Artificial intelligence (AI) is reshaping how organizations collect, analyze, and act on data. Analytics focusing more on predictive and prescriptive insights via AI. Minitab has been providing this to customers for years. More organizations than ever are embracing AI in their data-driven decision-making strategies.
Industry forecasts reflect this momentum: Gartner predicts that by 2028, more than 95% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments. up from less than 5% in 2023. McKinsey further estimates that AI could deliver up to $4.4 trillion annually in global productivity gains.
Here are three of the hottest AI trends shaping the analytics space today, and how Minitab is at the forefront of making them real for organizations.
1. Generative AI for Automated Insights and Data Storytelling
Generative AI is rapidly evolving from content creation to business-critical analytics applications. In data-driven organizations, it enables:
- Automated report generation: Turning complex statistical analyses into clear, digestible summaries.
- Data storytelling: Converting raw results into narratives with natural language explanations that drive action.
- Conversational analytics: Empowering users across skill levels to query data in plain language and receive trustworthy insights instantly.
Minitab in Action: With Minitab AI, users can generate natural language summaries of statistical results that explain key findings in plain English. This reduces dependency on experts, shortens time to insight, and ensures decisions are made on a foundation of clarity and confidence.
2. Augmented Analytics and AI-Powered Automation
AI is embedded directly into analytics platforms, making traditionally manual processes faster and smarter. Organizations are leveraging:
- Automated data preparation: Streamlining data cleaning, transformation, and integration.
- Automated insight generation: Detecting anomalies, correlations, and hidden patterns that humans might miss.
- Predictive and prescriptive analytics: Not just forecasting what will happen but recommending the best course of action.
Why it Matters: Using predictive analytics to improve decision-making reduces time-to-insight, and augmented analytics closes the gap between discovery and execution.
Minitab in Action: The Minitab Predictive Analytics Module integrates predictive analytics and AI-driven automation to provide faster, more reliable forecasts. Users can uncover patterns in their data, anticipate what’s next, and get prescriptive guidance on how to achieve better outcomes.
Learn more in this webinar:
"Introducing the Minitab Solution Center: Dashboards and AI Capabilities"
3. Data-Centric AI and AI-Ready Data
As AI models grow more sophisticated, the spotlight has shifted to the quality of data feeding these models. Without clean, consistent, and contextualized data, even the most advanced algorithms fall short.
Trends driving this shift include:
- Data-centric AI: Prioritizing data quality, governance, and context to improve outcomes.
- AI-ready data: Ensuring data is prepared, structured, and governed to maximize AI value.
Why it Matters: According to IDC, organizations that invest in improving their data quality and governance see a 2.5x return on AI investments compared to those that don’t.
Minitab in Action: With proven validation and strong data practices, Minitab delivers AI that’s accurate, dependable, and designed for real-world impact.
Looking Ahead
AI in analytics isn’t just about efficiency, it’s about transformation. From automating storytelling to enhancing predictive power and prioritizing high-quality data, organizations that embrace these trends will become leaders in their industries.
At Minitab, we are dedicated to delivering AI that is trustworthy, impactful, and results driven. If you’re ready to harness analytics for smarter decisions and measurable outcomes, we’d love to connect with you.
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