​Join us at Data Science Salon NYC for an exclusive experience focused on THE FUTURE OF APPLIED AI IN FINANCE AND BANKING— a day designed to connect you with the right people, without any surprises.

​Data Science Salon New York 2025 was so great – we will be back in NYC on December 11 to end the year with our #DSSNYC community. Join us for an exclusive experience designed to connect you with the people you’d like to meet, without any surprises. Data Science Salon 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.

​DSS 🗽 NYC | Event Schedule

​🔸 8:30 AM – 9:30 AM Registration Opens + Light Breakfast

​🔸 9:30 – 9:40 AM Welcome & Opening Remarks

​🔸 9:40 – 10:10 AM | Lovedeep Saini Chief Analytics Officer at Conner Strong & Buckelew

​Talk: Coming Soon

​🔸 10:10-10:40 AM | Sesh Seshadri, Chief Evangelist at Aerospike
Talk: Building High-Performance Data Infrastructure for Machine Learning, Generative, and Agentic AI

​🔸 10:40 – 11:00 AM | Bhavnish Walla, Senior Data Science Risk Manager at Amazon
Talk: Use of AI/ML in Anti Money Laundering in E-commerce

​🔸 11:00 - 11:20 AM | Henri Kasurinen, CEO & Co-Founder at Nomain
Talk: Mainframe modernisation with GenAI: Why Nomain chose the human-centered approach

​☕️ 11:20 - 11:40 AM Coffee Break

​🔸 11:40 - 12:00 PM | Matthew Glickman, Co-founder and CEO at Genesis Computing
Talk: The Hidden Cost of Data Work — and How Genesis Agents Eliminate It

​🔸 12:00 - 12:30 PM | Yash Mahendra, Data Science Manager at Valley Bank
Talk: Generative AI for Validating Unsupervised Segmentation in Banking: A Hybrid Semantic and Metric-Based Approach

​🔸 12:30 – 1:00 PM | Chris Latimer, Founder at Vectorize.io
Talk: Context Engineering for Smarter AI Agents

​🔸 1:00 - 1:20 PM | Rashi Garg, Product Manager, Fixed Income Pricing and Andrey Pakhomov, Executive Director - Product Development at S&P Global.

​Talk: Coming Soon.

​🥗 1:20 PM – 2:20 PM Lunch Break

​🔸 2:20 - 2:40 PM | Aeshna Kapoor Lead Data Scientist at Cognizant
Talk: Fraud Analytics with AI/ML: Building Adaptive, Scalable Defense Frameworks for Compliance

​🔸 2:40 - 3:20 PM | Panel: Responsible Intelligence: Balancing Innovation, Compliance, and Risk in Financial AI

​Moderated by: Moody Hadi, Head of Credit Analytics, New Product Development at S&P Global

• ​Charles Zhou, Vice President, Data Science at BlackRock

• ​Akhil Khunger VP, Quantitative Analytics at Barclays

• ​Harry Mendell, Data Architect, AI Group at Federal Reserve Bank, NY

• ​Nemo Dighe, Associate Director, Business Intelligence at group 1001

• ​Robert Bagley Director, AI Governance at Perficient

​🔸 3:20 - 3:50 PM | Raghava Chellu, Software Engineering Specialist at Equifax Inc.
Talk: AI-Powered Innovation in Secure Data Exchange

​☕️ 3:50 - 4:10 PM Coffee Break

​🔸 4:10 - 4:40 PM | Kaushik Holla, Senior Data Scientist at Red Ventures
Talk: Automated Evaluation with an LLM-as-a-Judge for Business Impact

​🔸 4:40 - 5:10 PM | Jwalin Thaker, Sr Data Scientist at SageSure
Talk: Harnessing AI and ML to revolutionize Insurance pricing models with catastrophe models

​🔸 5:10 - 5:30 PM | Kaushik Ghosh, Staff Software Engineer at Intuit
Talk: Breaking the Bottleneck: Scaling GenAI Security from Weeks to Hours

​🔸 5:30 - 5:35 PM Closing Remarks

​🥂 5:35 - 8:00 PM Networking Reception

​Expect to walk away with tactical insights from those leading AI transformation within their organizations.

​Sponsors

​​Aerospike

​​Aerospike is the database built for infinite scale, speed, and sustainability. Our mission is to unleash the power of the world’s real time data and we’re ready for what’s next.

​​Join us for a hands-on, two-part technical workshop series where we’ll dive into real-world implementations of graph-based fraud detection and real-time recommendation systems—all powered by the Aerospike Real-Time Data Platform. Apply to attend.

​​Genesis

​​Genesis is the leader in Enterprise-Ready AI Data Agents, a new class of agents built to automate data workflows using your existing tech stack. From day one, agents come ready with advanced skills and tools to securely automate data workflows so you can focus on high-value impact. Under the hood, Genesis is an Agentic AI Data Platform, a system that operationalizes AI through agents that act with context, autonomy and business logic.

​Nomain

​Nomain is a startup focused on reclaiming lost system knowledge in legacy mainframe environments. According to Forrester, mainframe developers spend just 16% of their time coding—while the remaining 84% is dominated by code comprehension. Nomain solves this by using advanced GenAI methods to automatically extract, reconstruct, and present deep system insights from any mainframe codebase.

​Through a simple, powerful UI, Nomain equips developers, business analysts, and architects with on-demand system understanding—accelerating modernization efforts by up to 300% and unlocking further efficiency gains across processes. Whether an organization is migrating to the cloud or modernizing on the mainframe, Nomain’s knowledge platform supports every strategy by dramatically reducing the time spent on code comprehension and enabling true velocity in mainframe transformation. Learn more at www.nomain.com.

​Perficient

​Perficient is a global AI-first consultancy that empowers organizations to unlock growth, efficiency, and innovation through intelligent technology and strategic execution. As a trusted partner to Fortune 1000 companies, Perficient delivers end-to-end digital solutions that span industries including healthcare, financial services, automotive, manufacturing, and energy. The firm is a recognized partner of top hyperscalers, cloud infrastructure vendors, enterprise platform providers, and data and AI platform providers like Microsoft, Salesforce, Databricks, Adobe, and Writer with a global team of skilled consultants to support clients through every phase of digital innovation. With an AI-first mindset and deep commitment to responsible AI adoption, Perficient helps clients build fearless strategies and scale responsibly, turning bold ideas into measurable business outcomes. Headquartered in the United States, Perficient operates across North America, Latin America, Europe, and India.

​S&P Global

​S&P Global (NYSE: SPGI) provides essential intelligence. We enable governments, businesses and individuals with the right data, expertise and connected technology so that they can make decisions with conviction. From helping our customers assess new investments to guiding them through ESG and energy transition across supply chains, we unlock new opportunities, solve challenges and accelerate progress for the world.

​We are widely sought after by many of the world’s leading organizations to provide credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help the world’s leading organizations plan for tomorrow, today. For more information, visit www.spglobal.com.

​​Vectorize

​​The agentic AI data platform for building intelligent applications.

​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. 

​Use discount DSSNYCLUMA (save 20%)

​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.