AI Loves Data MIA

THE FUTURE OF APPLIED AI
IN THE ENTERPRISE

MIAMI, FL | September 16, 2026

Join us at Data Science Salon which is now AI Loves Data Miami for an exclusive experience focused on THE FUTURE OF APPLIED AI IN THE ENTERPRISE — a day designed to connect you with the right people, without any surprises. AI Loves Data Miami is an annual one-day conference spotlighting how artificial intelligence and machine learning are applied across the enterprise. This curated gathering — part TedEx, part Summit — brings together senior managers, C-suite executives, founders, and top local AI/ML researchers for deep discussion and collaboration on real-world innovation in AI, ML, predictive analytics, and more. Expect to walk away with tactical insights from those leading AI transformation within their organizations.

ALD MIAMI 2026

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Speakers

Sachin Telalwar

Sachin Telalwar

Senior Software Engineer

Zocdoc

Deeksha Mishra

Deeksha Mishra

Data Science Manager

Meta

Prithvi Shivashankar

Prithvi Shivashankar

Product Manager, Data

HEB

Jagbir Kaur

Jagbir Kaur

Global Product Manager - Strategy & Operations

Google

Laura Gabrysiak

Laura Gabrysiak

VP of AI & Data Strategy

Gennius xyz

Cheriene Floyd

Cheriene Floyd

Chief Data Officer

City of Miami
Flaviane Peccin

Flaviane Peccin

Director of AI and ML

Visa

Raimundo Rodulfo

Raimundo Rodulfo

Director, Innovation and Technology

City of Coral Gables

Srini Srinivasan

Srini Srinivasan

Founder and CTO

Aerospike

Mrunal Gangrade

Mrunal Gangrade

VP Data and Gen AI

JPMorganChase

Nitin Kumar

Nitin Kumar

Director Data Science, GenAI

Marriott International

Vipin Kataria

Vipin Kataria

Lead Architect

Marriott International

Jay Kachhadia

Jay Kachhadia

Data Science Manager

Paramount+

TOPICS INCLUDE

ALD MIA Speaker Alumni

Watch Past Sessions

About ALD Miami

AI Loves Data Miami is a one-day experience for senior managers, C-suite executives, and top local AI/ML researchers. This exclusive event is all about networking and connecting you with the right people you want to meet. It features a curated mix of use-cases, technical talks, workshops, and Q&A sessions, designed to foster direct interaction and collaboration among industry leaders. Secure your spot now and join us to gain actionable insights from those at the forefront of machine learning in the enterprise.

WHY ATTEND THE ALD MIAMI EXPERIENCE?

  • Connect with Leaders Shaping Enterprise AI
    Meet and network with senior data scientists, engineering leads, product strategists, and C-suite executives from top enterprises,, tech companies, and AI-first startups. ALD MIA fosters an intentionally curated environment for high-quality, peer-level exchange.
  • Engage in Technical, Purpose-Driven Sessions
    Go beyond surface-level content. Explore real-world case studies, deep technical walkthroughs, and interactive Q&A sessions focused on deploying Generative AI, LLMOps, and intelligent agents in complex enterprise environments.
  • Learn from Enterprise Trailblazers
    Hear directly from those building and governing AI systems across industries like banking, fintech, healthcare, and cloud infrastructure. Discover how they’re solving real problems—from hallucination and latency to compliance and auditability.
  • Ask the Questions That Matter
    Get honest, detailed insights from the architects of real-world systems—not sales pitches. Our sessions are built to encourage dialogue, challenge assumptions, and support practical problem-solving.
  • Leave with Actionable Insights
    Walk away with proven strategies and technical takeaways—from agentic system design and retrieval architecture to cost-efficient scaling, evaluation frameworks, and cross-functional governance models.

top Attending companies

IBM logo

Venue

The LAB MIAMI, 2750 NW 3rd Ave #24, Miami, FL 33127

Purchase a Pass to ALD MIA 2026

Refund and Ticket Transfer Policy

Refunds are available up to 30 days prior to the start of the event.
Tickets may be transferred to another attendee up to 48 hours before the event.
No exceptions.

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