Issue link: https://digital.copcomm.com/i/1512899
www.postmagazine.com 31 POST NOV/DEC 2023 OUTLOOK O O OUTLOOK O OUTLOOK ARTIFICIAL INTELLIGENCE scalability, flexibility, and most impor- tantly, the ability for virtually the entire company to participate in the workflow. How no-code/low-code platforms can revolutionize the media supply chain End users are increasingly seeking intuitive user interfaces that do not require extensive vendor training. They also expect their media supply chain technology to provide consumer-style experiences. With no-code/low-code platforms, users can modify and enhance supply chain solutions without relying on IT, enabling the rapid deployment of new supply-chain solutions without lengthy coding and testing cycles. Rather than waiting months for custom scripts, companies can configure and deploy optimized supply chain workflows in weeks with drag-and-drop simplicity. This allows supply chains to adapt quickly to new technologies, partner and business models. Staying competitive in a rapidly- changing environment Low-code/no-code platforms deliver immediate ROI and improved business agility while freeing up technical resourc- es. Changes that once took months of development due to the "toolbox eˆect" can now take hours or days. By eliminat- ing the need for custom scripting — and expensive productized professional services — businesses can centralize and standardize media supply chain logic into a single solution. This avoids fragmen- tation across disparate scripts. With a unified platform, it becomes easier to maintain and build on solutions over time as business needs evolve. Embracing no-code/low-code media supply chain platforms like Ateliere can help media companies reduce cost, increase monetization and remain competitive. By eliminating the need for custom scripting and expensive produc- tized professional services, businesses can maintain a competitive edge in an ever-evolving industry where job security is measured in time to ROI. BY JIM TIERNEY PRESIDENT DIGITALANARCHY.COM TRANSCRIPTIVE.COM here are, broadly speaking, two types of AI: older school, neural network AI, and the newer large lan- guage model AI that things like ChatGPT use. Older AI is the underpinnings of things like face detection or speech-to- text, while LLM is behind most 'genera- tive' AI. One of the very common topics at NAB NY this year was, "How long before AI takes my job?" Like, damn near half the conversations I had were some variation of that. The answer is: A really long time — if ever. It's rather unlikely we'll ever have the "Create Award-Winning Doc" button. The caveat is that it's going to 'change' your job soon. In small ways at first, and bigger ways later. So just as when video editing moved from o¾ine edit bays to NLEs, there are going to be new skills to learn. But for those of us that work with AI and develop those tools, we understand very clearly how limited it is, and how prone it is to go oˆ the rails. Take face detection. It's a use for AI that has been around a (relatively) long time. It's a mature technology and it works well if you're facing the camera. Turn your head, and it fails often. We use it in our retouch- ing plug-in, Beauty Box, and a large part of build- ing that into the product was building tools around it to deal with how often it fails. Like a lot of AI algorithms, ultimate- ly it's a net benefit to use it, but a lot of work goes into providing tools in the product to let the user fix issues when it fails. Looking at generative AI. It's very hard to keep it on point, and for video, it's hard to see it advancing far enough any time soon to generate good imagery for professional use (for TikTok, well...). That said, will it help you storyboard or think through potential rough cuts? Most likely. It's a tool. Potentially, a very-good, time-saving tool. But a tool nonethe- less. And to use that tool, you'll need to become familiar with models, refiners, control nets, prompt engineering, etc., etc. There's some learning that has to happen. But it's not going to replace you. I look at these mature AI technologies and how inconsistent they can be, and I just don't see AI replacing video editors, cinematographers or whatever. The hype around AI has vastly outrun the reality. I think folks are seeing a few examples where the tech worked and extrapolating it to the moon. What they don't show you is how often it fails. So take a deep breath, budget in some time for learning/experimenting, and keep on keeping on. A.I. HYPE VS. REALITY T