Hemant Soni is a distinguished AI platform architect and digital transformation leader with 22+ years of specialized expertise architecting intelligent systems for Fortune 500 telecommunications and technology companies. As Principal Architect at Capgemini and strategic advisor to Ericsson, Nokia, Cisco, and Vodafone, he pioneered reinforcement learning-based decisioning platform in telecommunications, delivering solutions that generate $1.6B+ in measurable business impact while processing 20 million AI-driven decisions monthly across 6.5 million customers. His deep technical expertise spans AI/ML platform architecture (reinforcement learning, generative AI, predictive analytics), cloud-native enterprise systems (AWS, Azure, microservices), telecommunications innovation (5G/MVNO architecture, BSS/OSS transformation, IoT ecosystems), and intelligent automation (Salesforce, Pega, real-time decisioning engines). Hemant specializes in integrating complex multi-vendor platforms-orchestrating disparate systems into unified AI-powered ecosystems that achieve 99.7% availability and sub-200ms response times at scale. Recognized internationally as a thought leader, he has published peer-reviewed research on AI-driven telecommunications transformation, serves as technical judge for CES Innovation Awards and Business Intelligence Awards, and holds Distinguished Fellow status with the Soft Computing Research Society. His proprietary DICE framework for data-integrated campaign engagement is being adopted as a reference architecture by global telecommunications operator. A Forbes Technical Council member and active mentor, Hemant advances the field through IEEE conference presentations, university speaking engagements, and ecosystem collaboration focused on AI innovation and next-generation platform modernization.

Title:AI as a Service Creation Engine: Monetizing Customer Intelligence in the Enterprise -  Abstract:AI is emerging as a powerful service creation engine that transforms enterprise customer intelligence into monetizable, productized offerings. Rather than limiting AI to analytics or operational efficiency, this perspective reframes data-driven customer experience (DCX) as a continuous innovation pipeline where behavioral, intent, and contextual signals are synthesized to generate new services, dynamic bundles, and personalized experiences in real time. By integrating predictive intelligence and generative AI within modular architectures, enterprises can shift from static product catalogs to adaptive service ecosystems that evolve with customer needs. Using a structured approach such as the DICE framework, organizations can operationalize this capability by converting insights into scalable, outcome-based service models, including intelligence-as-a-service and experience-as-a-service. This paradigm enables enterprises to move beyond traditional engagement strategies toward a future where AI directly drives revenue generation, accelerates service innovation, and creates competitive differentiation through intelligent, customer-centric value creation.