The Index

Volume 2: Spring 2023

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The Future of AI in Digital Asset Management

(Kind of) written by Mel Francis, 5th February 2023

Almost immediately after I announced the launch of The Index, which I’d intended to be a quarterly-ish outlet for me to share my own and others’ insights into the strange world of working with archives and data, lots of things began to change. For me, this included a pivot towards working directly with the types of software I’d been using as a consultant, to the extent that I’m now spending most of my time working with the open source Digital Asset Management system, ResourceSpace.

Another thing that changed: I no longer had time to write for The Index and neglected it, almost immediately after having professed about germinating it.

For the next edition, I wanted to write a long-form(ish) article about how important a time it is for us to be thinking about the latest developments in Artificial Intelligence. I’d have perhaps listed some of the many start-ups making strides with the technology, and probably swerved towards a conclusion about how we’ll need specialists like AI-focused consultants more than ever if we want to employ the technology effectively. But I haven’t really had time, so I asked OpenAI’s ChatGPT to do it instead:

Me: Write me a 500 word article on ChatGPT and the future of artificial intelligence, with a particular focus on the digital asset management industry.

ChatGPT: “ChatGPT is a language model developed by OpenAI, one of the leading artificial intelligence research companies. The model is a transformer-based neural network architecture that has been trained on a massive amount of text data from the internet. This training enables ChatGPT to generate text that is coherent and contextually relevant to a given prompt.

As AI continues to advance, we can expect to see more language models like ChatGPT being developed and applied to various industries. One such industry that is likely to see significant growth and transformation due to AI is the digital asset management (DAM) industry.

DAM is the process of organizing, storing, and retrieving digital assets such as images, videos, audio files, and documents. It is a critical function for many businesses, particularly those in the media and entertainment industry, as they deal with large volumes of digital assets on a daily basis.

In the future, AI-powered DAM systems will become more common, allowing for automated and more efficient management of digital assets. With the ability to analyze vast amounts of data, AI systems can categorise, tag, and organize digital assets in a way that is both scalable and consistent. This can lead to significant time and cost savings for businesses as manual processes are replaced with automated ones.”

Thanks ChatGPT, that’s saved me some bother, aside from the American spellings and lack of quotation marks. Perhaps we’ve surpassed those now; if it’s ‘neutral’ content like marketing texts that aren’t pretending to be original or authentic, does it matter who said what? Is that why it’s called ‘copy’? (Nope – latin. I’m going to put them in anyway.)

Copy originates from the latin ‘copiae’, meaning ‘an abundance of writing’,
like this lady appears to be thinking about doing.

The other thing I’d been reading about was how we’ll need to adapt to new responsibilities as manual data entry jobs fade further into obscurity: the rise of the Prompt Engineer. I don’t have time to write about this either – luckily, I don’t need to.

Me: Tell me how jobs are going to be affected by natural language processing technologies, particularly in the digital asset management industry.

ChatGPT: “The integration of natural language processing (NLP) technologies into the digital asset management industry is likely to bring about a shift in job roles and responsibilities, as well as the creation of new job opportunities.

On one hand, NLP technologies can automate certain tasks, such as data categorization, keyword extraction, and language translation, which were previously performed by human workers. This may lead to job losses in these areas.

On the other hand, the increasing use of NLP technologies in digital asset management may also create new job opportunities in areas such as NLP software development, data analysis, and user experience design.

Overall, while the integration of NLP technologies may disrupt the job market in the short term, it is likely to lead to long-term job growth and the creation of new, higher-skilled job opportunities.”

That’s been very helpful, thanks ChatGPT. I don’t love your paragraph spacing as you seemed to confuse that with the end of each sentence that time. But I suppose I can feel free to use this ‘copy’ in whatever format I want. I’m leaving it as it came, for a bit of extra authenticity, for now.

The key will be, as with most technologies, not in the tool itself but how it’s used. We’ve got the choice to submit, zombie-like, or we can selectively take advantage of tools like these to save us time for more meaningful work. Like writing this three-sentence conclusion.

If ChatGPT and I are both at capacity, who writes the next blog?