25 July 2025
583 Park Avenue, New York

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MachineCon is organized by AIM Research, the Leading Global Analyst Firm specializing in Artificial Intelligence.

The Biggest Exclusive Gathering of CDOs & Data Leaders In United States

Inviting USA’s top Analytics leaders to learn and do business

Data is at the forefront of all business transformation. The challenge is to use this data and transform it into customer insights by implementing algorithms and designing new business models.

The Machine conference is a platform to recognize those who know how to transform data into competitive advantage.

Put your brand in the room where AI decisions are made
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MachineCon connects you directly with 100+ CDOs and AI leaders shaping enterprise transformation.

2025 Conference VENUE

Join us at the historic 583 PARK AVENUE in New York City, Located on Park Avenue and 63rd Street.

Built in 1923 and designed by the renowned architectural firm of Delano & Aldrich, this exclusive venue is the perfect location to honor the exceptional achievements of the top minds in the AI and Data Science industry at the MachineCon.

MachineCon 2025 brings real-world insights, not buzzwords.
Conference Agenda: Conversations That Shape the Future

From scaling GenAI to redefining the CDO’s role and navigating AI regulation — explore the most urgent, unscripted discussions happening in the enterprise AI ecosystem.

GenAI Meets the Enterprise: Beyond the MVP Trap
Everyone’s building GenAI prototypes—but how many are scaling? This session explores how top enterprises are moving past flashy demos to create real, enterprise-grade deployments with measurable ROI.
The CDO Dilemma: Ownership, Outcomes, and Org Design
As data becomes everyone’s business, where does the Chief Data Officer really sit? A bold conversation on evolving mandates, power struggles with IT, and designing org structures that actually deliver value.
AI Regulation & Reality: Walking the Tightrope
From executive orders to global frameworks, AI policy is catching up fast. Hear from leaders navigating compliance, data sovereignty, and responsible AI—without slowing down innovation.