Data Science Salon Webinar Series

The Data Science Salon Webinar series is built for doers—not theorists.

If you’re building, deploying, or scaling AI in the enterprise, this is your signal channel. We cut through the noise with sessions that focus on practical execution: what’s working, what’s failing, and what’s next.

You’ll hear directly from operators, researchers, and technologists leading AI and ML transformation inside real companies. Whether you’re a technical leader looking to sharpen your edge, or a vendor aiming to reach decision-makers with real buying power—this is where meaningful conversations happen.

Because in this space, execution beats hype. Every time.

Last DSS webinar

RECORDED ON:  October 22, 2025 @ 2pm ET

How teams at Wayfair, PayPal, and Myntra are delivering personalized, AI‑driven customer experiences in real time

The Aerospike Real-Time Data Platform enables organizations to seamlessly combine large-scale customer profile data and historical data with AI/ML models to predict customer needs and behaviors…. Read More →

Sesh Seshadri

the Chief Evangelist
at Aerospike

Upcoming webinars

WATCH LIVE:  February 25, 2026 @ 2pm ET

The True Patient Record: Integrating Multimodal Data for Complete and Accurate Clinical Measures

Clinical risk scores and quality measures often attempt to rely solely on structured EHR data, yet the quality of this data is severely lacking. Evidence shows that almost 40% of important diagnoses are mentioned only in free text notes, and structured records often capture only a fraction of critical… Read More →

Aleksei Zakharov

Data Scientist
John Snow Labs

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WATCH LIVE:  March 4, 2026 @ 2pm ET

Scaling Vendor Due Diligence: Automating AI Risk Assessment from Policy to Contract

Evaluating third-party AI systems requires rigorous, standardized questionnaires to generate consistent risk scores. However, the process of mapping these questions to a vendor’s broad, scattered, or sometimes non-existent documentation is a massive manual bottleneck… Read More →

Julio Bonnis

Principal Data Scientist,
John Snow Labs

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Interested in putting your brand in front of the most diverse data science community in the space?

Healthcare

Discover how leading healthcare and life sciences orgs are using AI to build smarter systems and improve patient outcomes.

Building Patient Journeys from Multi-Modal Healthcare Data Using Medical Language Models

How do you turn fragmented healthcare data into a meaningful story? This webinar explores how LLMs are being used to integrate structured and unstructured data—from EHRs to clinical notes—to model full patient journeys. With insights from Databricks and John Snow Labs, this session demonstrates how modern AI pipelines are improving outcomes and enabling precision care.

Next-Gen Table Extraction from Visual Documents: Leveraging Multimodal AI

New State-of-the-art Accuracy for the 3 Primary Uses of Healthcare Language Models

Integrating Multi-Modal, Reasoning, and Conversational Medical LLMs to Understand Complex Patient Stories

Raise your profile and establish thought leadership for your business

Finance

Explore the role of synthetic data, advanced analytics, and generative AI in transforming modern financial institutions.

The Power of Synthetic Data in Modern Enterprises

In highly regulated industries like finance, data access often limits innovation. This panel dives into how synthetic data is enabling secure experimentation and model development at scale. Hear from leaders at Deutsche Bank, Gretel AI, and LinkedIn about emerging use cases, privacy breakthroughs, and how synthetic data is reshaping the landscape of enterprise AI.

Generative AI & LLM Models in the Banking Industry

Exploring Opportunities and Challenges: Topological Data Analysis in Financial Discovery

The Landscape of Risk Models in Equities

Advanced RAG For Text to SQL Applications

Applications of Generative AI in Finance

Applications of Generative AI in Finance

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Retail and Ecommerce

See how leading brands are turning AI into a competitive edge—from personalization to supply chain innovation.

Unifying Data and Models for Cross-domain Personalized Fashion Recommendations

How do you personalize fashion at scale? Stitch Fix shares how it built a cross-domain ML architecture to combine customer style profiles, item metadata, and real-time feedback. Learn how unifying models across domains—like styling, logistics, and customer engagement—drives a seamless, data-informed retail experience.

Transforming Retail Inventory Challenges into Opportunities

Embedding Evaluation for eCommerce Based Search Engines (E2val)

AI-Driven Transformation in Retail & E-Commerce: From Data to Decisions

Interested in putting your brand in front of the most diverse data science community in the space?

General Tech

From infrastructure to orchestration, this section explores 
the backbone of scalable AI.

Oracle Logo

Designing Custom ML Pipelines with AWS SageMaker

Whether you’re a startup or enterprise, building production-grade ML pipelines requires flexibility, automation, and scale. This session shows how AWS SageMaker enables custom end-to-end workflows—covering model training, deployment, versioning, and monitoring. Get a firsthand look at the tools, templates, and best practices that drive successful MLOps in the cloud.

Data Mesh: From Concept to Reality

Building Computer Vision Models 10x Faster with High-quality Data

The Rising Demand for Vector Databases in the Age of ChatGPT

Using Semantics in your Data Ecosystem

Enhancing Recommendation Systems with LLM-Generated Aspect Augmentations

Looking for more?

If you want to stay up to date with data science development, you can attend our virtual and face-to-face data science events or listen to our Data Science Podcast.

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