It’s safe to say that AI is everywhere. It’s often a case of “the answer is AI, what’s the question”?
The reality is that business landscapes are rapidly evolving, driven by innovative technologies like Cloud ERP and Business AI.
The business data now available in Cloud ERP systems, complimented by unstructured data from external sources provide a foundation to change the way we make decisions, empower users, automate processes, and predict the future.
Trust in the data and AI recommendations
But AI is only as good as the data it is analyzing.
SAP’s customers provide products that run the world, from baby milk formula to the vehicles that move us from place to place. They look for business systems that help them grow, predict, and adapt to risks, opportunities, and ever-changing business dynamics. And they need to be confident that the decisions they make based on AI generated insights and recommendations are accurate and informed.
Wouldn’t you want AI from someone who has decades of experience of running serious businesses and business processes?
Welcome to Business AI
Business AI leveraging machine learning and natural language processing, analyses this data to generate insights and automate tasks.
This powerful combination of Cloud ERP and Business AI empowers businesses to transform operations, gain deeper insights, and make data-driven decisions with unprecedented accuracy.
As Deloitte’s Subit J. Mathew explained in a recent Future of ERP podcast, “ERPs of the future will be composable, and what makes them composable is a r...
With SAP Business AI, we build the system of intelligence with three core principles:
- Relevant: Everything is embedded into our leading enterprise applications and business technology solutions. Customers can count on their SAP systems to be futureproofed with the most relevant AI experiences in the context of their business.
- Reliable: Based on the unique business data AND business process context, we can deliver the most reliable business AI. Your AI is only as good as your data – we have the most important data and the only one with business data context intact.
- Responsible: We deliver AI with the highest levels of concern for security, privacy, compliance, and ethics. SAP has the right character to deliver AI responsibly. Ironically, the more responsibly one builds AI technology, the freer an organization is to use it.
Creating an AI Business Strategy
This underscores the necessity for businesses to thoroughly assess and comprehend various related aspects to craft a robust AI Business Strategy. The key is to identify your business challenges you need to address, the use cases that will improve your business, and then determine how best to address them.
The possible applications for AI in the business context seem endless, but how do you turn this potential into tangible value? What scenarios will work best for your business? How do you build an AI strategy? And how will AI align with your specific operational requirements?
As Subit explained in the podcast, “AI is really about doing things that you do today differently, and being able to do differ...
We discussed how companies need to segment their AI strategies into three distinct categories:
- Improve efficiency to do the things it does today in a different, more accelerated fashion.
- Improve the user experience to become more intuitive and provide contextual information.
- Deliver new processes and innovation previously not had in the organization.
A lot of companies are looking at establishing AI Center of Excellence, which really look at it from multiple perspectives and involves answering several questions:
What is the right governance model you want to put in place around what initiatives do you even prioritize?
