by Business Analysis,
Artificial intelligence (AI) is rapidly transforming the business landscape by enabling organisations to leverage data insights and automate routine tasks. With the increasing use of technology and automation in business processes, many think that business analysts are going to change their roles, as many of the manual tasks can now be automated using machine learning and other advanced technologies.
On the one hand, AI-based analysis (e.g., machine learning or deep learning) can empower the Business Analyst role to deliver tangible value. On the other hand, Business Analysts are needed to provide the human perspective with their astute business knowledge and experience. For example, Business Analysts can work with various stakeholders on a project to determine the goals and objectives that AI should analyse.
Implementing AI in organisations is not just about throwing technology at a problem and hoping it will work. It requires careful planning, analysis, and collaboration between IT and business teams. This is where business analysis can help accelerate the adoption of AI in organisations.
AI is an umbrella term used as a catch-all bucket for any technology striving to perform tasks requiring human intelligence and skills. Machine learning, however, provides a system with the ability to learn to achieve AI.
AI is making a significant impact in the enterprise space, enabling organisations to automate processes, gain insights from data, and optimise operations. As AI continues to evolve, it will become even more critical for businesses to leverage technology to remain competitive and drive innovation. By embracing AI, organisations can unlock new opportunities for growth and transform the way they operate in the rapidly evolving digital economy.
of business processes, data analysis, and technology. Business analysts work with stakeholders to gather requirements, develop use cases, and create
specifications for technology solutions. By applying business analysis techniques to AI projects, organisations can ensure that their AI initiatives are aligned with their business objectives, and they can realise the full benefits of the technology.
Here are some ways in which business analysis can accelerate the adoption of AI in organisations:
- Defining clear business objectives: AI projects should always start with clear business objectives. Business analysts can help organisations define their goals and develop use cases that align with their objectives. This involves understanding the business processes that AI will be used to optimise, identifying key performance indicators (KPIs) that will be used to measure success, and identifying potential risks and challenges.
- Data analysis and modelling: AI projects require large amounts of data to train machine learning models. Business analysts can help organisations identify the data sources needed for AI projects, perform data analysis, and develop data models. This involves identifying data quality issues, ensuring that data is properly labeled and tagged, and selecting the appropriate algorithms for machine learning.
- Requirements elicitation and specification: Business analysts can work with stakeholders to elicit requirements for AI solutions and create specifications for technology vendors or internal IT teams. This includes documenting functional requirements, non-functional requirements, and user stories. Organisations can ensure that their AI solutions are built to meet their specific needs by providing clear specifications.
- Testing and verification: Business analysts can work with IT teams to guide test cases and verify the functionality of AI solutions. This involves providing context in the development of test scripts, execution of user acceptance testing, aimed at ensuring AI solutions meet the requirements.
- Change management and adoption: Finally, business analysts can help organisations manage the change associated with adopting AI solutions. This involves identifying stakeholders, providing imputes into the development communication plans, and training to support to end-users. By ensuring stakeholders are comfortable with new technologies, organisations will be more likely to succeed in their AI initiatives.
In conclusion, business analysis can play a critical role in accelerating the adoption of AI in organisations. By applying business analysis capability to AI projects, organisations can ensure that their AI initiatives are aligned with their business objectives to better realise the full benefits of the technology. As AI continues to transform the business landscape, organisations that leverage business analysis will be well-positioned to stay ahead of the curve.