There’s a good chance you’ve heard of ChatGPT. Last November, an artificial intelligence research company called OpenAI launched ChatGPT as a prototype to improve the way humans interact with AI. ChatGPT is a conversational bot, that was trained up until the end of 2021, to answer any question in a detailed and contextualized way. So we decided to hop on and ask our new favorite AI some burning questions you may have about cloud video production workflows. Here we will analyze its responses. 

1. Does cloud video production cost more than traditional video production?

Chat GPT: The cost of cloud-based video production can vary depending on a number of factors, such as the specific services being used, the amount of data being transferred, and the length and complexity of the production. In general, however, cloud-based video production can be more cost-effective than traditional on-premises video production.

One of the main benefits of cloud-based video production is that it allows organizations to scale up or down their resources as needed, without having to invest in expensive hardware and software upfront. This can help to reduce costs and increase efficiency, especially for organizations that have unpredictable or variable workloads. Additionally, cloud-based video production can help to reduce the cost of maintenance and support, as the provider is responsible for maintaining the infrastructure and keeping it up to date.

That being said, it is important for organizations to carefully consider their specific needs and budget when deciding whether to move to a cloud-based video production system.

Our view: Our first answer is impressive and factually correct. This question often comes up in our conversations within the industry. Put succinctly, transitioning video workflows to the cloud is a long-term play. It sets the foundation for operational cost savings and reduces expenditure, especially for varied workloads. Not to mention, the ability to produce video remotely and collaborate with distributed teams can save you big on travel and equipment transport. 

2. Is cloud video production less reliable than hardware production?

Chat GPT: Cloud video production can be just as reliable as hardware-based production, and in some cases, even more so. Cloud-based services are often designed with built-in redundancies and backups to ensure that data and resources are always available and accessible. This can provide a level of reliability that is difficult to achieve with traditional hardware-based production methods.

Additionally, cloud-based video production services are typically maintained and updated by the service provider, which can help to ensure that the software and tools are always up to date and functioning properly.

However, it’s worth noting that the reliability of cloud video production can depend on the specific service and provider being used. Some providers may be more reliable than others, so it’s important to research different options and choose a provider that has a proven track record of reliability.

Also, the internet connection and the devices of the users should be reliable enough to handle the cloud video production, otherwise, it may face some issues like buffering and low-quality streaming.

Our view: Another hot topic. Much of what ChatGPT says here is correct. Internet connectivity can be an issue – but there are workarounds. Video processing takes place in the cloud, so once you have handed off in that first step, local connectivity isn’t a barrier. Plus by using bonded cellular networks, especially those with internet gateways provided by manufacturers such as Dejero, you can stabilize unreliable connections for your production equipment. We wrote a blog about producing a live show from a conference room floor which you can read here.  

3. Why shouldn’t I use cloud video production?

Chat GPT: There are a number of reasons why an organization might decide not to use cloud-based video production, including concerns about security, reliability, and cost. However, it is important to note that these concerns can often be mitigated with the right planning and strategy.

One potential concern is security. Some organizations may be hesitant to entrust their data and assets to a third-party provider, and may prefer to keep everything in-house for greater control and visibility. However, reputable cloud providers typically have robust security measures in place to protect their customers’ data, and may even be able to provide a higher level of security than an organization could achieve on its own.

Another potential concern is reliability. As with any technology, there is always a risk of downtime or outages with cloud-based systems. However, as mentioned earlier, reputable cloud providers typically have highly redundant and scalable infrastructure in place to minimize the risk of outages, and can provide organizations with greater reliability than they could achieve on their own.

Finally, some organizations may be hesitant to move to a cloud-based video production system due to cost. While it is true that the upfront costs of transitioning to the cloud can be significant, the long-term cost savings and benefits of cloud-based video production can often outweigh these initial costs. It is important for organizations to carefully consider their specific needs and budget when deciding whether to move to a cloud-based video production system.

Our view: We may need to hire ChatGPT to our sales and support staff. The robust security and redundancy measures we have in place are detailed in its answer. Our systems are built on AWS infrastructure with industry-leading security and reliability measures. Much of this is a sigh of relief to our customers who do not need to manage it themselves. 

ChatGPT is also correct about the investment needed to adopt cloud production workflows. It is a journey – it’s not about ripping up what you have and replacing it all at once. It’s about identifying where you can improve efficiency and reduce your operating costs. Cloud production tools can slot into existing workflows seamlessly. 

Conclusion

ChatGPT is an impressive AI tool. Its only downfall is being in the beta stage, its training stopped at the end of 2021. Our industry is moving fast and developments in cloud technology are disrupting traditional production workflows more than ever. 

Even so, its grasp of cloud production, how and why these platforms are built, is impressive. We hope you learned a thing or two from ChatGPT!