In this podcast4 in season3, we will be having a detailed conversation with a start-up founder from the ML Ops platform Katonic AI as an example. The conversation focuses mainly around how enterprises benefit while leveraging the ML Ops platforms in the context of infusing intelligence into their business processes or solving the business needs. We talk about the various stages involved in an AI project flow and the current need of ML Ops on the lines of dev Ops! This is a good addition to the recently written article on the same topic by me at the medium blogs and this podcast also serves as a transition from my earlier podcast #23.

In this podcast3 in season3, we will be having a detailed conversation with 2 of our SAP AI experts working on AI projects and implementations. The conversation basically touches upon the various stages involved in an AI project flow with the enterprise customers and also the various data science tools used there of! This is a good addition to the recently written article on the same topic by me at the medium blogs.

In this podcast 2 in season3, we will be having a detailed conversation with an expert from the realm of conversational AI. You will experience an engaging conversation on the concepts of conversational AI and how this is evolving into digital assistants and we tie this into the enterprise context and also explain how SAP is helping customers in this space. 

In this podcast 1 season 3, we will be having a conversation with an AI expert and an evangelist from SAP on the topic of application embedded AI and how this will help design and define better business outcomes for the enterprise customers. We will also briefly touchbase on the various other AI technologies used in the context of an end-to-end process which will kick start our forthcoming conversations for the season 3.

In this podcast 10 season 2, we will be having an in-depth conversation with our experts from the ISLM team to provide some thoughts about the new enhancements in the ISLM framework and how SAP apps can benefit out of it. We will also be discussing about how the customers and partners can benefit using the ISLM framework for building intelligence into their business processes.

In this podcast 9 season 2, we will be having an in-depth conversation with 2 of our data scientists from our machine learning team. We will be focusing our discussion about how different is the enterprise space while comparing it with the consumer space and the key aspects around the importance of data. We also touch base on some of the techniques of doing AI modeling in the context of some real enterprise use cases.

In this podcast 8 season 2, we will be having a conversation with 2 of our data science experts who worked with enterprise customers in the machine learning space. We will discuss a few examples and also the guidelines and principles in doing machine learning in the enterprise customer space.

A brief teaser into the topics focused on machine learning and SAP apps in the year of tWenty22 aka 2022. Stay tuned and connected on the upcoming podcast sessions in 2022.

In this podcast 7 season 2, we will be having a conversation with our product experts Robert McGrath and Antoine Chabert from SAP Analytics cloud to discuss the smart features that are available for doing machine learning in the context of SAP S/4HANA. The conversation mainly focuses on the smart assist and smart predict features in SAP Analytics Cloud with some examples of how SAP S/4HANA and SAP SuccessFactors can leverage them. 

In this podcast 6 of season 2, we have a detailed conversation of how machine learning and predictive analytics enhances the planning functionality with SAP S/4HANA. This is an expert chat with Mark Burke who is the guru of Planning with SAP. Mark provides his thoughts about how planning functionality is enhanced with machine learning and discusses briefly the various examples such as the workforce management, sales & operational planning, financial planning & analysis. In this podcast, we also discuss briefly the various SAP planning solutions leveraged in the context of SAP S/4HANA.