Senior finance and banking leaders will convene with cutting-edge AI/ML researchers to explore the latest advances in predictive analytics and intelligent automation across the financial services industry.
Data Science Salon New York | Register for December 11, 2025! ## AI LOVES DATA NYC # THE FUTURE OF APPLIED AI IN Finance and Banking ## New York | May 13, 2026 GRAB YOUR EARLY BIRD PASS 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 Day(s) : Hour(s) : Minute(s) : Second(s) ## Confiremed Speakers #### Moody Hadi Head of AI Strategy and Execution, Enterprise Data Organization #### Harry Mendell Data Architect, AI Group #### Nemo Dighe Associate Director, Business Intelligence #### Akhil Khunger VP, Quantitative Analytics #### Jyothish Sreedharan Vice President #### Santosh Durgam Manager Of Software Engineering #### Deep Patel Senior Data Engineer #### Tharakesavulu Vangalapat Sr. Principal Data Scientist & AI Architect #### Pavan Kumar Gondhi Sr Vice President #### Sanjay Mishra Principal Software Engineer #### Anna Jibgashvili Corporate Vice President, Data Product Manager (AI & Data) #### Kaushal Lahankar Director of AI & Engineering #### Keisuke Inoue Senior AI/ML Engineer #### Nidhi Mahajan Former Director of Product Management #### Shalini Sivasamy Senior AI Engineer #### Mukesh Reddy Dhanagari Manager, Software Development & Engineering ## 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 AI Loves Data New York is a one-day, invite-only 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. Apply to attend and join us to gain actionable insights from those at the forefront of machine learning in the enterprise. ## Watch Past Sessions ## WHY ATTEND THE ALD NYC EXPERIENCE? - Connect with Leaders Shaping Enterprise AIMeet 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 SessionsGo beyond surface-level content. Expl
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