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Enterprise AI is stepping into a new phase, where real impact and measurable results take center stage. Businesses are moving beyond early trials and focusing on data-driven decisions that create clear value.
In the latest episode of the Analytics Insight podcast, host Priya Dialani speaks with Rahul Madke, CEO and Co‑Founder of ScatterPie Analytics, about the fast-changing world of enterprise AI. With AI adoption rising sharply across global organizations, the discussion centered on how businesses are transitioning from simple experiments to tangible, measurable results. Priya noted that leaders today are no longer asking whether they should invest in AI; they want to know how much value it is actually creating.
Rahul explained that ScatterPie Analytics operates as an end-to-end data analytics company, helping enterprises make better decisions based on their data. The company processes data from many systems, cleans it, transforms it, and builds dashboards and AI‑powered insights on top of it.
With more than 150 enterprise clients across 20 industries, ScatterPie supports organizations that need clear and reliable insights from huge amounts of information. Rahul shared that the company’s focus spans data engineering, business intelligence, and AI/ML, helping clients understand their data and use it to improve business decisions.
Rahul also shared his own journey, which began in 2010 with large-scale data platforms and later grew into deeper work in analytics, visualization tools, and predictive insights. As the CEO, he oversees company growth, global expansion, and new AI initiatives.
His role includes shaping long-term strategies, understanding how markets are changing, and guiding enterprises in planning their next three to five years of AI and analytics adoption.
During the conversation, Rahul addressed a key question: Is AI still a buzzword, or is it delivering real value? He explained that while last year was marked by discussions and early trials, this year, companies have moved toward actual implementation.
Many organizations are utilizing AI to automate manual tasks, enhance decision-making, and obtain instant answers through generative AI tools. He added that while the shift is happening, successful AI adoption still depends on clear goals, strong data quality, and trust in the technology.
Rahul concluded that AI is becoming a core part of modern business, and its impact will continue to grow as companies move from pilot projects to real production systems.
With thoughtful planning and a strong data foundation, AI will help enterprises unlock new opportunities, reduce costs, and build smarter, faster ways of working.
