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<\/a><\/div>\n\n\n\nProgress in the field of AI wasn\u2019t exactly on the curriculum during that workshop at Dartmouth. However, over the past few years, the futuristic visions of scientists and Hollywood directors alike have become more realistic as the power of computers continues to increase, more digital, connected products are flooding the market, and our society and economy are producing enormous amounts of digital data.<\/p>\n\n\n\n
What AI can and can\u2019t do<\/h3>\n\n\n\n
What we are missing is a valid common definition of AI or, more generally, what counts as intelligence. What we can say without the shadow of a doubt is this: To some degree, machines are capable of autonomously making decisions and acting on them. They are capable of recognizing and analyzing patterns in data, language or images. In most of these cases, machines do significantly better than humans, as their analysis is usually faster, more comprehensive, and more accurate. Technology-based methods\u2014like machine learning\u2014are a requirement for these processes to work seamlessly.<\/p>\n\n\n\n
All of this falls under the category of \u2018weak AI\u2019, meaning that a software can autonomously solve specific problems. While the software takes care of the task that it was programmed for, it will never truly understand it nor form what we might call a conscience\u2014which are the required criteria for \u2018strong AI\u2019. Some scientists expect \u2018strong AI\u2019 to develop superintelligence with (simulated) conscience that will surpass any human and be far beyond our control in the future. As of now, this is more on the science-fiction side of AI, though.<\/p>\n\n\n\n Since \u2018strong AI\u2019 is still a distant vision of the future, today\u2019s focus is more on \u2018weak AI\u2019, meaning manageable, ethical software and solutions for practical use cases. According to consulting firm PwC, (weak) AI alone will generate value of \u20ac430 billion in Germany until 2030. In another study, PwC studied the most common use cases of artificial intelligence. A majority of respondents indicated that they used AI for automating existing business process and analyzing data. AI is the most useful when dealing with one individual, complex task involving an enormous amount of data. <\/p>\n\n\n\n Obviously, AI has enormous potential for almost every company. SAP customers are therefore faced with the question of which technologies SAP offers them to upgrade and enhance their existing system landscapes. There are some applications in the ERP company\u2019s portfolio that sound like AI.<\/p>\n\n\n\n Innovation platform Leonardo is the most prominent example. SAP introduced it in 2017 with all the fanfare of a groundbreaking revelation, but it has gotten eerily quiet around the solution portfolio. Leonardo comprises different applications and microservices to a variety of hype topics, like machine learning, IoT and blockchain. It was an ambitious strategy, but SAP seems to have given up on it. Instead of being seen as all-compassing technology provider, SAP seems to have gone back to its roots as practical solution provider. SAP Leonardo has been rebranded as Intelligent Technologies, but many of the technological and functional services it once offered have been or will be discontinued in the foreseeable future.<\/p>\n\n\n\n Instead, SAP is now focusing on business processes and company-specific requirements by integrating innovations and individual solutions. SAP offers customers different ways to join the world of artificial intelligence, each of which is tailored to different target groups while still complementing the others.<\/p>\n\n\n\n In its new ERP system S\/4 Hana, SAP has embedded some AI functionalities which are supposed to make individual S\/4 applications intelligent. The goal is the automation of routine tasks to relieve employees of monotonous work, shifting their focus to more complex scenarios. There is more than one approach to reach this goal.<\/p>\n\n\n\n Pre-defined scenarios: <\/strong>SAP offers pre-defined scenarios which have to be trained with the client company\u2019s historical data before they can automate routine tasks. This is most beneficial for e.g. assigning incoming payments to open invoices or creating purchase orders.<\/p>\n\n\n\n Robotic Process Automation:<\/strong> Robotic Process Automation offers users the possibility to create custom AI-based, automated processes to have bots take care of recurring tasks by using familiar patterns.<\/p>\n\n\n\n Situation Handling: <\/strong>By leveraging pre-defined scenarios and Robotic Process Automation, situation handling will be a focal point: As recurring tasks have been automated, users will only need to react to unusual occurrences in the system.<\/p>\n\n\n\n SAP Conversational AI:<\/strong> As part of Leonardo, SAP Conversational AI was meant to realize chatbots. As part of S\/4, however, it enables interaction with the system via natural language.<\/p>\n\n\n\n As the strategic analytics solution of the future, the SAP Analytics Cloud (SAC) includes AI-based predictive functionalities, which SAP calls Smart Predict, in addition to conventional BI functionalities focused on the past and present. The tools are designed for Citizien Data Scientists - i.e. for ambitious business users. In view of the continuing shortage of data scientists, more and more attention is currently being paid to them. The Smart Predict applications contain everything needed to equip business users for typical predictive processes: for example, to process classification, regression and time series-based questions and thus forecast sales, for example. The AI models required for this can be trained using the company's historical data.<\/p>\n\n\n\n Running on SAP Cloud Platform (SCP), SAP Data Intelligence is by far the most elaborate AI solution in SAP\u2019s portfolio. While it is the most likely \u2018successor\u2019 of Leonardo, the focus has shifted to business. SAP Data Intelligence combines a more conservative business world with open source, making it more open to different solutions and applications, like Jupyter Notebooks (Project Jupyter), Python and Python-based frameworks for machine learning like pandas, scikit-learn or TensorFlow.<\/p>\n\n\n\n With SAP Data Intelligence, the created data models can be transferred to a company\u2019s SAP landscape for further development, testing, and performance monitoring. And, most importantly, AI scenarios can be audited, complying with regulatory guidelines. SAP has recognized that AI is an important\u2014if not the most important\u2014technology topic and is enthusiastically adding to its existing portfolio without losing sight of business requirements. Actively researching AI is not SAP\u2019s forte, however. Companies like Facebook, Google or Microsoft as well as open source initiatives are and will continue to be the driving force in AI innovation.<\/p>\n\n\n\n If companies want to implement AI scenarios, they first should evaluate (after, of course, already having evaluated the profitability and feasibility of the desired use case) what they need and what SAP offers. Where SAP solutions leave something to be desired, SAP partners or third-party solutions can usually help fill the gaps.<\/p>\n\n\n\n AI has enormous potential for almost every company. SAP customers are therefore faced with the question of which technologies SAP offers them to upgrade and enhance their existing system landscapes.<\/p>","protected":false},"author":1244,"featured_media":66921,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[5,37729],"tags":[625,145,624,13891,627,5438,236],"coauthors":[22362,37792],"class_list":["post-66918","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it-management","category-mag-2006","tag-ai","tag-automatisierung","tag-ki-joule","tag-leonardo","tag-ml","tag-pwc","tag-sap","pmpro-has-access"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"thumbnail":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-150x150.jpg",150,150,true],"medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",400,180,false],"medium_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-768x346.jpg",768,346,true],"large":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"image-100":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-100x45.jpg",100,45,true],"image-480":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-480x216.jpg",480,216,true],"image-640":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-640x288.jpg",640,288,true],"image-720":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-720x324.jpg",720,324,true],"image-960":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-960x432.jpg",960,432,true],"image-1168":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"image-1440":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"image-1920":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"1536x1536":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"2048x2048":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"trp-custom-language-flag":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",18,8,false],"bricks_large_16x9":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"bricks_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"bricks_large_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",1000,450,false],"bricks_medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",600,270,false],"bricks_medium_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk.jpg",600,270,false],"profile_24":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-24x24.jpg",24,24,true],"profile_48":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-48x48.jpg",48,48,true],"profile_96":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-96x96.jpg",96,96,true],"profile_150":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-150x150.jpg",150,150,true],"profile_300":["https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/shutterstock_141916174_cmyk-300x300.jpg",300,300,true]},"post_excerpt_stackable_v2":" Lange Zeit war k\u00fcnstliche Intelligenz nicht viel mehr als attraktiver Stoff f\u00fcr Science-Fiction. 1982 machte Harrison Ford in \u201eBlade Runner\u201c Jagd auf Replikanten. 2001 lie\u00df Steven Spielberg in \u201eA. I.\u201c eine emotionale Mensch-Maschine-Beziehung aufleben.<\/p>\n","category_list_v2":"IT-Management<\/a>, MAG 20-06<\/a>","author_info_v2":{"name":"Maximilian Johannes, Allgeier","url":"https:\/\/e3mag.com\/en\/author\/maximilian-johannes\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/66918","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/users\/1244"}],"replies":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/comments?post=66918"}],"version-history":[{"count":3,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/66918\/revisions"}],"predecessor-version":[{"id":156718,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/posts\/66918\/revisions\/156718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media\/66921"}],"wp:attachment":[{"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/media?parent=66918"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/categories?post=66918"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/tags?post=66918"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/e3mag.com\/en\/wp-json\/wp\/v2\/coauthors?post=66918"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"Ki](\"https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/Maximilian-Johannes.jpg\" "\\"Ki")
<\/figure>\n\n\n\nAI potential of 430 billion EUR<\/h3>\n\n\n\n
Leonardo: Approach to AI<\/h3>\n\n\n\n
![\"Ki](\"https:\/\/e3mag.com\/wp-content\/uploads\/2020\/06\/Steinbrecher.jpg\" "\\"Ki")
<\/figure>\n\n\n\nAutomation through ML and AI<\/h3>\n\n\n\n
SAP Analytics Cloud<\/h3>\n\n\n\n
SAP Data Intelligence<\/h3>\n\n\n\n
Focused AI strategy<\/h3>\n\n\n\n
Conclusion and future<\/h3>\n\n\n\n
![\"https:\/\/e3mag.com\/partners\/allgeier-enterprise-services-ag\/\"](\"https:\/\/e3mag.com\/wp-content\/uploads\/2017\/05\/Allgeier-CI-Banner.jpg\" "\\"Ki")
<\/a><\/figure>","protected":false},"excerpt":{"rendered":"