AI in the Real World: How Non-Technical Teams Can Leverage GenAI Without Writing a Single Line of Code

Many teams want to adopt AI, but they’re still stuck in Excel, manual reporting, and outdated workflows. In this session, I’ll share a practical roadmap for how any organization can move from spreadsheet-heavy processes to a modern, AI-ready data setup—without needing big budgets, large teams, or complex new platforms. I’ll walk through simple steps to automate processes, connect existing tools, and gradually build an enterprise data foundation that supports real AI use cases.
Who is this presentation for?
• Data analysts, business analysts, and operations teams • Managers who want to bring AI into their teams • Anyone working in Excel-heavy or manual environments • Organizations that want to modernize but don’t know where to start
Prerequisite knowledge:
• Basic understanding of Excel • General familiarity with data (tables, reporting, KPIs) • No coding experience required • Basic understanding of Excel • General familiarity with data (tables, reporting, KPIs) • No coding experience required • No prior AI knowledge needed • No prior AI knowledge needed
What you'll learn?
1. How to identify processes that can be automated immediately 2. How to use existing tools (Excel, SQL, Power Apps, Python, GenAI) to modernize step-by-step 3. A practical framework for building an AI-ready data foundation with low cost 4. How to avoid the biggest modernization mistakes companies make

I am a Data Scientist and Analytics professional with 8 years of experience working across organizations like FedEx, Discover, and HSBC. My work spans AI, business intelligence, product analytics, and compliance, where I specialize in transforming complex data into insights that drive innovation, operational efficiency, and customer-focused decisions. Throughout my career, I’ve built end-to-end analytics and automation solutions using SQL, Python, Tableau, Power Apps, and Generative AI—ranging from automated compliance reporting systems to large-scale data applications that streamline workflows and reduce risk. Alongside my professional work, I’m a top 1% creator on Topmate and an active mentor on LinkedIn, where I help freshers and early-career professionals break into data roles, craft strong resumes, and excel in interviews. I enjoy simplifying AI concepts, teaching practical analytics, and building tools that make data more accessible to everyone. I’m passionate about leveraging AI responsibly, solving meaningful business problems, and empowering the next generation of data and analytics leaders.