August 29, 2023
By Tyler Nesler Associate Editor
Short Cuts

How Does Generative AI Impact Streaming Monetization?

生成式人工智能是所有行业的游戏规则改变者, 如何利用它，是一系列流媒体组织寻求将其内容和运营货币化的关键战略和技术问题. Nadine Krefetz, Consultant, Reality Software, Contributing Editor, Streaming Media，探讨了生成式人工智能对C语言当前和即将产生的影响.J. MAD Leo Consulting, LLC的主要所有者Leonard和首席技术官Darcy Lorincz， Barrett-Jackson Auction Company, in this clip from their panel at Streaming Media Connect 2023.

“从盈利角度来看，GenAI对哪个领域的影响最大?” Krefetz asks. “重要的是能够创造出更多版本的东西? Is it being able to target? 你从游戏AI体验中创造的价值是什么?”

C.J. Leonard says, “I don't have a hard and fast answer to that right now, but I do know that with video, specifically DALL·E 2 and ChatGPT, there's the paid version. 你还可以通过扫描视频来做其他事情, (在那里)所有我们甚至没有意识到我们拥有的数据将会暴露出来. And then companies…WPP just did a deal with NVIDIA to be able to use GenAI just for creatives. 但我认为，当他们弄清楚如何获取创意人员的信息时, pair it with where it ran, what were the users, and ask a GenAI engine, ‘What's the best way to get greater outcomes?’，我认为这将在未来几年内实现.”

Krefetz asks Lorincz, “你是想从效率的角度来看，还是从个性化的角度来看，对你来说最大的好处是什么??”

Lorincz专注于产品植入，将其作为GenAI的一个独特应用. Regarding written content, 他说，生成语言模型已经可以通过文本替换提示轻松快速地将品牌合并到副本中. However, on the video and image side, 他说，目前的技术还不能很容易地复制和替换图像, even though it is catching up fast. “Last week, Midjourney 刚刚出现了替换图像部分的能力，”他说. “So if I want to replace something on a table, and it's a Coke bottle, 现在我想要一个啤酒瓶之类的背景, I can put a rope around it and tell it what to do, and boom, it's replaced in seconds. 所以你真的看到了过去很多繁重的工作, 甚至对这些计算机视觉功能中的一些产品进行图像替换, AI just made it a nothing burger.”

Lorincz强调，虽然使用开源成像模型是可行的, the key now is to train your own generative models. “当你训练自己的模型时，”他说，“那么你就只能用自己的东西了. It's only going to be talking in your tone. It's only going to show you your images. That's the next step. And at the last Ai4 conference I [attended] a few weeks ago, 所有的公司都在谈论如何训练自己的语言模型.”

Free

for qualified subscribers

Subscribe Now Current Issue Past Issues

How AI Helps Solve Streaming Content Monetization

关于人工智能和流的许多讨论都涉及工作流的简化和自动化, 但内容公司如何利用它来更有效地个性化他们的内容和定向广告, among other monetization strategies, is another question the industry is examining closely. Chris Pfaff与华纳兄弟公司Vevo的Bethany Atchison一起探讨了这个问题. Discovery's Dan Trotta, TVREV's Alan Wolk, 和Erickson Strategy的Paul Erickson，这段视频来自流媒体连接2023.

11 Dec 2023

Generative AI and the Future of Media Tech

将生成式人工智能整合到我们的工作流程中有可能影响媒体技术中的几乎所有内容, 我将在本文中研究几种可能性.

04 Oct 2023

Pros and Cons of AI in Streaming

ChatGPT和其他人工智能应用的增长和采用对流媒体专业人士有什么显著的好处和坏处, and how can they leverage its strengths effectively? Boston 25 News' Ben Ratner, LiveX's Corey Behnke, AugX Labs' Jeremy Boeman, Mobeon's Mark Alamares, 和Intellivid Research的Steve Vonder Haar在流媒体连接2023的这段视频中讨论.

22 Sep 2023