25 July 2025
583 Park Avenue, New York

MachineCon 2025 Agenda
Discover Inspiring Sessions, Expert Insights, and Engaging Discussions on the Future of Data & AI

We are in the process of finalizing agenda for 2025. Visionaries, and pioneers in the field converge to exchange ideas, insights, and inspiration, fostering collaboration and fueling the next wave of AI-driven growth in USA.

  • MachineCon 2025

    Jul 25, 2025

  • Explore the transformative impact of Agentic AI on the enterprise, moving beyond basic automation to strategic outcomes. Delve into how these autonomous agents, capable of planning, reasoning, and acting independently, drive revenue acceleration, deepen customer intimacy, higher efficiency and foster adaptive innovation. From understanding definitional nuances to tackling design, architecture, and risk challenges, and examine real-world use cases and the critical role of CIOs/CTOs. Describe a path for businesses to strategically deploy Agentic AI, leveraging its compounding effects while ensuring responsible, human-in-the-loop governance for exponential value.

  • AI has revolutionized business processes, yet many organizations remain stuck with siloed, short-lived wins that fail to scale. In this keynote, MathCo introduces Systemic AI, a transformative shift from experimental success to agentic intelligence that is embedded holistically across systems, teams, and workflows. By integrating deeply with operational platforms and aligning with organizational context and goals, Systemic AI empowers enterprises to achieve true, enterprise-wide transformation. Discover how systemic AI architecture can unlock smarter, faster, and more resilient operations, finally turning AI’s long-promised potential into a sustainable reality for enterprises.

  • Enterprises are rapidly adopting sophisticated AI agents for advanced reasoning and automation, but this evolution introduces exponential complexity that traditional APM tools cannot handle. Agentic applications require purpose-built observability that provides hierarchical visibility from application health down to individual spans, cross-agent ecosystem tracking, and unified metrics aggregation to deliver complete traceability and interpretability. The Fiddler AI Observability and Security platform provides these capabilities, enabling enterprises to confidently deploy agentic AI systems across their organization while maintaining robust oversight. In this presentation, we will showcase how Fiddler enables enterprises to build and maintain high-performing agentic systems from development through production by revealing how agent decisions cascade through applications and their impact on enterprise performance.

  • Early deployments often shave costs but rarely shift the P and L in a big way. This session uncovers hard lessons and practical playbooks for turning scattered pilots into profit engines that matter to the board.

  • Future-focused technology leaders are already embedding agentic AI into organizational DNA to unlock value from machine-led workflows, new business models, and enhanced efficiencies. This session explores what it means to be an AI-first company, the core pillars of transformation and architecture that enable it, and the governance and organizational shifts needed to make it work in practice. Packed with actionable insights and real-world case studies, the audience will leave with clear benchmarks, a reference architecture, and a strategic five-step plan.

  • A home-grown stack offers tailored control yet demands scarce talent and long timelines, while vendors promise instant scale but risk lock-in and limited flexibility. Leaders debate which path reaches real-time insight fastest.

  • A single command hub can standardize tooling and safeguard quality but may slow decisions, whereas federated squads drive domain intimacy and rapid experimentation at the cost of duplicated effort. Panelists explore hybrid playbooks that promise both control and speed.


Where the US C-suite sets the 2025 AI playbook
MachineCon USA 2025 Agenda
On 25 July at 583 Park Avenue in New York, more than one hundred Chief Data, Analytics and AI officers gather for a single day of unscripted discussion and rapid-fire insight. The agenda moves from scaling GenAI beyond pilots to hard-dollar ROI, from platform build-versus-buy calls to the talent equations that keep innovation alive. Panel debates, executive roundtables and networking breaks are sequenced to give you actionable tactics—not slideware—so you leave with contacts, benchmarks and next-quarter moves that translate data strategy into business advantage.

An invite only Conference for Senior Data Executives

Inviting 100 of 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.