Debasmita Das
Mastercard
Manager, AI Research & Cyber Intelligence
Debasmita Das
Mastercard
Manager, AI Research & Cyber Intelligence
Debasmita is a data scientist with a decade of experience in Finance and Artificial Intelligence, specializing in fraud detection, Anti-Money Laundering, HR Analytics, Credit Card & Mortgage Risk. She leads a data science team in Mastercard and dedicated to developing AI-driven solutions in the financial crime domain, has an impressive portfolio of patents and has […]
Upcoming Abstract Summary
Beyond Rules: The Intersection of AI and Compliance
This session conducts a comprehensive examination of the evolving Anti-Money Laundering (AML) landscape, focusing on the role of Artificial Intelligence (AI) in combating financial crimes. Emphasizing the advantages of AI integration in AML processes, the discussion will revolve around improved accuracy, heightened efficiency, continuous learning capabilities, cost-effectiveness, and an enhanced customer experience. However, critical considerations […]
Arun Krishnaswamy
Mool AI
CEO
Arun Krishnaswamy
Mool AI
CEO
▪ 24+ years of experience with large datasets, statistical methods, machine learning, and software systems. ▪ Seasoned AI Executive responsible for deploying more than 200+ models in production generating ROI. ▪ Manage mid and large-size engineering & and data science teams working on BIG DATA infrastructure. ▪ Expertise in building multiple Lakehouse (petabytes) to support […]
Upcoming Abstract Summary
Building Domain Specific Foundational Models – No I’m not talking about LLM’s
Foundational Models are very exciting. At one end we have the LLM’s – the most popular type of foundational models. LLM’s are great but it is very hard to fine tune to enterprise use cases and enterprise data. The solution for enterprise is to build domain-specific foundational models instead of getting fixated on LLM’s and […]
Sumedha Rai
Center for Data Science, New York University | Acorns Grow
Senior Data Scientist
Sumedha Rai
Center for Data Science, New York University | Acorns Grow
Senior Data Scientist
Sumedha is a Senior Data Scientist and AI researcher based out of New York with extensive experience in both academia and industry. She is currently working with a micro-investments firm where she leads the Natural Language Processing efforts and a suite of anti-fraud solutions. She’s a graduate from the New York University (NYU) where she studied […]
Upcoming Abstract Summary
Natural Language Processing: The Power of Text in FinTech
In today’s dynamic fintech landscape, staying ahead of the curve is paramount. Natural Language Processing (NLP) and AI have emerged as pivotal tools for understanding and engaging customers in profound ways. These technologies empower fintech firms to unlock untapped value from their text data assets, thereby enhancing competitiveness and customer satisfaction. Join me in this […]
Jeremy Wilken
NVIDIA
Futurist, Sr. Engineering Manager
Jeremy Wilken
NVIDIA
Futurist, Sr. Engineering Manager
Jeremy Wilken is an academically trained futurist and seasoned engineering leader focusing on how to shape positive futures with technology. He holds an MS Foresight from the accredited University of Houston program. He has authored two books, spoken globally at events, run podcasts, and is recognized by Google as a Developer Expert. He lives with […]
Upcoming Abstract Summary
Forces Shaping AI You Might Not Realize
Learn about many of the drivers changing the landscape of AI, from an academically trained futurist and engineering leader. We all want to know what comes next, and we can learn a lot from looking across the broader world about the possibilities. I’ll share details from my research into these forces, including some unexpected ones. […]
Facundo Santiago
Microsoft
Senior Product Manager @ Azure AI
Facundo Santiago
Microsoft
Senior Product Manager @ Azure AI
MSc. Facundo Santiago is a Senior Product Manager in Azure AI. He has more than 10 years designing, implementing, and developing intelligent systems based on machine learning techniques. He currently works in the Models + Inference group, responsible of evolving the Azure AI inference platform used for running cutting edge large models. He is also […]
Upcoming Abstract Summary
Emerging Cognitive Architectures for (Language) Agents
We typically consider an agent as an LLM that has access to tools, knows how to use them, and can decide when to do so depending on the inputs, the intermediate outputs, and context information. Instead of the sequence of actions being coded, they decide which actions to do next. However, the idea of using […]
Mikaela Pisani
Rootstrap
Head of Data Science
Mikaela Pisani
Rootstrap
Head of Data Science
Mikaela Pisani is a computer engineer with a Master’s in Data Science. She is currently the head of machine learning at Rootstrap. This award-winning custom software development agency has built web and mobile apps for startups, publicly traded companies and public figures. Mikaela is also on the AI Research team at ORT University in Montevideo, […]
Upcoming Abstract Summary
Why Women Need to be Involved in Data Science to Prevent Bias in Algorithms
I often get asked why algorithms are biased and it’s a highly relevant question. Machine learning algorithms learn from data, so, if data is biased then there is a strong chance that the algorithms from which it is derived are too. In addition, algorithms are created by humans, and if said humans composing the data […]
Sanket Gupta
Spotify
Senior Machine Learning Engineer
Sanket Gupta
Spotify
Senior Machine Learning Engineer
Sanket works as a Senior Machine Learning Engineer at Spotify working on building end-to-end audio recommender systems. Models built by his team are used across Spotify in many different products including Discover Weekly and Autoplay.
Upcoming Abstract Summary
Foundational Embeddings to Enable Large-scale Transfer Learning in Recommender Systems
Background: Recommender systems pervade our everyday lives from social networks to media to content streaming apps. While we like being recommended just the right item, the number of items in the catalogs have increased manifold. This presents a unique opportunity for the AI systems to get better at retrieval as well as ranking tasks. While […]
Andrea Brennen
IQT Labs
Senior Vice President
Andrea Brennen
IQT Labs
Senior Vice President
Andrea is a Senior Vice President at IQT, a global investment platform that fosters emerging technologies with applications to national security. She works with partners across the US Intelligence Community to understand critical technology gaps and source innovative solutions from venture-backed start-up companies. With a background in advanced analytics, data visualization, and human-centered design, Andrea […]
Upcoming Abstract Summary
Don’t Be Blind to Model Blindspots and Other Lessons on AI Red-Teaming
In 2023, discussions of Ethics in Machine Learning went mainstream. “Responsible AI” became one of the hottest buzzwords in tech and debates about how to rein in the risks of AI without quashing innovation led to a proliferation of AI Ethics, Governance and Risk Frameworks. There are substantial gaps, however, between ethical principles, the governance […]
Ankit Awasthi
Twilio
Senior Engineering Manager
Ankit Awasthi
Twilio
Senior Engineering Manager
At Twilio Segment, I lead teams working on CustomerAI to empower our customers with predictive and generative AI tools that revolutionize personalized customer engagement. Prior to Twilio, I worked on leveraging state-of-the-art ML developments for applications and solutions across marketing automation, asset management, and high-frequency trading.
Upcoming Abstract Summary
Customer Data Platform as the Personalization Engine for LLMs
This talk will focus on how a strong customer data foundation is key to unlocking innovation and empowering developers to leverage the power of LLMs and build applications across web personalization, self-service marketing and pre-sales, support, or agent assistance. The generative capabilities of LLMs combined with personalization via golden user profiles can be a flywheel […]
Rongyao Huang
CB Insights
Lead Data Scientist
Rongyao Huang
CB Insights
Lead Data Scientist
I’m a data scientist bootstrapped from stats and social science training and an industry-honed engineer. Having worked across domains from anti-corruption research to digital advertising and finance, I specialize in end-to-end problem solving from ideation to deployment. I have spent the past four years absorbing the explosion of deep learning and NLP and leveraging them […]
Upcoming Abstract Summary
How to Befriend Generalist LLM’s – Lessons Learned Applying Generative AI to Build Better Data Products
Since the “attention” revolution, SOTA Large Language Models have grown 5000x bigger with unimagined capabilities and rapidly declining cost. The year 2023 saw the flourishing of commercial applications and the LLMops ecosystem; with enterprises rushing to ride the Gen AI tailwind. However, the “AI magic” that wowed ChatGPT users does not always easily translate into […]
Dr. Napoleon Paxton
AI Squared
VP of Federal Technology
Dr. Napoleon Paxton
AI Squared
VP of Federal Technology
Hi! My name is Napoleon Paxton and I am a senior level technologist with over 20 years of experience as a developer and leader of product development teams. I am a UC Berkeley MIDS alum (2022) and I hold a Ph.D. in Information Technology from The University of North Carolina at Charlotte with a focus […]
Upcoming Abstract Summary
Bridging the Last Mile Gap
ML model adoption has increased over the past few years, but in many organizations there is still a wide gap between model development and model use in a production environment. This is due in large part to the difficulties in establishing pipelines and integrating models with existing workflows and legacy applications. This gap becomes even […]
Andy Xu
Numenta
VP Engineering
Andy Xu
Numenta
VP Engineering
With over two decades of experience in AI, ML, and engineering, Andy is recognized for his ability to build and implement business-critical technology solutions that address real-world challenges at scale. Prior to joining Numenta, Andy was the Senior Director of Engineering for Latch, where he led the engineering team to build a robust, scalable, data-driven […]
Upcoming Abstract Summary
From Research to Production: Could a Neuroscience-based Approach to LLMs be the Key to Unlocking AI’s Full Potential?
With all the hype surrounding ChatGPT, most people are giddy with the promise of artificial intelligence (AI), yet they overlook its pitfalls, especially its energy consumption. A University of Massachusetts Amherst paper states that “training a single AI model can emit as much carbon as five cars in their lifetimes.” Yet, this analysis pertained to […]