Avoid Integration Breakdowns: Live Guidance for Data Continuity in SAP, NVIDIA Interview, 25 AI Terms

Hi Data & AI Pros,

Accessing data residing in SAP has long been a major challenge for enterprises—slowing down analytics, delaying AI initiatives, and creating unnecessary complexity across the data landscape. And as the SAP ECC sunset approaches, these challenges are becoming even more pronounced. 

Join our live event — November 19, 3:30pm CET | 9:30am ET —CData experts will unpack what these changes mean for your integration strategy and how to keep your SAP data accessible and governed across hybrid and multi-cloud environments. 

In this session, you’ll learn:  

• The impact of RISE with SAP and the ODP ban on your current and future integrations  

• How to achieve ODP-independent SAP data access for analytics and operations  

• Best practices for bridging hybrid and multi-cloud architectures (Azure, AWS, GCP, on-prem)  

• Real-world examples of enterprises automating billions of SAP records monthly  

• Guidance for aligning modernization with GDPR, data sovereignty, and auditability

Don’t let policy shifts derail your SAP strategy — join us to stay connected, compliant, and ready for the future.

Agentic AI is getting loud, but most teams are still asking the same question: what can I actually ship to production right now. I got a chance to chat with Adel El Hallak, Senior Director of Product Management at NVIDIA, where we break down Nemotron in plain terms for builders. No hype. How do you go from pilot to something real.

Check out the complete interview with Adel below

Learn about the 25 AI Terms!

— Artificial Intelligence is the simulation of human intelligence in machines, enabling them to perform tasks like learning, reasoning, decision-making, and problem-solving autonomously

— Machine Learning is a subset of AI focused on teaching machines to learn from data and improve performance over time without explicit programming

— Deep Learning is a type of machine learning that uses neural networks with many layers to analyze complex patterns in large datasets

— Neural Networks mimic the human brain's structure and function, recognizing patterns and solving complex problems in data

— NLP is a field of AI that enables machines to understand, interpret, and generate human language, facilitating human-computer interactions

— Computer Vision trains machines to interpret and understand visual information from the world, such as images and videos

— Supervised Learning is a type of machine learning where models are trained on labeled data, meaning input data is paired with the correct output

— Unsupervised Learning involves training models on unlabeled data, allowing them to find patterns and relationships independently

— Reinforcement Learning involves an agent learning to make decisions by receiving rewards or penalties for its actions in an environment

— Data Mining is the process of discovering patterns and insights from large datasets using techniques from statistics, machine learning, and database systems

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Best,

Ravit Jain

Founder & Host of The Ravit Show