Building a solid data foundation and achieving information excellence is essential to delivering the business agility needed to navigate change and rapidly make business decisions. Helping business teams harness their data assets and the responsiveness to adjust the collection and communication of these valuable resources is extremely relevant to support the improved efficiencies needed within the organization in times of change.
So, we’ve brought together experts in data management and strategy to discuss key topics and trends that are reshaping the way companies leverage data to unlock the full potential of this valuable enterprise asset.
Listen to this podcast series on all things data!
Watch for new podcasts and catch up on topics you might have missed.
Season 6 Preview: Podcasts on data strategy, use cases, and related SAP solutions
Ep. 50: SAP and Sodales: How to innovate, build, and monetize your SAP BTP solutions Sodales Solutions builds solutions for a company’s health, safety, and environment management – and they do so using SAP Business Technology Platform (SAP BTP). Through their ongoing innovation and reliance on SAP BTP, Sodales is making the most out of the white spaces they identify. Listen to what the “SAP BTP role model” has to say and learn more about their innovation approach, thoughts about the SAP store, hiring criteria, and more.
Ep. 49: The Forgotten Problem: How to manage data volume growth while decreasing costs and risks Data volume growth is accelerating. The costs and risks to manage all that data go beyond just storage. Join Deepak Sood, CEO of Auritas, and Robert Pickering, Senior Director for Solution Management, Business Technology Platform at SAP, as they discuss how and why to manage the lifecycle of data while balancing the cost of resources, ownership, risk and legal compliance.
Ep. 48: Exploring the Partner Value of SAP BTP with SAP, IDC and SAP partner Rizing In this podcast episode, you will hear from executives at SAP, IDC, and SAP partner Rizing, on the value partners derive from SAP’s Business Technology Platform (SAP BTP). Led by Paul Edwards (Director, Software Channels & Ecosystems at IDC), an informed discussion with Martin Stenzig (CTO, Rizing) and Tom Le (Global VP Partner Solution Advisory, SAP) expands on the findings of the IDC Partner Success Guide, which explores the business and technology accelerators available to partners through SAP BTP. The executives cover topics such as how Rizing is innovating with SAP BTP, the scope and impact the platform has on the customer lifetime value, and the SAP programs offered to ensure partner success with SAP BTP. Access the podcast now to learn more.
Ep. 47: Commodity Price Prediction with SAP Data Intelligence Ratan Yedla and Sumanth Krishnan from VASPP Technologies discuss how Commodity Price Prediction works with SAP Data Intelligence. They discuss the use of AI (Artificial Intelligence) and ML (Machine Learning) models to predict future prices based on previous patterns, external events and IoT data, predicts prices with less forecast error to enable better buying decisions which helps yield cost savings for organizations. VASPP Technologies did this work during the SAP Data Intelligence content sprint.
Ep. 46: Building DataXstream’s Intelligent Automation with SAP Data Intelligence Xilin Cheng and Kathleen Taggart from DataXstream discuss building Intelligent Automation (IA) and the advantages of using SAP Data Intelligence for MLOps. The team goes over the problem wholesale distributor’s face with trying to fulfill large quotes and orders accurately and efficiently. Traditionally, this required Customer Service Representatives (CSRs) who understood SAP GUI and had years of industry experience spending hours inputing data. With Intelligent Automation, optical character recognition (OCR) is used to read text into the machine learning models built by Xilin. He discusses the natural language processing (NLP) techniques used in addition to the advantages of developing machine learning pipelines in SAP Data Intelligence. Kathleen and Xilin then wrap up with the future of Intelligent Automation and the potential of using machine learning to win more deals and improve customer buying experience.
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