Diving into Artificial Intelligence (AI) can feel overwhelming at first, but it’s quickly becoming an advantage for organizations ready to lead. At the 2025 OPEX Business Transformation World Summit I heard directly from leaders about their real challenges and breakthroughs — and how they’re turning AI into a powerful driver for growth.
Rapidly Increasing Use of AI
In 2023, access to large language models (LLMs) became available to anyone interested, thanks to innovations like OpenAI’s ChatGPT and Google’s Gemini. The use of large language models has become synonymous with AI. Today AI is at the center of conversations in management teams and boardrooms globally, with everyone wanting to explore how these models could drive their businesses forward.
A survey in late 2024 by McKinsey found that reported use of AI increased in 2024: 78 percent of respondents say their organizations use AI in at least one business function, up from 72 percent in early 2024 and 55 percent a year earlier. Artificial intelligence helps organizations make smarter decisions, better serve customers, and run more efficiently. It’s time to explore what AI can do for your organization.
Top Issues Enterprises Face in AI Transformations
Inside the OPEX sessions is where I learned about the common challenges organizations are facing regarding adopting AI technologies:
- Data: Poor data quality, lack of sufficient data, or data silos are still pain points at many organizations
- Culture and Fear of Change: The proposition of implementing AI is relatively new for many organizations, and leadership and employees may need to understand it better to buy in
- Staffing: Without the proper data literacy background and AI expertise, companies may need to upskill current employees or seek out new ones
At Minitab, we help customers turn data into insights. It was no surprise to hear that successful AI is predicated on good data, as we’ve developed capabilities to help investigate and utilize data across all our solutions.
Maintaining Quality Data
This is critical; knowing the right data is going into your AI instance makes all the difference. Minitab can help ensure data quality by addressing characteristics like:
- Accuracy: Data analysis to identify inconsistencies or errors
- Completeness: Identification of missing values and handling them appropriately
- Consistency: Calling out patterns and trends in data
- Timeliness: Real-time monitoring and analysis
Solve quality challenges with the power of AI.
Get Ahead—With AI that Works for You
Minitab has been harnessing the power of machine learning and rules-based AI to provide trustworthy and accurate results for our customers for many years. The Minitab Solution Center integrates many AI-driven features to:
- Explain results and technical details in natural language for all levels of users
- Assist in brainstorming ideas to accelerate problem solving
- Provide helpful information or suggestions to make your analytics journey faster and easier
Businesses are not immune to poor data quality. Before data goes into AI-powered analysis the Data Center utility in the Minitab Solution Center will:
- Automate Data Quality Checks: The company can set up automated checks to ensure the data is accurate and complete. After the model has been created and compared to actual data, the team will continuously add data to it to ensure that they are closely monitoring and refining the forecast. This includes identifying missing values, outliers, and inconsistencies.
- Generate Summaries: Quick summaries of key metrics can be generated to provide an overview of the data. This helps in understanding the distribution and trends at a glance.
- Repeat Data Preparation Tasks: Commonly used data preparation tasks can be saved and reused, streamlining the process for future analyses.
Begin Solving Problems. Take the Next Step
Change isn’t always easy, but you don’t have to tackle it alone. With the right partner, your data can work harder for you — and so can AI. Now is the time to see what’s possible when you put your customers, your teams, and your decisions at the center of your AI journey.
