In unserem technisch orientierten Vortrag zeigen wir, wie sich IoT-Daten und SAP-Systeme heute direkt und ohne Umwege integrieren lassen. Im Mittelpunkt steht IoTnova, der Managed Service auf Basis von ThingsBoard, der als leistungsfähige IoT-Plattform Gerätedaten sicher sammelt, verwaltet und verarbeitet – sowohl in der Cloud als auch On-Premises. Wir demonstrieren die direkte Integration von SAP in IoTnova und erläutern, wie dadurch der Einsatz zusätzlicher Middleware stark reduziert werden kann. Ergänzend werfen wir einen Blick auf flexible Werkzeuge wie Apache Hop für Datenintegration und -transformation sowie Redpanda für hochperformantes Datenstreaming. Der Vortrag bietet praxisnahe Einblicke, wie moderne IoT-Architekturen umgesetzt werden können – von der Erfassung über die Integration bis hin zur Nutzung der Daten in Unternehmenssystemen.

Boels Rental is one of Europe’s leading providers of equipment and tool hire. The Data & Analytics program sought to unify data on Snowflake, standardize analytics, and establish a cohesive framework for data-driven decision-making.

In this session, Roy Louvenberg and Ralph Knoops at Boels Rental, will share how the team leveraged Fivetran to rapidly and securely connect diverse data sources into a single central platform—empowering business operations, driving insights, and maximizing ROI.

Join this session to discover:

•Why fresh, reliable data is essential for analytics and business processes at Boels Rental •How Fivetran enables seamless integration from a wide range of sources, including SAP S/4HANA, Db2, and SQL Server

The SAP Fiori Handbook is your one-stop-shop to turbo charge your UX skills to ensure your enterprise applications are more user-friendly and accessible. This handbook is broadly divided into four sections and provides you with an in-depth exploration of the SAP Fiori system with chapters offering a theoretical context as well as detailed, step-by-step explanations of the key concepts providing you with a systematic approach to deepen your understanding of the SAP Fiori environment. The book will cover everything from introductory concepts and installation before moving through the key elements of the SAP Fiori system , from the Fiori App, Launchpad Content Manager and SAP Fiori UI. We will also cover important topics like app support and troubleshooting and diving into SAP Fiori Reports too. You Will: Explore the entire SAP Fiori eco-system [endif]Learn to configure and manage SAP Fiori Launchpad content [endif]See how to create custom apps and technical catalogs [endif]Explore how to implement Spaces and Pages Understand how to use App Support Functionality for troubleshooting Explore how to configure and manage Catalogs and Groups using SAP Fiori Launchpad Designer Understand how to convert existing Groups to Pages Get to grips with Fiori Apps recommendation report as well as SAP Fiori Upgrade Impact Analysis Report Who is this Book for: SAP Fiori administrators, consultants and Business Analysts as well as anyone responsible for configuring and maintaining the SAP Fiori launchpad experience for their company.

Une part essentielle des données stratégiques réside dans des systèmes critiques et de production (tels que IBM i, Oracle, SAP, SQL Server...) . Les extraire sans perturber la production est l’un des obstacles majeurs aux initiatives de modernisation.

Cette démonstration montrera comment la réplication de données permet de :

• Diffuser la donnée en temps réel sans impact sur les opérations,

• Consolider les données dans Snowflake, BigQuery ou les Data Lake pour l’analyse et l’IA,

• Réduire les coûts d’intégration et limiter les risques projets.

Une session de 30 minutes avec démonstration et temps de questions-réponses.

Follow the cloud journey of a fictional company Nimbus Airlines and the process it goes through to modernize its SAP systems. This book provides a detailed guide for those looking to transition their SAP systems to the cloud using Amazon Web Services (AWS). Through the lens of various characters, the book is structured in three parts — starting with an introduction to SAP and AWS fundamentals, followed by technical architecture insights, and concluding with migration strategies and case studies, the book covers technical aspects of modernizing SAP with AWS. You’ll review the partnership between SAP and AWS, highlighted by their long-standing collaboration and shared innovations. Then design an AWS architecture tailored for SAP workloads, including high availability, disaster recovery, and operations automation. The book concludes with a tour of the migration process, offering various strategies, tools, and frameworks reinforced with real-world customer case studies that showcase successful SAP migrations to AWS. Modernizing SAP with AWS equips business leaders and technical architects with the knowledge to leverage AWS for their SAP systems, ensuring a smooth transition and unlocking new opportunities for innovation. What You Will Learn Understand the fundamentals of AWS and its key components, including computing, storage, networking, and microservices, for SAP systems. Explore the technical partnership between SAP and AWS, learning how their collaboration drives innovation and delivers business value. Design an optimized AWS architecture for SAP workloads, focusing on high availability, disaster recovery, and operations automation. Discover innovative ways to enhance and extend SAP functionality using AWS tools for better system performance and automation. Who This Book Is For SAP professionals and consultants interested in learning how AWS can enhance SAP performance, security, and automation. Cloud engineers and developers involved in SAP migration projects, looking for best practices and real-world case studies for successful implementation. Enterprise architects seeking to design optimized, scalable, and secure SAP infrastructure on AWS. CIOs, CTOs, and IT managers aiming to modernize SAP systems and unlock innovation through cloud technology.

Maximize the value of your SAP investments by harnessing the power of Data and AI on Azure. In this session, you’ll learn proven strategies to leverage SAP landscapes, unify data across SAP and non-SAP systems, and unlock advanced analytics with Azure’s Agentic AI capabilities. We’ll showcase industry-ready accelerators that accelerate transformation, enable governed data access, and turn insights into action to fuel innovation, agility, and measurable business outcomes.

SAP Business Data Cloud is a fully managed solution that unifies and governs all SAP data while seamlessly integrating with third-party sources. With SAP Business Data Cloud, organisations can accelerate decision-making by empowering business users to make more impactful choices. It also provides a trusted foundation for AI, ensuring that data across applications and operations is reliable, responsible, and relevant—enabling organisations to harness the full potential of generative AI.

Maximize the value of your SAP investments by harnessing the power of Data and AI on Azure. In this session, you’ll learn proven strategies to leverage SAP landscapes, unify data across SAP and non-SAP systems, and unlock advanced analytics with Azure’s Agentic AI capabilities. We’ll showcase industry-ready accelerators that accelerate transformation, enable governed data access, and turn insights into action to fuel innovation, agility, and measurable business outcomes.

Data platform migrations and modernisations take 18 months. 80% fail or are late. Teams waste 35% of their time rediscovering tribal knowledge. 'Vibe coding' causes 2000% compute spikes. Generic AI tools generate code without understanding your business logic, creating production disasters.

Fortune 500 companies are escaping this $280B crisis. One retail giant cut their SAP-to-Fabric migration from 18 to 6 months. Another achieved 85% error reduction in procurement analytics.

This session reveals how global enterprises capture organisational knowledge permanently, automate the entire data product lifecycle, and deliver production-ready analytics 3x faster. Learn the AI-first approach that transforms months of manual work into weeks of automated delivery.

SAP Business Data Cloud is a fully managed solution that unifies and governs all SAP data while seamlessly integrating with third-party sources. With SAP Business Data Cloud, organisations can accelerate decision-making by empowering business users to make more impactful choices. It also provides a trusted foundation for AI, ensuring that data across applications and operations is reliable, responsible, and relevant—enabling organisations to harness the full potential of generative AI.

In this episode, Conor and Bryce continue part 2 of their chat about AI, how it's changing the way they work and more. Link to Episode 245 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)Socials ADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterShow Notes Date Recorded: 2025-07-01 Date Released: 2025-08-01 AI Poll ResultsAll of Conor's Vibe Coded ProjectsCursorClaude 4C++Now 2019: Hana Dusíková “Compile Time Regular Expressions with A Deterministic Finite Automaton”GPU ModeIntro Song Info Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: http://bit.ly/l-miss-you Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

The relationship between humans and AI in the workplace is rapidly evolving beyond simple automation. As companies deploy thousands of AI agents to handle everything from expense approvals to customer success management, a new paradigm is emerging—one where humans become orchestrators rather than operators. But how do you determine which processes should be handled by AI and which require human judgment? What governance structures need to be in place before deploying AI at scale? With the potential to automate up to 80% of business processes, organizations must carefully consider not just the technology, but the human element of AI-driven transformation. Steve Lucas is the Chairman and CEO of Boomi, marking his third tenure as CEO. With nearly 30 years of enterprise software leadership, he has held senior roles at leading cloud organizations including Marketo, iCIMS, Adobe, SAP, Salesforce, and BusinessObjects. He led Marketo through its multi-billion-dollar acquisition by Adobe and drove strategic growth at iCIMS, delivering significant investments and transformation. A proven leader in scaling software companies, Steve is also the author of the national bestseller Digital Impact and holds a business degree from the University of Colorado. In the episode, Richie and Steve explore the importance of choosing the right tech stack for your business, the challenges of managing complex systems, the role of AI in transforming business processes, and the need for effective AI governance. They also discuss the future of AI-driven enterprises and much more. Links Mentioned in the Show: BoomiSteve’s Book - Digital Impact: The Human Element of AI-Driven TransformationWhat is the OSI Model?Connect with SteveSkill Track: AI Business FundamentalsRelated Episode: New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked FutureRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Understand the fundamentals of SAP supply chain management and intelligence with the new Business Network for Logistics (BN4L) & Global Track and Trace (GTT) systems for SAP customers. It highlights how SAP Business Network enhances collaboration between suppliers, manufacturers, and logistics providers by leveraging shared business objects and real-time data. These integrations helps businesses achieve greater efficiency, transparency, and collaboration across their supply chain operations by leveraging intelligent insights and real-time data so they can better meet the demands of their customers. Getting Started with BN4L and GTT Integrations for SAP will not only provide you with the key concepts and definitions but also system configurations and real-world case studies giving you the skills and knowledge to start using SAP BN4L & GTT with confidence. You Will: Gain insights into the BN4 & GTT Intelligence Network and how it is used in the SAP applications. Learn the network for freight collaboration & shipment status. Learn the basics of systems administration, master data for the network, and integration scenarios with SAP S/4HANA. Understand a high level of end-to-end business processes. How it all works together and review analytics to get a better understanding of shared business objects. Who is this Book for: SAP Supply Chain Consultants, SAP Supply Chain Architect, SAP Technical Consultant and SAP Customers

The SAP S/4HANA Handbook for EPC Projects equips you with the knowledge and insights needed to successfully manage and execute complex Engineering, Procurement, and Construction (EPC) projects using the power of SAP S/4HANA. Building upon your existing knowledge of SAP solutions, this handbook provides advanced insights into EPC project management and addresses the operational challenges unique to the Engineering, Construction and Operations (EC&O) industry by connecting business processes with relevant SAP solutions. It is an essential guide enabling you to gain a deeper understanding of optimizing your project management capabilities using SAP S/4HANA. Whether you are an SAP Solution Architect in Finance, Human Resources, or Supply Chain Management, or a project manager in the EC&O industry, this book will help you understand how projects can be managed with SAP. We begin by examining the world of EPC, EPC/M (Engineering, Procurement, Construction, and Management), and ETO (Engineer-To-Order) projects.Looking at detailed planning, controlling, and execution solutions of EPC projects with S/4HANA Project System, CPM (Commercial Project Management), PPM (Project & Portfolio Management), S/4HANA Add-ons, SAP Cloud Solutions, and to integrate these with other engineering and project management software such as Tekla and Primavera through SAP BTP (Business Technology Platform). You will follow a construction company secure an EPC contract of a refinery upgrade project and demonstrates how SAP is used at every step of the way, from bidding to project closure. Through real-world use-cases, supported by tables and visual aids, you will find the practical solutions offered by SAP S/4HANA. The SAP S/4HANA Handbook for EPC Projects is the ultimate resource bridging theory with practical applications, offering a framework to navigate the complexities of modern project management in the EC&O industry. You Will Learn To: [if !supportLists] Understand project management processes with business use cases and their application in SAP Apply detailed planning, scheduling, resource and management strategies, as well as for risk and claim managmement in large-scale projects. [if !supportLists] Master project procurement, ETO manufacturing for projects, product and service quality management and the handling of project materials, tools and equipment. [if !supportLists] Manage the design and creation of documentation and oversee change management in EPC projects. This Book is For: Project and Portfolio Managers, SAP Solution Architects and other SAP partners looking for hands-on solution s for the EC&O industry. Engineering and Construction Contractors, Engineering Consultants, and Project Management Services companies seeking business transformation with SAP tools and practices

Enterprises want the flexibility to operate across multiple clouds, whether to optimize costs, improve resiliency, to avoid vendor lock-in, or for data sovereignty. But for developers, that flexibility usually comes at the cost of extra complexity and redundant code. The goal here is simple: write once, run anywhere, with minimum boilerplate. In Apache Airflow, we’ve already begun tackling this problem with abstractions like Common-SQL, which lets you write database queries once and run them on 20+ databases, from Snowflake to Postgres to SQLite to SAP HANA. Similarly, Common-IO standardizes cloud blob storage interactions across all public clouds. With Airflow 3.0, we are pushing this further by introducing a Common Message Bus provider, which is an abstraction, initially supporting Amazon SQS and expanding to Google PubSub and Apache Kafka soon after. We expect additional implementations such as Amazon Kinesis and Managed Kafka over time. This talk will dive into why these abstractions matter, how they reduce friction for developers while giving enterprises true multi-cloud optionality, and what’s next for Airflow’s evolving provider ecosystem.

At SAP Business AI, we’ve transformed Retrieval-Augmented Generation (RAG) pipelines into enterprise-grade powerhouses using Apache Airflow. Our Generative AI Foundations Team developed a cutting-edge system that effectively grounds Large Language Models (LLMs) with rich SAP enterprise data. Powering Joule for Consultants, our innovative AI copilot, this pipeline manages the seamless ingestion, sophisticated metadata enrichment, and efficient lifecycle management of over a million structured and unstructured documents. By leveraging Airflow’s Dynamic DAGs, TaskFlow API, XCom, and Kubernetes Event-Driven Autoscaling (KEDA), we achieved unprecedented scalability and flexibility. Join our session to discover actionable insights, innovative scaling strategies, and a forward-looking vision for Pipeline-as-a-Service, empowering seamless integration of customer-generated content into scalable AI workflows

Airflow powers thousands of data and ML pipelines—but in the enterprise, these pipelines often need to interact with business-critical systems like ERPs, CRMs, and core banking platforms. In this demo-driven session we will connect Airflow with Control-M from BMC and showcase how Airflow can participate in end-to-end workflows that span not just data platforms but also transactional business applications. Session highlights Trigger Airflow DAGs based on business events (e.g., invoice approvals, trade settlements) Feed Airflow pipeline outputs into ERP systems (e.g., SAP) or CRMs (e.g., Salesforce) Orchestrate multi-platform workflows from cloud to mainframe with SLA enforcement, dependency management, and centralized control. Provide unified monitoring and auditing across data and application layers

Airflow powers thousands of data and ML pipelines—but in the enterprise, these pipelines often need to interact with business-critical systems like ERPs, CRMs, and core banking platforms. In this demo-driven session we will connect Airflow with Control-M from BMC and showcase how Airflow can participate in end-to-end workflows that span not just data platforms but also transactional business applications. Session highlights Trigger Airflow DAGs based on business events (e.g., invoice approvals, trade settlements) Feed Airflow pipeline outputs into ERP systems (e.g., SAP) or CRMs (e.g., Salesforce) Orchestrate multi-platform workflows from cloud to mainframe with SLA enforcement, dependency management, and centralized control. Provide unified monitoring and auditing across data and application layers

Join us for an exclusive roundtable discussion featuring industry leaders and experts as we delve into the transformative power of the SAP and Databricks partnership. This session is designed to provide actionable insights and foster a collaborative dialogue on the ways this collaboration is reshaping the landscape of data management, AI, and business strategy.

This will be a dynamic, interactive roundtable where participants can share their viewpoints, explore real-world use cases, and address challenges and opportunities. The session is designed to encourage open discussion and provide valuable insights for navigating the evolving data and AI landscape.