听

The AI algorithm delves into the spiral’s nuances, assessing elements like line shakiness and crossings, while also capturing additional data such as mood, blood pressure, sleep patterns, and medication. The AI engine is therefore able to determine a patient鈥檚 鈥渙n鈥� or 鈥渙ff鈥� status.听听

麻豆原创 partner DXC created the solution and developed the user interface, while 麻豆原创 created the AI model and algorithm. 麻豆原创鈥檚 Business Technology Platform (BTP) serves as the foundation for the app, allowing the solution to be deployed on desktop for clinicians and mobile for patients and their caregivers. BTP enables patients to securely upload data multiple times a day. This wealth of information allows clinicians to monitor patients’ progress and adjust treatments as needed.听

By integrating AI technology into the clinic room, Tele-Parkinson empowers clinicians with a deeper understanding of patients’ movement and symptom control. The wealth of data and real-time insights lead to faster, more informed decisions, and a more effective healthcare system.听听

Unlocking New Possibilities: The Benefits of DXC Tele-Parkinson with 麻豆原创 BTP听

Tele-Parkinson marks the first step in bringing AI into PD care.听听

鈥淚 think this is an essential evolution in the management of Parkinson鈥檚 disease鈥� – Associate Professor Scott Whyte, Neurologist

Tele-Parkinson has the power to the improve the lives of those living with PD. Patients are empowered to understand their disease and take an active role in their well-being.听 Tele-Parkinson also has the ability to improve the accessibility of PD care, especially for those in remote or regional locations.听听

As Dr. Yun Hwang notes, 鈥淚t will save some of these individuals whose ability is impaired by Parkinson鈥檚 disease, and perhaps reduce their travel burden. Instead of having to see a neurologist face to face, they can have many data points that they can present to the neurologist which can be done remotely.鈥澨�听

The collaboration between 麻豆原创 and DXC has unlocked a new world of possibilities for Parkinson’s patients, carers, and clinicians alike. Armed with real-time insights and a profound understanding of each patient鈥檚 unique journey, clinicians are empowered to craft treatment plans tailored to the individuals needs and aspirations.听听

鈥淵ou don鈥檛 get better from this disease. All you can do is manage it. So what we can do to help diagnosis and treatment is so important, because it affects my life.鈥�

Mark Hettler, former Head of Partner and Channels, 麻豆原创 ANZ

As new management paradigm emerges 鈥� one that places patients at the heart of their own care journey, accompanied by AI.听

The post How AI Is Creating The Next Generation Of Treatment For Parkinson’s Disease appeared first on 麻豆原创 Australia & New Zealand News Center.

This blog will cover the Services available from a technical architecture and infrastructure perspective for a brownfield conversion.

For those just starting with 麻豆原创 S/4HANA transformation, brownfield is where you decide to convert / upgrade and migrate (if source is non-HANA database) your 麻豆原创 ERP to 麻豆原创 S/4HANA.

To start your journey, 麻豆原创 recommends using the听听which entails various phases in your project lifecycle. 麻豆原创 Services and Support can help guide you through each of these phases. A look at the graphic below will guide you with the services available from the Platform and Infrastructure space.

Phases with Technical and Infrastructure 麻豆原创 Services

Let鈥檚 begin with the DISCOVER phase

DISCOVER

• Architecture Point of View

With the architecture point of view (APoV), customers can get support in an early phase of their project on how to approach their long-term transformation needs. The service contains components for various topics like the analysis of solution-specific transformation routes, or initial evaluation of adopting 麻豆原创 S/4HANA, initial guidance in the analytics and data management area, specific solution and technology focused topics, or a deep-dive into 麻豆原创鈥檚 enterprise architecture and road mapping approach.听These services require architects from different solution area and is not delivered by just one consultant.

• Target Architecture Assessment

When starting digital transformations, 麻豆原创 customers need to define the target architecture and the roadmap to layout how to get there. The target architecture assessment focuses on existing artifacts that the project team has produced and reviews them against the industry reference architecture and the 麻豆原创 road map. As a result, the necessary adjustments to the target application architecture and transition plans are jointly evaluated.

• Instance Strategy

This service component helps you consolidate and simplify the system landscape of your enterprise with a new instance strategy, looking at business strategy, deployment, operations, and technology. We discuss pros and cons of architecture options in the context of your enterprise transformation. With a qualitative and quantitative assessment, we rate the best options against a catalog of 麻豆原创鈥檚 best practice criteria.

After the handover from the DISCOVER phase, we support the customers Journey from PREPARE to DEPLOY to RUN Phase. The results from previous services are used as inputs for the next steps. Example: Target Architecture Assessment provides a viewpoint for the Services team in which areas the customer has agreed upon and which areas to focus on.

The main services in the PREPARE phase are as per the graphic below:

Prepare Phase

• Readiness Check for 麻豆原创 S/4HANA Service

The starting point for any 麻豆原创 S/4HANA journey, this service component provides support in implementing and executing 麻豆原创 Readiness Check when a customer requires support with the otherwise self-service tool set. This service component is only available in conjunction with the scheduling and delivery of a value and implementation strategy service or a migration and upgrade planning workshop.

• Migration Planning Workshop

This service component supports you planning the conversion to 麻豆原创 S/4HANA of an existing 麻豆原创 ERP system and clarifying the functional and technical scope and project management setup of the conversion project. The target system can be on premise or on an infrastructure provider of choice.

• Minimized Downtime Services

During the MPW service, we often realize that customers would like to reduce their technical downtime. To understand the different options available, we have the Minimized Downtime Service. Minimized Downtime Service is designed for customers considering a 麻豆原创 S/4HANA conversion in minimum downtime to ensure business continuity as much as possible. The focus is on the additional activities and requirements on top of a standard 麻豆原创 S/4HANA conversion project to achieve this.

• Technical Architecture and Infrastructure

This service component supports you in the technical design of a scalable, flexible, and maintainable 麻豆原创 solution that fits your specific requirements. This is especially relevant when you plan to migrate or transition to 麻豆原创 ERP on 麻豆原创 S/4HANA.
Major focus is on 麻豆原创 solutions deployed on private cloud, hosted private cloud and hyperscaler (IaaS).

• Scoping Workshop for Prototyping 鈥� ON Prem Only

This service component enables customers to evaluate the implementation of 麻豆原创 products on premise in a short period with their real business scenarios using their data, enabling them to quickly validate the value addition and identify and mitigate risks. The goals and uses cases are defined or validated as in scope of the project. The customer and 麻豆原创 define and agree on a project plan as well as the tasks and responsibilities in the project.

PREARE is the pathway to EXPLORE with main services as below

• Mandatory Preparation for Conversion

This service component prepares, executes, and supports all activities required to meet the functional prerequisites for a system conversion from 麻豆原创 ERP 6.0 to 麻豆原创 S/4HANA. The focus is on mandatory changes only. In addition, all steps required to perform the technical conversion of application data are prepared, executed, and monitored.

• Advanced Sizing Planning Workshop

This service component sharpens the initial sizing in the planning phase. Sizing turns new business requirements into technical requirements for all type of 麻豆原创 solutions like 麻豆原创 Business Technology Platform, 麻豆原创 S/4HANA, Embedded Analytics, applications based on 麻豆原创 Fiori, and so on. By projecting the main (new) volume drivers, sizing is an important exercise prior to planning performance tuning and optimization. Sizing helps to reliably plan infrastructure costs.

• Platform Execution Enablement

This service component allows the customer to choose between different types of coaching for the platform enablement.听The goal is to enable the customer to understand and run platform execution tasks under his own guidance and responsibility. Based on the 麻豆原创 Activate methodology, the component provides high-quality service and predictable results with minimum impact to business.

• Technical Design Evaluation

This service component provides a proactive quality assurance review of the design of the 麻豆原创 solution that is being implemented. We conduct an analysis of all aspects of the solution design across all relevant design perspectives that can lead to early detection of potential solution risks and offers actionable risk mitigation recommendation.

• Business Downtime Optimization

This service components helps minimize business downtime. Experts analyze each business step and its dependencies within the affected system landscape to support efficient downtime planning and reduce the business impact during cutover. They provide guidance selecting the most appropriate tools and methods to optimize the cutover plan and to reduce the impact on the availability of production-critical processes.

• Technical Feasibility Check

This service component supports the customer鈥檚 project team at the early stage of the 麻豆原创 solution implementation, after the business blueprint and the technical design are complete. It focuses on the technical feasibility of the planned 麻豆原创 solution in terms of infrastructure, sizing, integration requirements, and so on for identified core business processes. 麻豆原创 checks that the proposed design is technically realistic, robust, maintainable, and supportable.

• Technical Platform Definition

This service component supports the selection and definition of an IT infrastructure for a 麻豆原创 solution connected to 麻豆原创 Business Technology Platform. The focus is on 麻豆原创 solutions deployed on private cloud, private hosted cloud and/or IaaS. The workshop can define a detailed design, but also verify an existing architecture to prepare the installation of the landscape.

• Result of Prototyping Workshop (On Prem only)

This service component supports the customer leverage the learning and documentation from the prototyping service project to realize the value during project implementation for production use. 麻豆原创 and the customer evaluate the project results based on the measured success criteria and create a list of recommendations for an implementation project, and a proposal for a service plan for continued 麻豆原创 engagement.

By the end of EXPLORE phase you are now ready for REALIZE phase, under REALIZE there are fewer but critical services as below:

• HA/DR Landscape Verification and Testing Support

Customers running their 麻豆原创 solutions on premise or on private hosted cloud with hyperscalers have defined service level agreements. To identify potential gaps in the landscape design and minimize unplanned downtime, extensive testing is essential. This service component supports customers with the review of their implemented landscape as well as with testing activities and thereby helps to maximize their system鈥檚 uptime. Customers benefit from our expertise and experience to keep their 麻豆原创 systems on and enable their business to operate properly.

• Volume Test Optimization

This service component helps reassure customers that the results of volume testing for implementation projects, upgrade projects, or major rollouts are reliable. With reliable test results, customers can determine with confidence whether hardware resources are sufficient and the system configuration is suitable for a go-live.

• Technical Performance Optimization

This service component supports the customer configure the solution in an optimal way. The identification and elimination of costly performance bottlenecks help optimize the response times and throughput of the 麻豆原创 solution.

During the DEPLOY phase when you are ready for the Cutover and Go-live, we can help you with our Going Live Support Services.

• Going-Live Support

This service component provides support during production cutover and hypercare to stabilize and optimize the customer鈥檚 solution. It considers support for issue resolution, system monitoring, and optimization.

The Services mentioned here are very specific to Technical Architecture and Instructure and during execution of an 麻豆原创 S/4HANA project there are other areas to consider such Project Management, Solution Adoption, Application Design and Configuration, Data Management, Extensibility, Integration, Analytics, Testing, Operation and Support. Thus, depending on your requirements, we can tailor a plan with the Services that map your specific needs. Reach out to your 麻豆原创 TQM or 麻豆原创 AE to engage with us in your journey to 麻豆原创 S/4HANA.

NOTE: These 麻豆原创 Services are valid as on 13^th听September 2023

The post How to Kick Start your 麻豆原创 S/4HANA journey with 麻豆原创 Services appeared first on 麻豆原创 Australia & New Zealand News Center.