DAM News Round-Up – 21st February 2022
A collection of recent DAM and marketing technology related articles from around the web.
Digital Asset Management software provider Pics.io take a look at content operations in this recent blog post. Covering a basic description, the article highlights a number of issues, primarily focusing on the fact that many organisations simply do not use it, or at least wrongly identify which processes fall under the umbrella of content operations. From writers, graphic designers, and creators through to marketing, the main thrust of the article deals with the lack of communication between different teams and a poorly constructed technology stack, both resulting in chaotic content operations management and inefficient workflows. Other areas of discussion include asset findability, licensing, and how to improve collaboration with third-parties.
3 steps to prepare for a successful DAM migration
DAM vendor Bynder present three tips for migrating between DAM systems, whether it be from a legacy system to a new platform, or simply switching storage providers. Having performed a number of migrations, I can safely say that preparation really is the key here; the devil is in the detail and any number of issues can crop up when data hasn’t been properly formatted or sanitised. The three tips on offer are: performing an audit of your assets, chiefly so –called ‘evergreen’ assets such as logos, templates and internal documents; cleaning up data and defining your metadata structure; and appointing a DAM champion and a team that will be responsible for building and executing the migration strategy.
Get Your DAM House In Order: Latest Forrester Wave™ Highlights Top DAM Vendors
Research and consulting outfit Forrester have announced the publication of their latest DAM survey. The Forrester Wave report evaluates 14 vendors against 27 criteria, although given the widespread stagnation and continuing hyperbole in the DAM sector, I very much doubt that its findings warrant the eye-watering sum of $3000 and will undoubtedly turn out to be yet another case of peddling the emperor’s new clothes. My co-contributor Ralph Windsor has also commented that DAM is prone to cases of ‘corporate amnesia’, whereby poor adoption levels and inadequate internal communications allow vendors and consultants to sell rehashed or repackaged software and services ad infinitum.
The mechanisms behind ownership of digital artworks has recently come under fire after NFT holders have found themselves at the centre of a dispute over copyright permissions. A number of high-profile artists, including Damien Hirst and Anish Kapoor, are arguing that no permission was sought, or granted, for tokens that represent physical versions of their artwork. A total of 1138 NFTs, worth “millions”, had been auctioned on OpenSea as part of the ‘Art Wars’ collection, a project launched and curated by London-based artist Ben Moore. The case is ongoing. As a side note, online payment provider PayPal has recently expanded its list of ineligible items to include “certain NTFs with a transaction amount of more than $10,000“, further suggesting that confidence in such tokens has taken a knock.
GPT-3, Bloviator: OpenAI’s language generator has no idea what it’s talking about
The buzz surrounding OpenAI’s new language-generating system, GPT-3, is summarily muted in this recent article from MIT Technology Review. After performing a series of experiments, the inherent naivety of the system’s reasoning (biological, physical, social, and psychological) was immediately evident, and ultimately draws the conclusion that the knowledge gathered by the neural networks remains “spotty and pointillistic, arguably useful…but never reliable“, and that with 175 billion parameters and half a terabyte of data, it’s still “not a reliable interpreter of the world“. Attention is also drawn to the fact that, contrary to its name, OpenAI’s technology is most certainly not ‘open’ after repeated requests for research access were ignored.
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