Big Data News Hubb
Advertisement
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us
No Result
View All Result
Big Data News Hubb
No Result
View All Result
Home News

Digital Asset Management Trends In The Age of AI & ML

admin by admin
November 22, 2022
in News


There are few things more pivotal to modern business than digital asset management, and the influence of artificial intelligence and machine learning over this niche is growing by the year.

A variety of AI and ML-shaped trends have emerged as a result, and understanding these is useful if you’re looking for a new DAM solution for your organization.

Optimizing search tools

One tricky aspect of making DAM efficient is the need to ensure that any assets which are added to the system are highly searchable.

In the past, this meant manually adding metadata to files so that users could pinpoint them swiftly and precisely further down the line. This task, like many others, was time-consuming and mind-numbing, especially when large volumes of data were involved.

Today, AI allows metadata to be generated and optimized for search with a high degree of automation, freeing up team members to tackle more interesting aspects of overseeing content generation and storage.

Cross-channel content distribution

Brands have to be active across so many spheres in the social media age, which of course makes publishing content a chore, particularly in the case of having a smaller team.

With DAM software, the amount of work involved in coordinating cross-channel content campaigns is reduced, since it’s possible to automate the formatting of files so that they can quickly be posted to whatever platforms you occupy.

Access management & security

One challenge which comes with contemporary digital asset management tools is monitoring and controlling who has access to files.

As mentioned in this overview of Air vs. Brandfolder digital asset management solutions, it’s far simpler to wrangle these aspects when a degree of automation is involved.

Privileges can be set and adjusted as needed, alerts can be implemented to ensure that any suspicious activity is detected and handled as a priority, and in-house team members as well as any external clients and stakeholders can be brought into the fold without this becoming an administrative burden.

Third party integrations

We’ve already touched on the idea that DAM cannot exist in a vacuum, but actually must be designed to provide and facilitate interoperability between internal systems and whatever additional platforms and services your organization has to be plugged into.

This goes beyond social media content formatting, and extends to all sorts of third party integrations, not only with established content management systems, but also a range of other software tools which are vital to all sorts of operations.

The compatibility with a diverse array of APIs, and support for whatever setup is most suited to the individual business, is at the core of what makes cutting edge DAM software attractive. Automation has a part to play here as well, enabling otherwise separate ecosystems to integrate without needing to reinvent the wheel every time something new is added to the mix.

Collaboration

Ultimately the purpose of DAM is to give employees, clients, freelancers and other contributors to projects within a business the means to collaborate with as little friction as possible.

AI and ML will continue to exert more power over how convenient and seamless the collaboration process is, and in an ideal use case their implementation will be effectively invisible.

Final thoughts

If you’re still relying on a clunky CMS, or you’re stuck in the dark ages with an outdated DAM solution, now is the time to see what all the fuss is about and switch to a new alternative. Automation is already here, so being onboard early will strengthen your position and ensure future growth and prosperity are achievable.



Source link

Previous Post

insideBIGDATA Latest News – 11/21/2022

Next Post

Microsoft Bolsters Azure Integration with SQL Server 2022

Next Post

Microsoft Bolsters Azure Integration with SQL Server 2022

Recommended

DALL·E 2 Pre-Training Mitigations

January 27, 2023

Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk

March 16, 2023

6 Reasons Why Flutter is Better than Any other Cross-Platform SDK

November 23, 2022

Don't miss it

News

Global Benefits of International Courier Services

March 21, 2023
Big Data

An early look at the labor market impact potential of large language models

March 21, 2023
Big Data

Unlocking Hidden Value From Production Line Data

March 20, 2023
Big Data

Fine-Tuning Large Language Models with Hugging Face and DeepSpeed

March 20, 2023
News

Accelerating revenue growth with real-time analytics: Poshmark’s journey

March 20, 2023
News

Big Data Career Notes: March 2023 Edition

March 20, 2023

big-data-footer-white

© 2022 Big Data News Hubb All rights reserved.

Use of these names, logos, and brands does not imply endorsement unless specified. By using this site, you agree to the Privacy Policy and Terms & Conditions.

Navigate Site

  • Home
  • Big Data
  • News
  • Contact us

Newsletter Sign Up

No Result
View All Result
  • Home
  • Big Data
  • News
  • Contact us

© 2022 Big Data News Hubb All rights reserved.