Like many new technologies, AI was hyped and then questioned. But AI is here and it is here to stay.
The key question is. How do we use it and where does it make the most sense?
McCoy helps answer these questions. Our developers and data scientists explore every aspect of AI to offer sound advice.
AI is a broad term. One core concept is Neural Networks, similar to how the brain works. Watch our video where colleague Jelle Zwiers explains how it works.
There are multiple ways to use AI. For example, SAP Build uses Generative AI to generate and improve apps, screens and workflows. SAP and other providers offer SDKs to call AI models directly from your applications.
All types of SAP systems, whether Public Cloud, Private Cloud or On Premise, can use AI.
There is a difference in how integrated it is. SAP delivered AI versus manually developed solutions. These can enhance or even automate your processes.
Traditional AI works through triggered actions, defined steps that lead to an answer. The answer quality depends on how well these steps are designed.
To improve this, you can build an AI Agent. A digital assistant that works with goals rather than just steps.
This adds reasoning (is the answer good enough?) and action (taking further steps if needed). It is a more human like ReAct process.
This is powerful, but also risky. When do we feel comfortable letting AI make decisions? It is a realistic and important question.
McCoy helps develop AI agents that take action where appropriate and escalate to humans when needed.
Our Business Intelligence experts use advanced tools and AI to deliver sharp insights and decision support.
No business wants its data leaked or misused by an AI provider.
There are contracts and security tools available, but you are still depending on the provider.
McCoy helps connect local company documents and data to AI in a secure and private way.
We offer solutions to deploy AI on a private, secure server of your choice.