DSS 🦩 MIA | THE FUTURE OF APPLIED AI IN THE ENTERPRISE
Join us at Data Science Salon 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.
Data Science Salon 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.
Download the DSS 🦩MIA City Guide our team put together for some helpful tips about our beautiful Magic City ✨
Event Schedule
🔸 8:00 AM – 9:30 AM Registration Opens + Light Breakfast
🔸 9:30 – 9:40 AM Welcome & Opening Remarks
🔸 9:40 – 10:10 AM
Keynote: Laura Gabrysiak, VP of AI & Data Strategy, Gennius xyz Session: Scaling Real-World AI in Tokenized Loyalty
🔸 10:10 – 10:40 AM Session: Making Applied AI Real: A Fireside Chat on Strategy, Risk & Scale in Finance
(Moderator) Anna Anisin, Founder at DSS, Laura Gabrysiak, VP AI and Data Strategy at gennius xyz abd Flavian Peccin, Director of AI and ML at VISA
🔸 10:40 - 11:00 AM Srini Srinivasan, Founder and Chief Development Officer at Aerospike
Session: Driving ROI with High-Performance Data Infrastructure for AI
🔸 11:00 - 11:30 AM Prithvi Shivashankar Product Manager, Data at HEB
Session: Building an Enterprise Data Strategy in the age of Gen AI
☕️ 11:30 AM – 11:50 AM Coffee Break
🔸 11:50 AM – 12:20 PM Sachin Telalwar, Senior Software Engineer at Zocdoc
Session: Revolutionizing Healthcare: How Distributed Systems Are Transforming Patient Care Delivery
🔸 12:20 PM – 12:50 PM Deeksha Mishra, Data Science Manager, Meta
Session: From Insight to Impact: Leveraging Data Science and Experimentation
🔸 12:50 PM – 1:20 PM Vipin Kataria, Lead Architect at Picarro
Session: Closing the Loop: 360° Proactive and Reactive Monitoring Through Self-Learning LLM Agents
🥗 1:20 PM – 2:20 PM Lunch Break
🔸 2:20 PM – 3:05 PM
Panel: From Hype to Impact: What It Really Takes to Operationalize AI in the Enterprise
Moderated by Rebecca Sharpe, Data Science and AI Innovation Strategist
Jagbir Kaur, Global Product Manager, Strategy & Ops, Google
Matthew Denesuk, SVP Data Analytics & AI, Royal Caribbean Group
Mrunal Gangrade, VP Data and Gen AI at JP Morgan Chase
Rodulfo Raimundo, City of Coral Gables
🔸 3:05 PM – 3:35 PM Rajesh Vayyala Principal Data Architect at FedEx
Session: DataOps for Data Science: Scaling Model Deployment in a Democratized Environment
🔸 3:35 PM – 4:05 PM Priya Devaraj, Software Engineer at American Express
Session: AI Lifecycle Accountability framework for Regulatory-Driven Financial Applications
☕️ 4:05 PM – 4:25 PM Coffee Break
🔸 4:25 – 4:45 PM Nitin Kumar, Director Data Science, GenAI at Marriott International
Session: AI Agents in Action: Building Smart Customer Support That Never Sleeps
🔸 4:45 – 5:05 PM Sushant Mehta, Research Lead, Google DeepMind Session: Building Effective Agents
🔸 5:05 – 5:25 Mrunal Gangrade, VP Data and Gen AI at JP Morgan Chase Session: Smarter Health: Applying AI Ethically in Clinical and Operational Decision-Making
🔸 5:25 - 5:30 PM Closing Remarks
🥂 5:30 PM – 7:30 PM Networking Reception
Expect to walk away with tactical insights from those leading AI transformation within their organizations.
About Data Science Salon
Data Science Salon is head quartered in Miami and is the leading provider of unique content and a diverse, vendor-neutral community for data scientists, machine learning engineers, and other subject matter experts. Since 2016, we have been driving knowledge sharing, best practices, and innovation in data science, machine learning and AI. With our extensive digital platform of content, webinars, training, and podcast, we cater to the evolving needs of our fast-growing and diverse community. Join us to access valuable resources, engage in insightful discussions, and be part of shaping the future of data science, machine learning and AI.
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