Applying Hyperautomation to SAP Processes for Better Business Results

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This document outlines a data processing workflow that involves collecting raw data, cleaning and transforming it, and then analyzing and visualizing insights. Key steps include gathering information from various sources, standardizing formats, addressing issues like missing values, and ultimately generating reports and dashboards to understand trends and inform decisions.

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Applying Hyperautomation to SAP Processes for Better Business Results

Applying Hyperautomation to SAP Processes for Better Business Results

Applying Hyperautomation to SAP Processes for Better Business Results

Applying Hyperautomation to SAP Processes for Better Business Results

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Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy. Key takeaways: · How to build a data-driven culture within your organization · Tips to engage with key stakeholders in your business and examples from other businesses around the world · How to establish and maintain a business-first approach to data governance · A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business

Data Innovation Summit: Data Integrity Trends

Data Innovation Summit: Data Integrity Trends

Data Innovation Summit: Data Integrity Trends

Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context. Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants. Key Topics: AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases. Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security. Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success. Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data. Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together. Less Bias. More Accurate. Relevant Outcomes.

AI You Can Trust - Ensuring Success with Data Integrity Webinar

AI You Can Trust - Ensuring Success with Data Integrity Webinar

AI You Can Trust - Ensuring Success with Data Integrity Webinar

La fonction finance est au cœur du succès de l’entreprise, et doit aussi évoluer pour faire face aux enjeux d’aujourd’hui : aller plus vite, traiter plus d’informations et assurer une qualité des données sans faille. Nous vous proposons de découvrir ensemble comment répondre à ces défis, notamment les points suivants : Gérer les référentiels comptables et financiers, comptes comptables, clients, fournisseurs, centres de couts, centres de profits…Accélérer les clôtures et permettre de passer les écritures comptables nécessaires, de lancer les rapports adéquats et d’extraire les informations en temps réelOrganiser les taches en les affectant de manière ordonnancée à leurs responsables ou en les lançant automatiquement et les suivre de manière granulaire Notre webinaire sera l’occasion d’évoquer et d’illustrer cette palette de capacités disponibles pour des utilisateurs métier sans code ou avec peu de code et nous vous espérons nombreux.

Optimisez la fonction financière en automatisant vos processus SAP

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In dieser Präsentation diskutieren wir, welche Tools aus unserer Sicht dabei helfen, die Transformation zu SAP S/4HANA optimal zu gestalten. Aber wir blicken auch nach vorne! In unserem Beitrag fokussieren wir uns nicht nur auf kurzfristige Lösungen, sondern es geht auch um das Thema „Nachhaltigkeit“. Um Investitionen für die Zukunft. Dazu gehören Entwicklungen, die die SAP Welt nachhaltig verändern werden. Wir betrachten zukünftige Technologien, wie KI oder Machine Learning, die dazu beitragen, datenintensive SAP Prozesse zu optimieren, die Datenqualität zu verbessern, manuelle Prozesse zu reduzieren und Mitarbeiter zu entlasten. Werfen Sie mit uns einen Blick in die Zukunft und gestalten Sie die digitale Transformation in Ihrem Unternehmen mit.

SAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen

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Möchten Sie die Effizienz und Produktivität Ihrer SAP-ERP-zentrierten Geschäftsprozesse verbessern? Damit sind Sie nicht allein, vor allem nicht in der heutigen, schnelllebigen Geschäftswelt. Eine Möglichkeit für Unternehmen, diese Effizienz zu erreichen, ist die Automatisierung komplexer, datenintensiver Prozesse mithilfe von APIs. An diesen Prozessen sind häufig SAP- und andere Systeme beteiligt. APIs ermöglichen den nahtlosen Datenaustausch zwischen diesen Systemen und tragen so zur Automatisierung verschiedener Geschäftsprozesse bei, wie z. B. Processing, Inventory Management oder Customer Account Management. In unserem Webinar erfahren Sie mehr über die Vorteile der Verwendung von APIs zur Automatisierung von SAP-zentrierten Geschäftsprozessen und was dies für Ihr Unternehmen bedeuten könnte. Wir zeigen Ihnen auch, wie APIs Datenerstellungs- und -verwaltungsprozesse automatisieren können, für die Daten aus verschiedenen Systemen erforderlich sind.

Automatisierte SAP Prozesse mit Hilfe von APIs

Automatisierte SAP Prozesse mit Hilfe von APIs

Automatisierte SAP Prozesse mit Hilfe von APIs

Core transactional systems like IBM i represent an essential element of the global economy and run mission-critical business processes today. However, to remain competitive in today’s constantly evolving IT landscape, organizations must integrate cloud-based technologies, such as those from the AWS Cloud, into their architecture to unlock business value, especially in advanced analytics and AI applications. Organizations that successfully integrate and operate new cloud-based technologies alongside their core legacy systems pave the way to deliver solutions that drive operations efficiently while creating space for innovation and forward-thinking projects. This combination will serve as a competitive advantage as business and customer needs continue to grow. AWS Mainframe Modernization Data Replication with Precisely unleashes mainframe data for innovation with the AWS Cloud by enabling near real-time replication of heterogeneous data from mainframe data sources like Db2, IMS, and VSAM to a wide range of AWS Cloud database destinations. Join the session to see how Precisely and AWS together provide modernization capabilities to users looking to drive innovation from IBM Series I data through near real-time replication to the AWS Cloud, providing the foundation of new business channels. During this session, we will discuss: - How successful organizations manage both cloud and legacy systems - The combined AWS and Precisely offering - Real-world use cases of IBM i users leveraging AWS and Precisely

Moving IBM i Applications to the Cloud with AWS and Precisely

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Defending against the increasing sophistication and complexity of today’s security threats requires a comprehensive, multi-layered approach. The key is to maximize the strength of each layer of your defenses, and then ask yourself “If this layer is breached, what do I have in place to prevent further damage?” Even if you have implemented the proper layers of protection, effective security still requires a thoughtful and comprehensive approach to monitoring and reporting. Monitoring plays a critical role in any effective IT security strategy. It's like having a security guard constantly patrolling your digital infrastructure, vigilantly watching for suspicious activity and potential threats. Security monitoring allows you to detect threats as soon as possible, giving you a better chance of responding quickly and effectively. Join us for this webinar we will cover: • The best practices for monitoring your IBM i environment. • The benefits of combining your IBM i monitoring with other IT systems • A demonstration of a new Assure Security Monitoring and Reporting interface

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Explore the full potential of your master data to create enormous value across your processesJoin this webinar to have a better understanding of the role that material master data plays in your operations and how automation can help you achieve your data integrity goals for master data processes. As data and processes become more interdependent, it is imperative to find ways to improve the overall integrity of that data, especially when it crosses multiple aspects of your business. In a recent State of Automation Report conducted by SAP and Precisely, they found that the top two challenges organizations are facing with master data are complexity and volume, and furthermore 58% cited master data maintenance and governance concerns as barriers to re-designing processes. In this webinar, we will focus on the role that material master data plays as the central data component in business processes ranging from finance and accounting to production planning, logistics, and sales orders. Maintaining accurate, consistent, and contextualized materials data is imperative for success, and automation is one of the best ways to achieve the necessary data integrity. At the end of this session, you will: • Have a better understanding of the role that material master data plays in your operations • Learn how automation can help you achieve your data integrity goals for master data processes • Why automation is the next step along your organization’s digital transformation journey

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IT Operations Management (ITOM) is more important than ever in today’s fast-changing world. It helps IT to ensure availability, maintenance, and deployment of hardware, software, services, and processes. Companies who rely on ServiceNow have invested in solving this challenge and trying to get a comprehensive view of their entire infrastructure. However, for many of them, there is one crucial area of missing data. ServiceNow does not natively discover critical infrastructure resources from IBM Power Systems and IBM Z mainframes. This can leave them vulnerable to blind spots, their ITOM initiatives can go awry, and periods of downtime can be extended. Join us for this webinar we will cover: · The five key ITOM enablers to gain complete visibility into all areas of the infrastructure. · How Ironstream for ServiceNow can fill the gaps in ITOM coverage · How Discovery, Service Mapping, and Event Management work together to deliver ITOM success

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In any business, the significance of address data is vital, serving as an indispensable element for enterprises engaged in customer interactions, delivery services, logistics, real estate, and investment activities. Despite its foundational role in various industries, address data is frequently underestimated as a crucial component of innovation, often overshadowed by more shiny technological advancements. Join us in our upcoming webinar, where we explore the pivotal role of address data in shaping daily business activities. Join our session to: Discover how leading companies leverage high-quality addressing data to drive innovation, enhance operational efficiency, and gain a competitive edge. Reimagine and elevate user experiences by understanding the impact of accurate addresses on customer satisfaction, service delivery, and brand perception. Uncover invaluable tips and tricks for navigating the diverse landscape of addressing solutions in the market. Learn how to choose the best-fit solution that aligns with your business needs, ensuring data accuracy and reliability.

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Mainframe systems remain the backbone of many mission-critical business operations, and sort operations play an integral role in ensuring the smooth flow of data across these systems. However, managing and optimizing sort operations can be a complex task, often hindered by a lack of visibility and real-time insights. In this webinar, we'll explore how to gain better visibility into mainframe sort operations, enabling you to: identify and resolve performance bottlenecks, optimize resource allocations and improve overall system performance. Join us for this webcast to hear about: • The importance of visibility into mainframe sort operations • Common challenges faced when managing mainframe sort operations • Strategies for gaining deeper insights into sort operations

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In today's increasingly digital world, IT systems and services have become essential for business operations. For customers with IBM Z or IBM I systems that handle business-critical workloads, downtime, even for a short period, can have a significant impact on productivity, revenue, and customer satisfaction. Therefore, it is crucial for these businesses to implement effective IT operations management strategies to minimize downtime and ensure the smooth functioning of their IT infrastructure. Investing in IT operations management (ITOM) tools that provide centralized visibility and control over IT infrastructure can help you monitor, manage, and optimize IT resources. This can significantly reduce the risk of downtime, improve IT service availability, and enhance overall IT operations efficiency. Join us for this webcast to hear about: • The importance of IT Operations Management • The role of ITOM tools • Common causes of downtime • Strategies for preventing downtime

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In today's dynamic IT landscape, businesses running IBM Power Systems are continuously seeking ways to optimize their infrastructure and leverage cutting-edge technologies. Migrating IBM i and AIX workloads to the cloud has emerged as a compelling option for many organizations, offering a host of potential benefits. However, it is crucial to carefully weigh the pros and cons of cloud migration before making a decision. In this webinar, we'll delve into the intricate world of IBM i cloud migration, equipping you with the knowledge to make an informed choice. Join us for this webcast to hear about: • The compelling advantages of migrating to the cloud • The potential challenges of migration • Recommended best practices for undertaking a migration

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Americas Marketing Campaigns Tracker1234

Trusted analytics and predictive data models require accurate, consistent, and contextual data. Even with the vast amount of internal business data available, financial services institutions are looking to trusted 3rd party data to fuel analytical models with new and relevant attributes to gain meaningful insights. With over 9,000 data attributes describing the people, places, and a myriad of details for any given location, Precisely is uniquely positioned to help Financial Services companies create new and innovative insights from data. Stay ahead of the competition and gain a competitive advantage with trusted data for confident business decisions. During this webinar, you will see how our clients are leveraging innovative strategies to unlock the power of data. Use cases will include: Commercial Lending: How do I efficiently understand collateral?Mortgage: Improved understanding of comps in a volatile market?Credit Card: How do I drive more card transactions via location understanding? Network Optimization: Where are my customers and how do they want to interact with me?Cross Sell: Who is my customer and what products should I offer her?Investment Banking: What alternative data helps me better understand investment opportunities?ESG: How can I better understand and predict the impact of new ESG initiatives on my profitability?Improve Efficiencies: Increase accuracy of comps and create amenity scores to improve Automate Physical Appraisal Waiver decision-making

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Die Automatisierung ist es, die Ihre Prozesseffizienz auf ein neues Niveau hebt. Tatsache ist, dass, obwohl Fortschritte erzielt werden, viele Unternehmen von der Transformation und dem Wachstum abgehalten werden, weil viele der Prozesse, mit denen Daten erstellt, verwaltet und gepflegt werden, fehleranfällig und langsam sind und sich im Laufe der Jahre kaum verändert haben. Gerade im Finanzbereich ist das fatal. Aus diesem Grund war es noch nie so wichtig wie heute, die SAP-Datenprozesse zu automatisieren. In dieser Präsentation erfahren Sie auf Basis eines Kundenbeispiels mehr darüber, wie zum Beispiel Opel/Stellantis Financial Services die Herausforderungen im Bereich "Compliance" gelöst hat.

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

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Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...

Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...

Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...

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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

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The 7 Things I Know About Cyber Security After 25 Years | April 2024

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Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...

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Artificial Intelligence Chap.5 : Uncertainty

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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

Applying Hyperautomation to SAP Processes for Better Business Results

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