Laboni Bhowmik is an SAP manufacturing consultant working at IBM since 2007. She has more than 15 years of experience with SAP solutions and technologies, including SAP Manufacturing Integration and Intelligence, SAP Manufacturing Execution, SAP Overall Equipment Effectiveness Management, SAPUI5, and SAP Cloud Platform. Laboni has led several large-scale SAP manufacturing implementation projects for multiple global clients. She is also extensively involved in progressing IBM’s SAP Digital Manufacturing and SAP Cloud Platform competency, including designing cutting-edge industry solutions, development, publications, and mentoring. In this book, Laboni is the author of the chapters Machine Learning and Intelligent Enterprise, SAP Data Intelligence Machine Learning Business Services, Integrating Machine Learning with the Internet of Things and Blockchain, Industry Use Cases for Machine Learning Applications, and Conclusion and Roadmap.
Avijit Dhar is a senior consultant with IBM India. He has more than 15 years of experience in leading the design and implementation of multiple large-scale projects, particularly in the SAP manufacturing domain. He is also responsible for growing IBM’s SAP Internet of Things and machine learning practice. Avijit is a subject matter expert in user experience, Internet of Things, machine learning, and other emerging technologies, and is involved in designing numerous cutting-edge industry assets and solutions. Avijit is a coauthor of SAP Cloud Platform: Cloud-Native Development from SAP PRESS.
In this book, Avijit is the author of the chapters Machine Learning and Intelligent Enterprise, Machine Learning with SAP Data Intelligence, Building Scenarios Using Jupyter Notebook, Automated Machine Learning Data Science Automation, Conversational Artificial Intelligence, and Conclusion and Roadmap.
Ranajay Mukherjee is a senior solution architect of SAP advanced analytics in IBM India. He has more than 21 years of experience in solutioning, leading, and delivering complex analytics projects across industries. Ranajay is a subject matter expert in data science, SAP HANA, SAP BW, and has extensively worked on the research, design, and development of machine learning and AI solutions using SAS, SPSS, R, and SAP HANA. He has held numerous leadership roles in IBM India, including SAP Enterprise HANA Practice Lead of IBM India and BW on HANA Conversion Factory Lead of IBM India. In 2019, Ranajay received the Outstanding Technical Achievement Award, recognizing his accomplishments within IBM's global business services, and has received the Eminence and Excellence Award from IBM India multiple times. Ranajay holds a Master of Statistics (MSTAT) and a Bachelor of Statistics (BSTAT) from Indian Statistical Institute, Kolkata. He is an Indian National Mathematics Olympiad awardee.
In this book, Ranajay is the author of the chapters Machine Learning Fundamentals, Implementation Lifecycle, Machine Learning on SAP HANA, SAP HANA Predictive Analysis Library and R Integration, Developing Applications with SAP HANA Predictive Analysis Library, and Conclusion and Roadmap.
How soon will your equipment need repairs? You'll learn how to use SAP Predictive Asset Insights to monitor the health of your equipment in real time and schedule maintenance when it is truly needed. Start by diving into key master
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Learn how machine learning facilitates predictive maintenance
Explore predictive models for distance, logistics regression, and more
Preview integration with your IoT devices and SAP S/4HANA
Develop cloud applications customized for your business needs! Master the basics of SAP Business Technology Platform (SAP BTP) and its development environments; then get step-by-step instructions for developing and operating your own applications. Build your backend with Java, Node.js, or
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E-book | Print edition | Bundle
Build and deploy cloud applications on SAP BTP using Java, Node.js, and ABAP
Work with SAP Business Application Studio, SAP Cloud Application Programming Model, cloud services, and more
Extend your SAP solutions with custom applications—no coding experience necessary! Learn how no-code application development works in SAP Build Apps (formerly known as SAP AppGyver), and then follow step-by-step instructions with different model use cases to build your own applications.
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Learn to build no-code enterprise applications with SAP Build Apps
Develop the user interface, add logic, and deliver applications to users
Integrate SAP Build Apps with SAP services and tools