Going by the vastness and varieties of technologies that are emerging, business analysis will move towards specialization. No individual BA would be able to deliver end-to-end solutions in the digital world. It is the combination of business analysis specializations that will help deliver the desired customer experience. In the paper from International Institute of Business Analysis(TM) (IIBA(R)), Digital Business Analysis: Crossing the Chasm from Traditional to Digital1 the authors establish a specialization structure through micro-credentials for BA professionals that provides a direction for practitioners to contribute as a digital specialist. In this paper, we introduce a point of view on AI specialization a BA professional can look forward to, and examine the essential concepts of AI and evolution of the BA discipline in the AI space.

Industry leaders believe that Artificial Intelligence (AI) can help solve any business problem with the right amount of data to learn from and smart algorithms to implement AI.Organizations need to shift the conversation from being too late to adopt AI technologies to business outcomes AI can enable with its current maturity.BA professionals with the capabilities to understand business, technology, and customers have the first mover advantage in unpacking AI and providing real-world applications of AI with immediatepractical use.

The approach for getting the Business Analysis (BA) professionals up to speed with AI should start with:

Clearing the assumptions around types of AI technologies, industry terms, implementation approaches, current capabilities, and limitations;

• Understanding where the field is going, so that they can understand and adapt to changes as required to be effective in a project where AI is the key technology being used;

• Appreciating changing best practices, methodologies, and tools to apply in business analysis for AI.


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