Data Science Salon SF Launches on Nov 29, Bringing Together Top Leaders in AI and ML

Data Science Salon SF Launches on Nov 29, Bringing Together Top Leaders in AI and ML

Data Science Salon (DSS), known for its diverse data science and machine learning community, is pleased to announce the launch of its San Francisco event on November 29, 2023. This one-day conference will take place at Dogpatch Studios and will gather 250 professionals including executives, data science practitioners, managers, analysts, and engineering professionals.

Data Science Salon SF will showcase a curated selection of technical sessions, with a particular focus on the applications of Generative AI and Machine Learning in enterprise environments. The event will feature talks, panels, and ample networking opportunities in an intimate and casual setting. Attendees can expect to gain valuable insights and information, as well as engage in discussions about use cases and innovations in AI and ML, presented by leaders from top companies such as Zoom, Salesforce, Meta, Autodesk, Thumbtack, and Square, among others.

The upcoming Data Science Salon SF, scheduled for November 29th, promises to be a hub of innovation and forward-thinking in the field of data science and AI. One of the key highlights will be a session on Predictive Insights, specifically focusing on the sophisticated techniques of churn prediction to manage renewal risks. This segment aims to provide businesses with invaluable strategies for enhancing customer retention.

In the healthcare sector, the conference will showcase the transformative impact of Generative AI and Machine Learning. Sessions will offer a glimpse into the future of patient care and medical advancements, highlighting the power of AI in enhancing healthcare services. Additionally, there will be insightful discussions on low-latency model inference, a critical element for the rapidly evolving financial markets.

Data Science Salon SF will also explore the world of Large Language Models (LLMs) and their application in building next-generation recommender systems. This innovation has the potential to revolutionize customer interaction, and experts will delve into the topic during the conference. Furthermore, the event will address the cultivation of an experimentation culture within machine learning teams, overcoming the challenges of A/B testing, and the role of gen-AI chatbots in real-time agent support. A special session on the synergy between LLMs and Stable Diffusion techniques will open up new possibilities in creating innovative generative recommendation systems.

Anshuman Guha, Staff Machine Learning Engineer at Freshworks, expressed excitement and honor to be speaking at the conference about the use of Gen-AI chatbots in customer service. Guha believes that unveiling the potential of AI-powered real-time quality control to boost customer satisfaction and operational efficiency is a topic worth addressing.

In conjunction with the event, DSS is proud to announce Roger Magoulas as the official Content Chair. Magoulas, renowned for his expertise in data and analytics, will play a crucial role in shaping the content strategy for the Data Science Salon community. As the Content Chair, Magoulas will ensure the delivery of top-notch, cutting-edge content for the community.

Data Science Salon SF aims to provide a convergence of thought leadership, practical innovation, and strategic foresight in data science and AI. Professionals passionate about shaping the future can secure their spot at the event by visiting the official website.

About Data Science Salon:
Since 2016, Data Science Salon (DSS) has cultivated a diverse community for data science professionals. With a commitment to eliminating bias in recruitment and algorithms, DSS fosters knowledge-sharing and best practices through face-to-face and virtual events, webinars, podcasts, meetups, and training sessions. DSS is dedicated to shaping a more inclusive and unbiased future in the field of data science.