DAM EU – June 27-28, 2019!

Only 3 weeks away, DAM EU by Henry Stewart Conferences, including a Panel titled, “Metadata Matters – because when it comes to content, it’s everything you have…” on 27 June, 14:00PM moderated by one of our favorites, John Horodyski of Optimity Advisors. It will be at the The Amba Hotel Marble Arch, London.  Go, while you can still travel to the UK!

Metadata is a strategic imperative in the endeavor to manage effectively a company’s knowledge. The successful implementation of any DAM or content related strategy requires the implementation of a holistic metadata schema that is supported by technology, people and process. It increases the return on investment of a content system by unlocking the potential to ingest, discover, share and distribute assets.

This session explores how different industries and organisations manage metadata and design their metadata models to fit their business needs. The panel will discuss lessons learned, top tips, successes and new developments in the field.

Also featured:

Seminars on traceability, life cycle, DAM conundrums, AI, Data Analytics, system selection, a Nestlé case study on a migration to a new DAM, a nifty discussion on Change Management principles, and more!

Using AI for Metadata Creation, Setting up meaningful KPIs

CMSWire has a pair of notable articles on two topics of interest:

Using AI for Metadata Creation

Which is the briefest of introductions to a deep and complex topic that you need to be familiar as a DAM Lead. It has some links to some related articles: more on this in upcoming posts.

And an addition to the “What have you done for me lately?” topic, where you always need to be showing the value, and justifying the cost, of your DAM to your company: How to Set Up Metrics that Matter for Your Digital Workplace.

This second one is kind of generalized, so I suggest digging in thoughtfully and making sure you have lots of good talking points covered by your KPIs, while not succumbing to “Sr. Exec Disease” and making employees do eye-rolling work to get excessive statistics.