Data Science Summit 2023

Weekly seminar series with guest speakers hosted by the Institute for Data Science.

NJIT Institute for Data Science

NJIT's Institute for Data Science  Data Science Summit 2023

101 Hudson St

The NJIT and Data Science community is invited to join the Institute for Data Science in an open summit with key industry professionals and NJIT research faculty with topics on Data Science and its implementation.

<h3>A﻿dditional Directions:</h3>Building Entry:All building visitors must check in with security and receive a temporary pass at the front desk. Once past security, walk to the middle elevator bank to access the 36th floor. Exit the elevator and see signs for NJIT@JerseyCity (Suite 3610).Public Transportation:101 Hudson St. is located across the street from Exchange Place station for the PATH and the Hudson-Bergen Light Rail. The PATH at Exchange Place is served by the Newark-World Trade Center and Hoboken-World Trade Center lines. The light rail at Exchange Place is serviced by two routes: the Tonnelle Avenue - West Side Avenue and the Hoboken Terminal - 8th Street service routes. The NY Waterway Paulus Hook Terminal is located at the end of Sussex St. at the Hudson River Waterway three blocks away (walking distance) from 101 Hudson St. There are three ferry routes from NYC: Pier 11/Wall St., Downtown/Brookfield Place, and Midtown/W. 39th St.Paid Parking: &quot;Little Man Parking&quot; <a href="https://littlemanparking.com/facilities/101-parking-garage/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">website</a>The entrance to the parking garage is on York Street. To access the parking garage continue along Hudson Street to York Street; turn right onto York Street or approach the parking garage by driving along Greene Street and taking a left onto York Street. Parking is available on Levels 2 - 5. Keep the parking ticket to pay for parking later and to be able to exit the parking deck. Once parked, see signs for the elevators to the lobby. Turn right from the elevators to walk down the corridor towards the main lobby and front desk.

Agenda

Welcome

As part of their training all medical students and residents have to pass basic surgical tasks such as knot tying and laparoscopic surgery. Their assessment is typically performed in the operating room by surgical faculty where mistakes and failure by the student increases the operation time and cost. This evaluation is quantitative and has a low margin of error. Simulation has emerged as a cost effective option but it lacks assessment or requires additional expensive hardware for evaluation. Apps that provide training videos on surgical training are available to students but none have evaluation and require manual oversight to determine pass fail. In this talk I will present vision based AI systems to automatically rate and give performative feedback on student performance in surgical knot tying and in fundamentals of laparoscopic surgery (FLS). We will first briefly review our work on surgical knot tying published recently in IEEE ICHI 2023. We will then look at our latest work on ev

AI for medical education and medical diagnosis

Supply chains are running the world we are living in, but yet very little has been done to dramatically improve them until Covid-19 shook our lives. Since then, billions of Dollars have been invested into start-up that aim to improve and fix supply chains but there is still a lot to do. Data and innovation based on data are the keys to tackle that. Dr. Erez Agmoni, the global head of innovation at Maersk will share how one of the largest ocean carrier and end-to-end integrated logistics is working on innovation and how you can be part of it.

The Role of Data & Innovation to Support Global Supply Chain

An expansive area of research focuses on discerning patterns of alterations in functional brain networks from the early stages of Alzheimer’s disease, even at the subjective cognitive decline (SCD) stage. Here, we developed a novel hyperbolic MEG brain network embedding framework for transforming high-dimensional complex MEG brain networks into lower-dimensional hyperbolic representations. Using this model, we computed hyperbolic embeddings of the MEG brain networks of two distinct participant groups: individuals with SCD and healthy controls. We demonstrated that these embeddings preserve both local and global geometric information, presenting reduced distortion compared to rival models, even when brain networks are mapped into low-dimensional spaces. In addition, our findings showed that the hyperbolic embeddings encompass unique SCDrelated information that improves the discriminatory power above and beyond that of connectivity features alone.

Hyperbolic graph embedding for MEG brain network analysis

Break

Sherry Marcus, Director of Titan Labs at AWS. Prior, she was a Managing Director and had of the Blackrock Artificial Intelligence (AI) Labs. Blackrock is one of the largest investment firms in the world with approximately $6.96 trillion in assets under management. Blackrock AI lab’s major objective is to develop and inject large-scale data analytics artifacts and methods in key strategic areas of the firm. Prior to Blackrock, Sherry Marcus was Chief Data Analytics Officer at Millennium Partners (MLP) where she led the development of integration of the AWS public cloud initiative that integrated and resolved position, reference, and ecommunication data sets in the delivery of next-gen analytic artifacts to the business. Prior to MLP, Sherry Marcus was Global Head of Big Data Analytics and created solutions that merged private banking, communication, and news data for client analytics, and developed solutions in support of prime services.

Advertising Analytics and Data Science

Large language models (LLMs) have shown impressive natural language processing capabilities, but raise concerns around reliability, fairness, and transparency. In this talk, I will present our recent research on developing more trustworthy LLMs that are robust, fair, and explainable. Through innovations in model training, evaluation, and interpretation, we aim to create LLMs that are dependable, unbiased, and interpretable when deployed. I will discuss our progress in overcoming key challenges in responsible LLM deployment.

Towards Trustworthy and Reliable Large Language Models

We live in an increasingly digitized world: 90% of the world population has a smartphone of some kind. Globally, people spend average 7 hours in front of a screen in 2023. How we cultivate human capabilities in this machine dominated world is more than just a philosophical question. The emerging consensus is that the ability to communicate complex and abstract ideas, and the ability to build culture to influence and regulate a large group/community are essential driver behind humanity’s accomplishments. In ADP, we build our products around the goal to enhance communication and culture building at work. We leverage new development in generative AI to transform employee experience in every part of their journey at work. Nudge engine is one of the core capabilities to bring yet new level of personalized insights and recommendations at the moment it matters. It combines the power of LLMs with HCM knowledge base extracted from documents, legacy code and curated by human experts.

Make HR systems Human: Reimaging employee experience with generative AI

Networking reception

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Data Science Summit 2023

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