DataRobot helps SAP customers maximize their SAP investments with AI apps, delivering industry- and business-specific solutions that seamlessly integrate with SAP systems of record.
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DataRobot
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises competing in today’s Intelligence Revolution. Its enterprise AI platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. Learn more at datarobot.com.
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Agentic AI Apps: Develop, deliver, and govern custom agentic AI applications for your business needs
Don’t settle for generic AI. Build custom agentic AI solutions that align with your business, protect your data, and seamlessly integrate with your everyday operations.
Ditch the complex tech stack. Unify your AI team with feature-rich tools tailored to their roles. Empower data scientists to developers and engineers to IT with the solutions needed to streamline workflows and deliver secure AI apps, fast.
Featured Content
The DataRobot Gen AI Playbook is your comprehensive guide to low-effort, high-impact use cases that create real value for you and your organization. Build your expertise and AI capabilities with a holistic look at the technical, infrastructure, and skill requirements to reach your goals and discover how to manage common risks throughout the AI lifecycle for true long-term value.
Organizations are charging ahead to explore and harness the power of generative AI. But as with any other technology in its relative infancy, there are a lot of unknowns. Which generative AI model suits your needs? Which vector database do you use? Which use cases do you pursue? This technological “Wild West” leads to a lot of experimentation and discovery. These circumstances create the ultimate breeding ground for procedural, technological, and organizational chaos. Teams are exploring new infrastructure. Users new to AI are experimenting with generative AI applications. A myriad of models go through testing and business validation. All of this “AI sprawl” has the potential to overwhelm operations teams.
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See how supply chain and AI leaders are driving measurable impact with intelligent, adaptive planning. Join Norfolk Iron & Metal Director of Data Analytics Ben DuBois, SAP, and DataRobot AI experts to explore how AI-driven forecasting is reshaping supply chain decision-making for increased agility and reduced costs in the face of constant disruption.
See how the Demand Planning App enhances forecasting in SAP IBP. Join DataRobot experts for a live walkthrough of how the Demand Planning App integrates with SAP IBP to deliver accurate, scalable forecasts—without disrupting existing workflows.
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Cloud and AI Security for SAPMost SAP customers are now running at least some enterprise systems in the cloud. At the same time, organizations are exploring ways to incorporate AI into their enterprise workloads. This convergence of technologies is hugely important from a security standpoint and raises questions about how organizations are planning on securing their expanding cloud footprints while ensuring that their use of AI is protected. In addition, the expanding use of AI to both protect systems as well as defend against attacks is both complicating, while potentially streamlining, the task of protecting cloud-based systems and AI workloads from attack.
In exploring the factors most responsible for influencing cloud and AI security strategy for SAP systems, the differences between these respondent groups were significant. For example, more than half the leaders reported that their strategies were most impacted by the emergence of AI-enhanced attack techniques targeting ERP and SAP systems. Meanwhile, the
majority group were still focused on tasks like ERP modernization and a demand to standardize security across cloud and hybrid environments. These are factors that are of lesser importance to leaders, reflecting the fact that leaders are more likely to have already addressed these concerns or are on their way to completing modernization plans
This year's research also explored the owners of SAP cloud and AI security strategy, how risk associated with using AI in SAP-related operations is being managed, and measurable security outcomes achieved through adoption of cloud or AI security capabilities for SAP workloads.
The findings indicate that organizations must start planning for how they will manage security for cloud and AI use in their SAP environments if they are to successfully secure these workloads in the future.
Download the benchmark report to read the full data analysis and receive recommendations for your own plans.
- Understand how SAPinsiders are adjusting their security strategy to manage cloud and AI workloads.
- Explore the technologies and partner solutions in use to protect cloud and AI workloads.
- Learn about how SAPinsiders are managing risk when it comes to cloud and AI security strategy.
- See what SAPinsiders can learn from those leading in cloud and AI security.
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