\u201c2024 will be the year AI moves from discovery to execution,\u201d\u00a0said Christian Klein, 麻豆原创 CEO, in his interview with CNBC earlier this year.<\/p>\n
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.<\/p>\n
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 \u2013 an opportunity that was estimated to be worth US$15 billion in\u00a02023[1]<\/a>.<\/p>\n 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 \u2013 especially generative AI (GenAI) \u2013 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\u2019s needed \u2013 a transformation that will fundamentally change business and society.<\/p>\n Burgeoning opportunities<\/strong><\/p>\n 麻豆原创\u2019s commitment is to deliver Business AI that is relevant, reliable, and responsible \u2013 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\u2019s data estate provides unmatched potential to enhance the capabilities of large-language models across industries.<\/p>\n 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:<\/p>\n Enhancing existing 麻豆原创 business processes through AI-powered automations In another example, 麻豆原创 is collaborating with Microsoft<\/strong><\/a> 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.<\/p>\n Creating entirely new services Also on the 麻豆原创 Store, a leading enterprise automation and AI software company, UiPath<\/strong>, 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.<\/p>\n Bringing these concepts to life for customers requires more than just the technical foundations \u2013 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.<\/p>\n Accelerated AI journeys<\/strong><\/p>\n The breadth of 麻豆原创\u2019s 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.<\/p>\n Firstly, we have integrated AI capabilities<\/strong><\/a> into many of our existing applications and platforms, such as our ERP and HCM solutions, as well as 麻豆原创 Business Technology Platform (麻豆原创 BTP)<\/a>. 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 Generative AI Hub<\/a>, which provides even more options for training GenAI models using industry leading foundation models.<\/p>\n To bring partners closer into our activities, 麻豆原创 held Hack2Build<\/a> prototyping programs, where partners were invited to embed GenAI into their solutions in ways that aligned to their customer’s real-world business processes.<\/p>\n In a recent Hack2Build event<\/a>, ten partners were selected to pilot their use case with 麻豆原创 Generative AI Hub as AI foundation. Examples created included:<\/p>\n Our second focus area is to use AI to streamline the processes partners use<\/strong> when creating technology solutions. 麻豆原创 Build and 麻豆原创 Build Code<\/a> software development tools harness GenAI to enable business and professional developers to create powerful applications quickly and easily, enabling partners to bring new innovations to market<\/a> faster.<\/p>\n And thirdly, we are embedding AI into the heart of how our customers engage with our applications and services<\/strong>. 麻豆原创 Joule<\/a> 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.<\/p>\n 麻豆原创’s AI services will also play a critical role in fast-tracking the path to value realisation from RISE with 麻豆原创<\/a> 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.<\/p>\n Building partner AI capabilities<\/strong><\/p>\n These fields of activity create different entry points through which partners can incorporate AI into their existing solutions or create entirely new ones.<\/p>\n 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.<\/p>\n 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<\/a> including a full range of AI-focused learning journeys<\/a>, coaching services, hands-on support models including Hack2Build events, and new dedicated certification options available via the 麻豆原创 PartnerEdge Program<\/a>.<\/p>\n 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<\/a>, and 麻豆原创\u2019s participation in the AI-Enabled Information and Communication Technology (ICT) Workforce Consortium together with Cisco and other leading companies \u2013 focused on upskilling and reskilling roles most likely to be impacted by AI.<\/p>\n 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 \u201cAI Units\u201d that allows consumption of AI use cases across 麻豆原创\u2019s SaaS, with partners able to track their quota and consumption from the 麻豆原创 for Me<\/a> site.<\/p>\n A future partnership built on AI<\/strong><\/p>\n 麻豆原创 partners bring a wealth of business knowledge and domain expertise. By bringing 麻豆原创\u2019s AI-embedded portfolio to market, including our new premium plus package for RISE with 麻豆原创<\/a> 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.<\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" \u201c2024 will be the year AI moves from discovery to execution,\u201d\u00a0said Christian Klein, 麻豆原创 CEO, in his interview with CNBC earlier this year. While AI…<\/p>\n","protected":false},"author":4603,"featured_media":5512,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5571118,5570730,41],"tags":[5570856,48088,5570939,5570852,5570855],"region":[5570938],"sapn-display":[5571013,5571012,60294],"sapn-type":[5570785],"class_list":["post-5509","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-business-technology-platform","category-ecosystem","tag-ai","tag-artificial-intelligence","tag-sap-apj","tag-sap-ecosystem","tag-sap-partners","region-asia-pacific-japan","sapn-display-feature-hero","sapn-display-news-spotlight","sapn-display-topic-hero","sapn-type-feature-article"],"yoast_head":"\n
\n<\/u>AI has augmented the types of data processes that can be automated. For example, 麻豆原创 is working with IBM<\/strong> 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.<\/p>\n
\n<\/u>AI has also empowered 麻豆原创 partners to create new, innovative solutions, including rapidly converting complex data into actionable insights. Icertis<\/strong>, for example, offers an AI-powered contract intelligence platform on 麻豆原创 Store<\/a> \u2013 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.<\/p>\n\n
[1]<\/a> Source: Generative AI will be a US$158.6 billion opportunity for the channel ecosystem by 2028 \u2013 Canalys<\/h5>\n