Without a doubt, artificial intelligence (AI) will have a profound impact on the footprint of enterprise resource planning (ERP) solutions in the foreseeable future. AI will enable organizations to further optimize their operating model made up of business processes, software applications, governance structures and technology infrastructure.
“If you don’t innovate fast, disrupt your industry, disrupt yourself, you will be left behind.” – John Chambers
To orchestrate this transformation, organizations must revamp their IT strategies and roadmaps and ingest the value of artificial intelligence and enterprise resource planning (ERP) integration. These technologies go hand in hand because they cover the same spectrum.
AI-enabled ERP solutions will by default impact the heart and soul of day-to-day operations. The mix of people, process and technology is going to change. AI solutions will take over routine tasks in the end-to-end business process model that are currently performed by humans. This particular change is driven by an ongoing need to reduce operational cost. It is an irreversible process: “You either disrupt or get disrupted.”
At the same time AI can augment people’s capabilities and the effectiveness of the organization as a whole. This can be realized by shifting the focus to non-routine, analytical and creative tasks. Such a shift can only happen when AI and ERP are being addressed at the same time.
With the evolution of ERP solutions over the last two decades, organizations have gained access to a wealth of structured data. Nonetheless, they continue to struggle with transforming data in meaningful information, decisions and actions. The last five years, this situation got further challenged with the explosive growth of unstructured data that organizations capture without a clear approach on how to properly use it.
The ingredients to solve this situation are available and becoming more and more mature every day:
- ERP solutions that enable organizations to run cost-efficient and effective operations.
- Big data solutions that can manage structured and unstructured data.
- Business analytics solutions that can provide information with a user-friendly experience.
- Cloud infrastructure that can make enterprise solutions widely accessible.
- Computing power that allow enterprise solutions to manage large data sets and complex algorithms.
- In-memory database technologies to explore large data sets in real-time.
- AI solutions that can learn, speak, read, respond, predict and execute transactions.
- Internet of Things (IoT) technology to capture real-time performance information.
Customer service is an example of a functional area where AI technology is emerging. Very recently, KLM deployed an AI solution that has the intent to improve the response to customer inquiries received through social media channels.
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SOURCE: CIO
Bas de Baat
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