Ved Upadhyay
Senior Data Scientist
Walmart Global Tech
Ved Upadhyay is a seasoned professional in the realm of data science and artificial intelligence (AI). With a focus on addressing complex challenges in data science on an enterprise scale, he boasts over 7 years of hands-on experience in crafting AI-powered solutions for businesses. Ved’s expertise spans diverse industries, including retail, e-commerce, pharmaceuticals, agrotech, and socio-tech, where he has successfully productized multiple machine learning pipelines. Currently serving as a Senior Data Scientist at Walmart, Ved spearheads multiple data science initiatives centered around customer propensity and responsible AI solutions at enterprise scale. Prior to venturing into the industry, Ved earned his master’s degree in Data Science from the University of Illinois at Urbana-Champaign and contributed as a Deep Learning researcher at IIIT Hyderabad. His research contributions are reflected in multiple publications in the field of applied AI.
Namratha Sathish
Data Scientist
CVS Health
Namratha Sathish is a data scientist currently employed at CVS Health, a Fortune 500 company, and a leading provider of comprehensive health solutions. CVS Health is renowned for its pioneering contributions to pharmacy services, health plans, and holistic wellness programs. Namratha has a track record in implementing data-driven solutions across diverse domains including e-commerce, agriculture, technology, and most notably, the healthcare industry. With over three years of experience, she has demonstrated proficiency in developing and deploying advanced machine-learning models and algorithms. As a seasoned speaker, she is well-versed in sharing valuable insights and expertise at prestigious conferences.
Zoran Krunic
Principal Product Manager
Amgen
Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.
Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.
In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.
A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.
With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.
This talk offers a deep dive into data privacy in language model (LM) applications, spotlighting the use of opaque prompts as a key strategy for safeguarding sensitive information. We explore how opaque prompts effectively sanitize user inputs by substituting sensitive data with non-identifiable placeholders, thereby preventing LMs from accessing personally identifiable information (PII). The discussion extends to the intricacies of implementing these prompts, highlighting the technical challenges in reliably masking PII and the need for customizable identification mechanisms. The talk also addresses the privacy concerns in LM training data, focusing on the challenges in anonymizing datasets and the implications for model accuracy and utility. This session aims to provide insights into advancing data protection methodologies within the realm of language models.
Technologist Deep-Dive (Gen AI & Data Science) Track
Search Optimization
LLM Modification
Prompt Engineering
MLOps
Data Optimization
Zairah Mustahsan
Senior Data Scientist
You.com
Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.
In today's dynamic financial landscape, the ability to leverage cutting-edge technologies is paramount for banks seeking to thrive and excel. This presentation delves into the transformative potential of artificial intelligence (AI) and provides a comprehensive roadmap to harness its power to revolutionize banking operations and customer experiences:
- Discover the essential considerations for responsibly building classical AI and Generative AI models in the financial sector
- Uncover the common pitfalls to avoid, preventing project failures and ensuring successful AI implementation
- Understand the prerequisites for crafting an AI strategy tailored to multi organization and company's unique needs
- Learn how to craft a step-by-step AI Strategy for transforming banking operations and customer experiences
- Reap the transformative power of AI capabilities and position cross-functional organizations for success in an evolving financial landscape.
Application & Gen AI Integration (Business Leaders) Track
Business Leader
AI Implementation
C-Suite
Finance
Banking
BFSI
Pratik Gautam
Lead Product Manager and VP
Citigroup
Pratik is a lead Product Manager and VP at Citigroup. He is an accomplished product leader with 15 years of experience in digital, advanced analytics, automation, and artificial intelligence, with a series of successes in innovation transformations. He has diverse experience in AI within the customer support domain, including call record indexing, document management, RPA automation, and chatbots for global banks such as JPMorgan Chase and Citigroup. Pratik has also applied AI technology such as computer vision, NLP, and OCR for middle and back-office functions and is currently exploring LLM innovations with prompt engineering, AI workflows, and chatbots, leveraging the latest generative AI-based innovations for Citigroup.
Kelly Springmann
Provider Enablement & Product Development
Florida Blue
Jenny Raulerson, BSN, MSHI
Sr Clinical Consultant
Florida Blue