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
Senior Software Engineer

Deeksha Mishra
Data Science Manager


Prithvi Shivashankar
Product Manager, Data

Jagbir Kaur
Global Product Manager - Strategy & Operations


Laura Gabrysiak
VP of AI & Data Strategy

Cheriene Floyd
Chief Data Officer


Flaviane Peccin
Director of AI and ML


Raimundo Rodulfo
Director, Innovation and Technology


Srini Srinivasan
Founder and CTO


Mrunal Gangrade
VP Data and Gen AI

Nitin Kumar
Director Data Science, GenAI

Vipin Kataria
Lead Architect


Jay Kachhadia
Data Science Manager
TOPICS INCLUDE
Personalization at Scale with AI
Cloud Automation and ML
Recommendation Engines
Designing ML pipelines efficiently
Natural Language Processing & Deep Learning
Deep Neural Networks
Image Recognition with ML
Using large scale data sets
Scaling ML Production
Data Science Teams: Managing, Building, Collaboration
Integrating Open Source Tools into your workflows
Improving Data Quality
Machine learning best practices
Data Security
ALD MIA Speaker Alumni
Noelle Russell
Chief AI Officer at AI Leadership Institute
Douglas Pestana
AI Leader & Co-Founder at LegalMente AI
Sol Rashidi
World’s 1st enterprise Chief AI Officer
Alberto Cairo
Visualization designer, teacher, professor, and consultant
Catalina Arango
Data and AI Product Strategy at blackstone
David Whitney
Senior Data Science Manager, Analytics & Artificial Intelligence at Royal Caribbean Group
Man Chon (Kevin) U
As SVP & CIO, Global Head of Enterprise Data & AI at Fidelity Investments
David Talby
Chief Executive Officer at John Snow Labs
Watch Past Sessions
About ALD Miami
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
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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