Join this free online course to learn how to transform a business into an intelligent, sustainable enterprise using sustainability solutions on SAP Business Technology Platform and discover how artificial intelligence plays a critical role in this journey. To get a better understanding of the processes, we’ll walk you through an imaginary end-to-end scenario.
There’s no doubt that sustainability has been a hot topic in recent years. For more and more CEOs, profitability is no longer the sole goal of a business, but also the sustainability goals that take planet and people into consideration. At SAP, we act now on sustainability with the goals of zero emissions, zero waste, and zero inequality by 2030. Beyond this, SAP has a vision to enable every customer to become an intelligent, sustainable enterprise with its technologies and solutions.
SAP Business Technology Platform (SAP BTP) provides the foundation for application development, integration, data and analytics, and AI. On top of this platform, SAP has created a new sustainability portfolio to help the enterprise drive sustainable practices inside the organization and across its entire value chain, such as SAP Product Footprint Management, SAP Responsible Design and Production, SAP Responsible Design, and SAP Sustainability Control Tower. We’d also like SAP partners to embed sustainability into their industry cloud solutions for end-to-end industry-specific business processes with a sustainability dimension. Profitability and sustainability are the two sides of the coin for an intelligent, sustainable enterprise. To achieve the ultimate goals of making profitability sustainable, and sustainability profitable, we need to put the sustainability dimension into strategy planning and operation end-to-end. And artificial intelligence plays a critical role in this journey too, helping the business to be more efficient and intelligent.
In this course, we’ll go through an imaginary end-to-end scenario where you as an SAP partner help a traditional Milan-based light guide panel (LGP) manufacturer, Bagnoli & Co., transform into a sustainable intelligent factory. You’ll learn how to automate product defect detection with computer vision in the quality inspection process, implement sound-based predictive maintenance for equipment with deep learning, and design an analytics and planning story for plant 360 insights into production, maintenance cost, and sustainability (energy consumption and CO2 emission). Throughout the course, we’ll use several SAP BTP components, such as SAP AI Core, SAP AI Launchpad, and SAP Analytics Cloud.
Here is what some participants are saying about the course:
"This course contains important information regarding AI in SAP BTP." Read the original post
"I loved the structure, depth, and scope of the course. For most of us, this course is an introduction course on SAP AI Core and SAP AI Launchpad deployment, the building blocks, and use cases. This is the start of the journey." Read the original post
"Very interesting AI and Sustainability, using SAP technologies. Conduct more courses in this AI format for maintenance." Read the original post
"I like so much this course, very professional, hope to soon to apply in a company, congrats to SAP for this very innovative topic." Read the original post
"Thank you very much for the training space. Congratulations on understanding the connection between digital development and effective emissions management." Read the original post
"Very interesting overview of AI and Sustainability, using SAP technologies." Read the original post
Week 1: AI and Sustainability
Week 2: Enterprise AI in Action – Defect Detection
Week 3: Enterprise AI in Action – Sound-Based Predictive Maintenance
Week 4: Embedding AI into a Custom Application on SAP BTP
Week 5: Collaborative Enterprise Planning
Week 6: Final Exam
The sample code and exercises documents of this openSAP course are published in this GitHub repository. If your primary interest in taking the course is getting a technical overview about building AI and sustainability solutions on SAP BTP, you do not need access to a development system. However, we realize that many of you will be interested in hands-on exercises based on the instructions in the course. We have therefore summarized the major development system requirements and installation procedures in this document.
All described systems are free-of-charge.
Stuart Clarke is a chief business processes consultant focusing on AI and machine learning.
He has specialized in operational research, data science, predictive analytics, and advanced analytics for over 30 years, working extensively in the telecommunications, retail, utilities, and financial service sectors.
Dayanand Karalkar is a principal consultant focusing on analytics and planning.
He has experience in implementations and upgrades of business intelligence and planning solutions utilizing SAP BW, SAP Business Planning and Consolidation, SAP Analytics Cloud, and SAP S/4HANA embedded analytics across various industry sectors.
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Gianluigi Bagnoli heads the global team of SAP BTP solution architects in the Partner Ecosystem Success team at SAP. Their focus is to enable and coach partners to build intelligent and sustainable solutions on top of SAP Business Technology Platform.
Gianluigi has more than 30 years of experience in the software industry. He has built and delivered a number of software systems in different industry areas. He started writing ASM286 synchronization routines and is now interested in cloud-native architectures, side-by-side, keep-the-core-clean, Intelligent Enterprise, machine learning, and sustainability.
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Yatsea Li is a solution architect for SAP Business Technology Platform, helping SAP partners to build intelligent and sustainable solutions with SAP BTP. His focus is on side-by-side extension with SAP Cloud Application Programing Model and custom AI-embedded applications with SAP AI, as well as data-to-value with SAP HANA Cloud, SAP Data Intelligence Cloud, SAP Data Warehouse Cloud, and SAP Analytics Cloud.
Yatsea enjoys exploring new technologies and innovations, and bridging the gap between technology and business. He has over 17 years’ experience in enabling SAP partners to develop solution IPs with SAP technologies through trainings, sample code, and technical coaching.
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Alice Magnani is a BTP solution architect, helping SAP partners to develop custom solutions on SAP Business Technology Platform with a special focus on artificial intelligence.
Alice has been nurturing an interest in data analysis, machine learning, and deep learning for more than 10 years now, starting with her PhD in particle physics, switching to various advisory and enablement roles in the IT company sector, and finally joining SAP.
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Cesare Calabria is a BTP solution architect, helping SAP partners to develop custom solutions on SAP Business Technology Platform with a special focus on artificial intelligence.
He has always worked with data and the tools to collect, transform, and analyze it. Cesare gained experience in statistical data analysis and programming while doing a PhD in particle physics. This also introduced him to distributed computing and artificial intelligence in high-energy physics experiments. Later, he moved to IT consultancy, where he worked as a data engineer and solution architect for one of SAP’s main partners, building business intelligence solutions for key players in the healthcare and telco sectors leveraging data warehousing and distributed computing.
Cesare now uses this expertise at SAP to enable partners to develop IPs with SAP technologies through trainings and technical advisory.
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Jacob Tan is a solution architect for SAP Business Technology Platform. Together with the Partner Solution Adoption team, he helps to guide and advise partners on architectural queries. He focuses on topics revolving around custom app development with SAP Cloud Application Programming Model, SAP Fiori/custom SAPUI5 and other services in SAP Business Technology Platform.
Jacob has always been passionate about custom application development and learning new technologies, which motivated him to come together with his team to make this openSAP course.
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Quintus Smith is a solution architect for SAP Business Technology Platform. He works together with the Partner Solution Adoption team to provide workshops and expert guidance to partners. He is involved in a variety of topics, but his special focus is on SAP Analytics Cloud, SAP Build, SAP Workflow, and Business Application Studio.
Quintus has worked with SAP technology for the past 12 years, and the last 5 years with SAP directly. He is experienced in delivering partner enablement content and working with partners. He enjoys working on side-by-side extension scenarios and application building, as well as with data, to enrich the data visually.
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Mostafa Sharaf is a global cloud solution architect for SAP Business Technology Platform and part of the Partner Solution Adoption team.
He is passionate about helping SAP customers on their digital transformation journey to becoming the Intelligent Enterprise, mainly focusing on technologies around loosely coupled app development, business process integration, IoT, analytics, and digital process automation.
Mostafa has over 12 years of experience in roles across different business units in SAP from solution architecture and presales to business development supporting sales operations as well guiding SAP partners. His main interest is in helping partners to leverage the advances of SAP BTP through enablement bootcamps, advisory coaching sessions, and Hack2Build events. His aim is to increase awareness of SAP BTP and support partners in developing and productizing their IPs, powered by SAP BTP.
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