The AI-Ready Data Foundation: Unifying Data for Real-Time AI
As enterprises move toward AI at scale, many are confronting a shared challenge: fragmented data architectures that separate operational systems from analytical and AI platforms. This divide slows innovation, increases cost and risk, and prevents AI from operating on trusted,
real-time data.
To unlock the full potential of AI, organizations are rethinking how data is managed, governed, and accessed and an architectural imperative is emerging — one that unifies operational and analytical data so AI can
act with real-time context, enterprise-grade governance, and the flexibility required for modern workloads.
Join IBM and Blend for an executive community dinner exploring how leaders are building AI-ready data foundations. This discussion will examine how unified data platforms are reshaping modern data strategy, enabling real-time AI use cases, and helping executives align AI initiatives with long-term business value
Ankit Patel is a seasoned technology executive with over 20+ years of experience leading enterprise-scale digital transformation, specializing in GenAI and AI/ML innovation across Fortune 500 organizations including DataStax, BlackRock, Merrill Lynch, and IBM. As Global watsonx.data Tiger Team Leader at IBM and DataStax for over a decade, he drives strategic initiatives for cloud-native, GenAI-powered data platforms while serving as a trusted advisor to C-suite executives on AI transformation, TCO optimization, and ROI maximization. He excels at bridging cutting-edge GenAI technology with measurable business value, translating complex AI innovations into competitive advantages while leading cross-functional teams through enterprise modernization initiatives. With deep expertise in GenAI integration, cloud-native architecture, and digital transformation, Ankit brings a unique combination of technical depth and strategic advisory experience to executive engagements on AI leadership and enterprise innovation.
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