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With SAP Datasphere, companies like PwC and Lufthansa are reaping the benefits of streamlined data access and interconnectivity, showcasing the profound impact of a harmonized data architecture. The integration of AI copilot Joule in SAP Analytics Cloud and expanded collaborations for data compliance, propels businesses towards deeper insights and achieving sustainable growth. The ability to refine AI models with precise, context-rich data will distinguish industry leaders, highlighting the strategic value of investing in sophisticated data infrastructure. #SAPDatasphere #GenerativeAI #DataDrivenFuture

Revolutionizing Decision-Making: SAP Analytics Cloud Unveils a New Era of Data Insights! What is SAP Analytics Cloud? SAP Analytics Cloud: Your unified cloud platform for BI, augmented analytics, and collaborative planning, empowering informed decision-making through data integration and visualization. Key Features and Capabilities: Unified Data Connectivity: SAC seamlessly connects to diverse data sources, whether they are on-premises or cloud-based systems, providing a comprehensive view of the data landscape. Data Visualization and Exploration: Its intuitive interface allows users to create compelling visualizations and explore data through interactive dashboards and stories, making complex data sets easily understandable. Collaborative #Planning: Teams can collaborate in real-time on planning scenarios, budgets, and forecasts within SAC, fostering better alignment and faster decision-making. Predictive Analytics: SAC's predictive capabilities enable organizations to forecast trends, identify outliers, and simulate future scenarios, aiding in proactive decision-making. Embedded #Intelligence: It incorporates intelligent technologies such as natural #language processing (NLP) for conversational #analytics, enabling users to ask questions and receive instant insights. #Mobile Accessibility: With mobile-friendly interfaces, SAC ensures access to data and insights on-the-go, allowing stakeholders to stay informed and make decisions irrespective of their location. Visit - https://lnkd.in/gGRf4EUp Industries Benefitting from SAP Analytics Cloud: Retail: Optimizing inventory, understanding customer behavior, and improving sales forecasting. Finance: Budgeting, financial planning, risk management, and performance analysis. #Healthcare: #Analyzing patient data, resource allocation, and operational efficiencies. #Manufacturing: Supply chain optimization, predictive maintenance, and production planning. #Telecommunications: #Customer churn analysis, #network optimization, and revenue forecasting. https://lnkd.in/gpCQ5Na4 The Impact on Business: Improved Decision-Making: SAC enables data-driven decision-making by providing comprehensive #insights, reducing guesswork, and #enhancing accuracy. Enhanced #Collaboration: Teams can work collaboratively on data, fostering a culture of #transparency and alignment across #departments. Cost and Time Savings: Automation and streamlined processes within SAC lead to reduced operational #costs and faster time-to-insights. #Scalability and Flexibility: The cloud-based nature of #SAC allows scalability and adaptability to changing business needs without significant #infrastructure investments. Pratima GuptaPratima JhaIsub GavitVipin Valvi #SAPAnalyticsCloud #AugmentedAnalytics #UnifiedData #InformedDecisionMaking #CloudPlatform

SAP Labs India Unveils Data Innovations for Enhanced Enterprise Planning, Capturing data to make better decisions is an enterprise technology imperative that’s become increasingly critical as AI – which relies on quality data – revolutionizes every aspect of business, #Corporate #InFocus #sap #innovation #technology #datainnovation Faiz Askari SMEStreet 

#GenAI has disrupted and simplified business processes. Data capture is no different. This week SAP announced new generative-AI features in SAP #Datasphere that will transform enterprise planning through simplified data landscapes and more-intuitive data interaction. SAP is making it easier to find the right data and use it to drive deeper insights, with more efficiencies, faster growth, and more trust in their business. This announcement coupled with the two strategies listed below will give customers yet another way to implement #AI and #GenAI in practical meaningful executable use cases. 1️⃣ SAP's generative AI copilot #Joule available in #SAPAnalyticsCloud and 2️⃣ Partnership with Collibra to help customers meet compliance, privacy, and regulatory requirements Martin Stenzig is our resident expert and industry thought leader for all things to do with SAP #Innovation. To learn more about how to leverage your data assets for trusted AI and GenAI use cases read the article. Reach out to me directly if you would like an exploratory discussion on how to innovate with your SAP data assets. Rizing Consumer Industries Angela Colantuono GAICD Martin Turner Steven Moraitakis Jarmo Rasi Diego Lombardini Vinh Vu Christopher Smith Harin Nanayakkara Matt Monroy Martin Ravell James O'Donnell

Are you a #manufacturer or #distributor struggling to harness the power from your data? The Infor Data Lake can help! The Infor Data Lake: Unifying Disparate Systems 1. The Power of Data Lakes A #datalake is a central repository consolidating data from various sources, including disparate systems, applications, and external data feeds. In the context of Infor, the Infor Data Lake plays a pivotal role in enabling data-driven decisions. Here’s how it works: • Integration: The Infor Data Lake seamlessly connects to both Infor CloudSuite and third-party applications. It acts as a bridge, tying together all these diverse data sources into a single, unified location. • Massive Data Storage: Once your data resides in the data lake, it becomes a treasure trove of information. Massive amounts of data—from transaction histories to operational records—are intelligently categorized and stored. • Data Catalog: The Data Catalog within the Infor Data Lake provides insights into critical properties such as data types and timestamps. It ensures that your data is well-organized and easily accessible for analysis and decision-making. 2. #AI and #ML: Transforming Insights into Action Now, let’s explore how AI and ML come into play: • Applied Machine Learning: The process of training AI systems—often called applied machine learning—allows them to learn from substantial training data. By exposing the system to real-world scenarios and adding feedback loops, accuracy, and effectiveness improve over time. • Predictive Capabilities: Infor’s approach to AI and ML leverages the layered ecosystem of Infor OS. By unifying otherwise siloed ERP products, Infor ensures that users make decisions in sync with the organization's operations state. This synchronization is crucial for accurate predictions and actionable insights. • Real, Tangible Value: AI and ML can transform raw data into actionable insights. Imagine having never-before-seen visibility into your existing data. With the Infor Data Lake, you can unlock previously hidden patterns, trends, and correlations. Whether analyzing open quotes, orders, or invoices, AI tools can help identify what truly matters each day. 3. Accelerating Your Data Insights By leveraging the Infor Data Lake, you can: • Gain Real-Time Insights: Access up-to-date information across your organization, enabling faster decision-making. • Enhance Customer Intelligence: Understand your customers better by analyzing their behavior, preferences, and interactions. • Optimize Operations: Use AI to streamline processes, identify bottlenecks, and improve overall efficiency. Goto infor.com to learn more

Generative AI has disrupted and simplified even more business processes – and data capture is no different. That's why SAP announced new generative-AI features in SAP Datasphere that will transform enterprise planning through simplified data landscapes and more-intuitive data interaction.Reach us at info@msitekus.com to learn more. #genai #generativeai #bigdata #sap #sapcommunity

📊SAP HANA Cloud Vector Engine empowers AI insights with multi-model capabilities. Enhanced user experience in SAP Datasphere simplifies data consumption. Semantic Onboarding Enhancements streamline data import. Collibra AI Governance Integration ensures data governance. SAP Datasphere Confluent Integration enables real-time data streaming. Integration with SAP Analytics Cloud revolutionizes planning. These advancements reshape data management and analytics, driving efficiency and unlocking new possibilities for businesses. #SAPDataUnleashed #DataInnovation #DataManagement #DataAnalytics #AI #Innovation #DigitalTransformation #BigData #MachineLearning #CloudComputing #SAP #Technology #BusinessIntelligence #DataScience #DataInnovation #ArtificialIntelligence

SAP Datasphere and SAP Analytics Cloud for planning will be more closely integrated to expand the business data fabric to planning use cases

SAP Shapes the Future of Data-Driven Business Transformation to Help Customers Succeed in the Era of AI >> SAP Datasphere now features generative-AI capabilities, including a copilot for automated report creation in the SAP Analytics Cloud. >> The business data fabric architecture is central to these innovations, ensuring data serves as a core element in strategic initiatives. >> Updates include a knowledge graph for discovering hidden insights, AI governance through an expanded partnership with Collibra, and unified planning and analytics with advanced features in SAP Analytics Cloud. >> These enhancements aim to simplify data landscapes, maintain context, and empower organisations to adapt swiftly to market changes. #sap #sapnews #ai #digitaltransformation #datasphere

The next generation SAP Datasphere #sapdatasphere is here, complete with enhanced #datamanagement #dataintegration and #analytics powered by SAP Analytics Cloud #sapanalyticscloud and partner offerings from #collibra and #confluent - all announced at #SAPDataUnleashed