Using AI to Transform CPAP Compliance

Virtual Routing and Forwarding (VRF) provides traffic isolation at layer 3 for routing, similar to how you use VLANs to isolate traffic at layer 2. VRF is a fundamental feature for a network OS which has been around for nearly 2 decades, and yet only recently gained a formal implementation for the networking stack. Cumulus Networks played a large role in making this happen and is continually improving the functionality of Linux.

In this webinar, Dr. Atul Varshneya (Vice President - Artificial Intelligence, Tavant) and Ravi Peravali (Vice President - Media Practice, Tavant) delve deep into the subject of Advertising Attribution. The speakers share insights on some of the data-driven approaches to attribution modeling and how Artificial Intelligence and machine learning algorithms are transforming the advertising industry.

Companies across industries face new challenges connecting with empowered consumers. Customers have been completely altering their shopping habits in recent months like never before. With shops closed or limited entry, purchasing has shifted to online, loyalty has shifted by industry and brand, safety is paramount, and all of it varies by geography. Compounding the challenges, consumers expect more information that is tailored to them about what to buy and where the best deals are. In this webinar we take a look at how injecting machine learning into your existing business intelligence solutions and processes can fundamentally change how you connect with customers, and ultimately improve business results.

Search capability is ingrained into our daily life. How many arguments these days are settled with the conclusion, “Just Google it”??! We all expect some type of search functionality in every application and website. Meanwhile, advances in computer vision, natural language processing, large language models, and generative AI have made it possible to extract semantic properties from unstructured data in the form of vector embeddings. It can be daunting to query this kind of data, which combines K-Nearest Neighbors algorithms and lexical search, unless you have the right tool for the job. When you fail, performance suffers. Web users typically expect search results under one second.