AI LOVES DATA NYC
THE FUTURE OF APPLIED AI IN Finance and Banking
New York | May 13, 2026
Sponsored by
Data Science Salon which is now AI Loves Data New York is an annual one-day conference, limited to vetted attendees, focused on using artificial intelligence, data science and machine learning in finance, banking and insurance. This intimate event, a mix of TedEx, Foo Camp and Summit, curates sessions to bring senior managers, C-suite executives, and the most talented local AI/ML researchers face-to-face, fostering education and collaboration on innovative solutions in AI, machine learning, data science, predictive analytics, and best practices. Expect to walk away with actionable insights from those working on the frontlines of AI and machine learning in finance, insurance and technology.
ALD NYC 2026
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Confiremed Speakers
Moody Hadi
Head of Credit Analytics, New Product Development
Harry Mendell
Data Architect, AI Group
Nemo Dighe
Associate Director, Business Intelligence
Akhil Khunger
VP, Quantitative Analytics
Yu Yu
Director of Data Science
Jyothish Sreedharan
Vice President
Arun Maheshwari
Executive Director-Head of Model Risk control,Legal and Compliance
Santosh Durgam
Manager Of Software Engineering
Deep Patel
Senior Data Engineer
Tharakesavulu Vangalapat
Sr. Principal Data Scientist & AI Architect
Mukesh Reddy Dhanagari
Manager, Software Development & Engineering
Pavan Kumar Gondhi
Sr Vice President
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
Arkin Gupta
VP at Morgan Stanley
Yu Yu
Director of Data Science at BlackRock
Iro Tasitsiomi
Head of Investments Data Science at T. Rowe Price
Moody Hadi
Head of Credit Analytics New Product Development at S&P Global
Sassoon Kosian
Corporate Vice President, Data Science at New York Life Insurance Company
Jayeeta Putatunda
Senior Data Scientist at Fitch Ratings
Chong Dang
Lead Machine Learning Engineer at Freddie Mac
Elena Ferri
Data Science and Advanced Analytics Lead at Federal Reserve Bank of New York
About ALD New York
Watch Past Sessions
WHY ATTEND THE ALD NYC EXPERIENCE?
- Connect with Leaders Shaping Enterprise AI
Meet and network with senior data scientists, engineering leads, product strategists, and C-suite executives from top financial institutions, tech companies, and AI-first startups. ALD NYC 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
S&P Global Market Intelligence, 55 Water St, New York, NY 10041
Purchase a Pass to ALD NYC 2025
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.
In partnership with
What People Are Saying
“ALD NYC was the perfect platform to share how LAMs are reshaping enterprise AI. The audience was sharp, engaged, and ready to push the boundaries of innovation.”
“What always stands out at ALD was the depth of conversation. It not just theory—it's always practical, honest, and incredibly energizing.”
“ALD is one of the few events where deep technical content meets real business impact. The risk modeling conversations were timely and relevant to every finance leader in the room.”
“ALD brought together people who truly care about making data work better. It was refreshing to share lessons in data stewardship with such a collaborative and inclusive group.”
“ALD is one of the few events where technical leaders and business stakeholders speak the same language. It’s where alignment happens.”
“Their conferences are smaller, more intimate, with lots of opportunities for workshops and networking, which helps fill that need in the data science community to get together from time to time.”
"There’s something special about the ALD Miami community—global reach with a local vibe. You’re among people who actually get it."
"Where else can you hear about GenAI, LLM risk modeling, and production pipelines—all in one day? ALD curates what’s next."
"I left ALD with 3 new frameworks we could apply that week. That kind of ROI is rare for a one-day event."
“ALD strikes the perfect balance between technical depth and strategic thinking. It’s the kind of event that levels up your entire approach.”
“I’ve spoken at many conferences, but ALD stands out because the audience is dialed in and genuinely engaged in the topics.”
"Conferences are dice-rolls and I felt so lucky. That was top notch content. The career path I chose is a bit lonely, because if you run an AI/ML COE, then you are the only person doing that at your company. That makes me appreciate the community you are building at ALD all the more!"
Ways to get involved
Join the ALD Slack Community
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