No research analyst is happy with content discoverability. This is due to inaccurate tagging, inconsistent tagging, over/under-tagging, or the inability to match topics and themes to client interest. Most tagging efforts that aim to address these issues are manual, and existing automated tagging approaches fail to address the problems comprehensively. This webinar will demonstrate how you can improve content availability and discoverability with Amenity’s Intelligent Tagging solutions. Special guest Omar Gazarin, Head of Product, Americas at Eidosmedia will join us to discuss the tagging landscape and Amenity’s comprehensive research tagging solution, which effectively streamlines the research authoring process by improving research visibility and tagging consistency through Amenity’s industry-leading NLP.
Content availability is paramount to both research creators and providers as they seek to maintain mind share with clients. A robust framework that applies accurate tags to the most prevalent themes and entities within research documents promotes the discoverability and timely consumption of sought-after information.
Research tagging has enabled buy-side analysts to find the most relevant research reports based on the theme or entity they are interested in. However, most incumbent tagging efforts are manual, and legacy automated tagging approaches fail to address these needs comprehensively.
This webinar will show via a live demo how you can improve content availability and discoverability with Amenity’s Intelligent Tagging solutions.
You will learn how Amenity empowers sell-side researchers to:
Amenity’s Product team, Viktoria Krane and Justin Ramos, will be joined by special guest Omar Gazarin, Head of Product, Americas at Eidosmedia to discuss these topics and to elaborate on how Intelligent Tagging effectively displaces manual and third-party alternatives when it comes to creating discoverable and curated content.
