Saibal Samaddar’s opinion on AI in Business Intelligence and Smarter Business Growth

AI in Business Intelligence (BI) helps companies analyse data, identify patterns, predict trends, and make faster business decisions while reducing manual work. With 88% of organisations regularly using AI in at least one business function, according to McKinsey’s 2025 AI survey, the focus is now on turning AI adoption into measurable business results.

Saibal Samaddar, Senior Principal at Infosys Consulting, brings valuable experience in data, analytics, and business transformation, highlighting how technology can solve real business challenges.

How AI is changing business intelligence

Traditional BI uses reports and dashboards to show business performance. AI takes this further by helping companies identify patterns and predict possible outcomes.

For example, retailers can use AI to forecast product demand. Banks can identify unusual transactions, while manufacturers can predict equipment problems.

AI tools also allow employees to ask questions about business data in simple language, making information easier to access without relying on reports for every answer. These capabilities are making business intelligence more accessible, efficient, and useful across different business functions.

Turning business data into better decisions

AI-powered BI helps companies move beyond reports and take action.

For example, if customer complaints increase, AI can help identify common problems and possible causes. Businesses can then take steps to improve their services.

Companies can also use AI to study sales, manage costs, forecast demand, and improve customer experiences. The key is to set clear goals. Businesses should measure whether AI saves time, improves accuracy, reduces costs, or increases customer satisfaction.

Challenges of using AI in business intelligence

AI can deliver useful insights, but its results depend on data quality, security, and human judgment. Poor data can lead to incorrect results. Companies must also protect sensitive information and control who can access it.

Employees need to understand AI-generated insights and check important findings before making decisions.

McKinsey’s 2025 research found that 64% of respondents said AI was enabling innovation, while 39% reported an impact on enterprise-level earnings before interest and taxes (EBIT).

This shows why companies need more than AI tools. They also need good data, clear goals, trained employees, and proper planning.

How Infosys Consulting drives AI-led business transformation

Infosys Consulting helps businesses connect technology with their goals. Saibal Samaddar’s experience in AI transformation reflects the importance of linking business strategy with data and technology.

The process starts by identifying business problems. A company may want to improve sales forecasts, reduce reporting time, or manage risks more effectively. The next step is to improve data quality, select suitable AI tools, and set clear targets. Businesses can then test solutions and measure their results.

Employee training and responsible AI use are equally important. Teams must know how to use AI insights, check results, and make informed decisions.

This approach helps businesses move beyond small AI projects and use data more effectively across their operations. For Infosys Consulting, the goal is to help enterprises use AI to improve performance, solve business challenges, and support long-term growth.

Conclusion:

Successful AI adoption requires more than implementing new tools. Business Intelligence must focus on data quality, employee skills, responsible AI practices, and measurable outcomes. With the right strategy, AI can help organisations streamline operations, manage challenges, and build stronger foundations for future growth.

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