DAM News Round-Up – 5th October 2020
DAM and Enterprise Content solutions provider OpenText offer up five considerations when attempting to increase productivity and ROI for your DAM implementations. Guidance covers accelerated file transfer solutions, improving collaboration, integrating AI for improved asset discoverability, moving to the cloud, and automating time consuming and manual tasks.
According to Gartner’s 2020 CMO Spend Survey, “creating and managing content now accounts for the second highest area of marketing spend”. Marketing software vendor Aprimo highlight the importance of DAM in this recent blog post and list a number of use cases that marketing departments are using them for. Although little more than a thinly-veiled plug for their own platform, they do offer a free DAM Buyer’s Guide PDF download which offers more in-depth and platform-agnostic information.
Olivia Schütt from DAM and Content Management solutions provider PicturePark has published an article explaining the importance of metadata. Punctuated by some startling statistics about the rate of content creation on today’s digital social platforms, Olivia walks through the critical role of both well-formed and unstructured metadata in improving the findability, context and relevance of assets in what would otherwise be an overwhelming volume of content.
I’ve recently commented on an article by the founder of Pica9’s CampaignDrive Kevin Groome. His seasonally titled article brings attention to a number of early warning signs that could suggest your DAM system is on the decline, along with a series of measures to reverse the decay and bring it back to health. Symptoms listed include low user adoption, competing software and storage platforms, a lack of third-party downstream integrations, and the absence of a DAM Champion to drive, support and promote the system.
From robot ethics to embarrassing and often dangerous blunders, the ethics of Artificial Intelligence has been flipping the needle of society’s moral compass for at least 50 years, yet AI-assisted systems are now being increasingly used in our day-to-day lives. In a recent article on the subject, Dr. Marlene Wolfgruber explores the reasons behind the growing mistrust of AI among consumers and enterprises alike, along with key risk areas for business leaders to consider when incorporating AI: using unbiased data sets to train AI models; ensuring sufficient privacy and security measures are in place; limiting the use of AI in critical decision making; and informing customers that they’re interacting with an AI-supported system.Share this Article: