Rama Kattunga

Rama Kattunga is a seasoned technology leader with over 15 years of experience driving data-driven innovation at global tech giants like Samsung, Intel, and Microsoft. He combines his extensive technical expertise in data, AI, and analytics with a passion for sharing knowledge, mentoring the next generation of leaders, and translating complex concepts into actionable business strategies. Rama is recognized for spearheading transformational data initiatives, securing strategic AI investments, and building high-performance teams. His insights on technology trends, data strategy, and digital transformation make him a sought-after keynote speaker and guest lecturer.
▪ Spearheaded data and AI initiatives at Samsung Electronics, leading to a remarkable 40x revenue increase for their e-commerce division.
▪ Directed Gen AI strategy and transformation, with a $100M ROI yearly and 130+ use cases while working with Koch Industries.
▪ Optimized a $1.3B marketing budget at Intel, leveraging AI insights to drive significant market value growth.
▪ Proven track record of building and leading high-performance data teams, fostering a collaborative and values-driven work environment.
▪ Demonstrated ability to translate complex technical concepts into actionable insights, influencing executive decision-making and driving business outcomes.
▪ Championed the development of scalable data, analytics, and AI infrastructure, resulting in operational efficiencies and cost savings.
▪ Pioneered using AI-powered product recommendations and virtual assistants to enhance customer experience and boost engagement metrics.
▪ Oversaw the implementation of advanced analytics solutions (Market Mix Modeling, NLP, predictive modeling) to inform strategic marketing initiatives and optimize ROI.
▪ Led cross-functional collaborations, aligning data-driven insights with key business objectives across diverse industries.
▪ Coached and mentored a total of 7000+ members on career, Data, Analytics, and AI
▪ Authoring articles, delivering presentations, and mentoring the next generation of data and AI professionals contributed to thought leadership.