I discuss a quick and effective method to conduct customer research using domain names. By leveraging public information and AI, I demonstrate how to gain deeper insights into potential clients, enabling more informed and personalised interactions.

Enhancing Customer Research with Domain Insights

So here's my 10 minute customer research hack. From simply knowing the domain name that your potential customer's coming from, you can do a huge amount of research. And here's how I do it. So let's say that we have a large grocery chain has made an inquiry. First of all, we can research the company. We don't really need to ask them. Now we might be familiar with them, but we're probably not that familiar. The initial piece of research is gonna tell you broadly what they do, how big they are, et cetera. But you can go much more granular than that. So at ScreenCloud, we put screens into locations. What matters to us is the number of locations you have, the type of locations, and who is in those locations. For large companies, that is all public information, easy for AI to go off and actually understand. Then you have an understanding of the footprint that you're potentially working with. Now, given that you have the email address of the person who has got in touch, you can probably also then easily research their background, their job title, and that will give you a sense of what they are going to care about the most, whether they're coming from IT or internal comms or facilities management, whatever it might be. That will give you an inkling as to what you're gonna talk about. But you can even push that a step further. Public companies will talk about their plans and aspirations for the future as part of the information they put out to the market. So for us, when we were researching a large grocery chain, we could see that there were three really big cultural change initiatives that were happening around digital transformation, going paperless, ESG, and certain other things which would identify them, so I won't mention it. Now, digital signage could help in all of those different pillars. And when it came to time to doing the demo, we were actually customizing the content to the very big strategic pillars that even their own CEO had talked about publicly. So yes, you

I explore the potential of using AI in digital signage to prevent health and safety incidents. By responsibly analysing CCTV data, we can dynamically adjust content to address emerging issues. This innovative approach could become standard in the coming years.

AI and Digital Signage: Enhancing Health and Safety

I was asked recently if AI could help in digital signage prevent health and safety incidents from happening. This one is a little tricky because inevitably, we would need to be processing footage of the environment and recording what's actually going on there if we were gonna try and prevent things. It's possible that we could do this through data. So if we start to see the speed of tasks being done at a unusual rate, it may be that someone's cutting a corner and we want to influence that by changing the content. But in reality, it's probably gonna come from some form of camera feed. Now, almost every manufacturing plant, for example, is using CCTV already. So we are monitoring that environment. And I think so long as we do this responsibly and we are not picking on people specifically unless they're doing something really wrong, then actually, I think we can use this information to start to influence the content dynamically using AI to help prevent and inform when we can see that things are starting to go wrong. This has to be handled very, very sensitively. We've not ever done this before, but the technology is in place to do it. So I think it's a really interesting thing to keep considering. And I would imagine that within the next couple of years, this will be commonplace.

I discuss how AI technology is revolutionising the way we communicate across different languages. By using AI for translations, we can ensure messages are understood in various local dialects, enhancing clarity and effectiveness.

Enhancing Communication with AI-Driven Translations

Like many of us, I have been abroad this summer on holiday, and one of the issues I've always faced is when I'm in a country where I don't speak the local language, which is most of them, I don't really know what to order at the restaurant. Thankfully now, with my phone and AI, I can just take a photo of the menu and have a perfect translation. This can also be used on digital signage in environments where the people working there do not speak English as a first language. Historically, getting the nuance of translation right was really difficult. With AI, this is extremely simple, and we can even go towards local dialect. For example, regular Spanish is not the same as Mexican Spanish. And so we can be much more subtle and nuanced in the way that we communicate back to people in a way that they understand. Now, even if the business language is English, we have to be realistic. If you want your message to land, you're much more likely to do it in a language that people genuinely speak rather than speak a fair amount of, or maybe a bit of. So I think that we should be leading into this and acknowledging the reality of the workplace. Because it's no real extra effort, we should be translating content so that the message is landing clearer.

I explore three critical considerations for integrating AI into your organisation: workforce adaptation, marketing and discoverability, and software product development. Each area presents unique challenges and opportunities for growth.

Key AI Considerations for Company Leaders

So as a company leader, I'm sure you're already thinking about AI. For me, there are three key things you need to consider. Firstly, number one, your workforce. If your workforce is resisting the use of AI tools, then I think you're going to be left behind productivity wise. For me, this is probably the hardest challenge of all, is to get people to use it, just not like a new version of doing Google, but actually introducing AI into your working practices. It can be done, but it's not an easy challenge. The second one is marketing and discoverability. Most companies these days are relying on Google search or AdWords in order to be discovered by new customers. But that is rapidly changing. We are seeing search generated traffic go down. However, AI is being asked to make recommendations. It just simply won't make as many recommendations as a search engine once did. So are you discoverable on search engines? I think is a critical question for now. And then the third one, I suppose, depends on whether you have a software product and how you're introducing AI into that software product, where historically it probably wasn't because it didn't exist. So at ScreenCloud, we're thinking about all of those three things. They all have their own merits and challenges and different timelines. I'd encourage you to do the same and let me know what you're thinking about.

Explore how digital signage serves as a bridge between AI and the physical world. Discover why visual representation is crucial for technology and how screens may become the primary medium for AI's tangible presence.

Connecting AI with the Physical World through Digital Signage

Someone recently asked me if digital science could be the missing link between AI and the physical world. AI is going to manifest itself in a whole heap of different ways, so it's quite a difficult question to answer. But here's how I think it does play a role. We are ultimately visual people. We have other senses, but in the same way that people really don't use Alexa anywhere near as much as we thought they would, it's because they can't see it. They can't see the output of that. So whilst they will trigger the lights to go on and to play music, they're not really going to do their full shopping on something they just can't see. Digital signage gives AI and technology in general a canvas to be seen on in physical environments. So if creating content, creating digital content is exponentially easy because of AI, then it needs to be seen on something. And logically, that thing is going to be a screen or a projection, but it doesn't really make any difference. So I do think that if AI is going to manifest itself in physical environments away from your phone and laptop, then it is going to be on screens.

In this insightful video, the CEO of ScreenCloud discusses the challenges and importance of transitioning to an AI-first culture. He shares his leadership approach and the necessity of embracing AI for future career success.

Embracing AI: Leading Change at ScreenCloud

I told my team they were probably going to hate me for what I was about to do. But sometimes being a leader means parental tough love. At a monthly All Hands back in February this year, I told the team that ScreenCloud was going to become an AI first culture and that I was going to enforce that. Now, most people don't like change to be enforced upon them, especially if it's something they're already nervous and agitated about. Most people are worried about what the future means with AI, and therefore that's part of the reason that they're not embracing it. I totally understand that. However, through my eyes, I don't think it's going to be possible to not be a technical company that has fully embraced AI imminently in the next six months, in the next 12 months. And so by forcing the agenda internally, but also trying to help people along the way, I think that we give people the best chance of their future career, both at ScreenCloud and wherever their career takes them afterwards. Here's a quick clip. I'm going to give you the best uplift in your career you'll ever get from me. I'm going to force you to become people that use AI. ScreenCloud is going to be a business where the people inside of ScreenCloud use AI. I don't expect you to be an expert today. And in every task I do, I will identify my ability to do that task with the addition of AI as a tool next to me. Now, when I delivered this, I was actually a little bit scared and I was not entirely sure how people would react, but it has been really promising and people did take it in the spirit in which it was meant. It's also been helpful that a few months later, people like Toby from Shopify have also said the same thing and even stated it more boldly than I did back then. So this is clearly a trend. CEOs need to really consider this as part of their strategy. And enforcing it is not straightforward. And it starts with telling people what you're going to do.

In this video, the speaker delves into the role of AI in technology, emphasising its potential as a collaborative tool rather than a replacement for human talent. The discussion highlights a looming talent gap while also offering an optimistic view for seasoned professionals.

Harnessing AI as Your Professional Ally

Obviously, it would be remiss of me not to speak about AI, given that I'm in technology, and that's all anyone is speaking about right now. My opinion on it has morphed over the last year as I have got closer to using AI, and now actually programming again with AI, which is something I hadn't done for 15 years, and I'm now doing again, which is really enjoyable. As I get closer to AI, what I realized is that it is a thought partner, it is an assistant, it is something to collaborate with. I don't think there is any danger of AI replacing people with experience and with talent. I worry that younger people will not be given the opportunities to build experience because AI can replace the roles that they would have done, the roles that I did when I was early in my career. And so I think we do have a talent crisis coming, but as of today, if you are experienced in what you do, and if you're good at what you do, then AI is going to give you a superpower, and there's nothing to be worried about. In fact, there's a lot to learn, and it's going to be really fun.

Discover how AI and platforms like ScreenCloud are transforming content creation in large organisations. By enabling more voices to contribute, businesses can gain a deeper understanding of internal dynamics and foster a culture of inclusivity.

Democratising Content Creation with AI Tools

It is no longer surprising to me when I speak to an organization with 100,000 people that there are only about five people who create content inside of it. That might seem wild to you, but it's the truth. Now, with AI and with systems like ScreenCloud, we're going to democratize the people who can contribute content back to the business. Because we all have something to say, we all have knowledge, but the gatekeeper here has always been the execution of the content. If people can just explain what they're trying to do and then have AI interpret it for them and format that onto screen in an appropriate manner, we can democratize the voices that we hear. And it doesn't just need to be screens, but obviously that's what I specialize in. But I think this is going to be extremely valuable. We're going to get more of a sense of what's really happening inside of the business. We're going to hear more voices, more experience, and ultimately that can only be a force for good.

Discover how effective preparation can transform your AI projects. Learn about leveraging prompt engineering to streamline your workflow and minimise repetitive tasks. Engage with innovative strategies for achieving AI excellence.

Mastering AI: Efficient Preparation Techniques

By failing to prepare, you're preparing to fail. With AI, it's all about the research and the upfront work that you do because the output comes out in seconds. You don't need to worry about that anymore. It used to be the majority of the work. So here's how I do it. I am someone who enjoys talking. Are you surprised? I will often then brain dump the situation, the idea, the project, and just record my voice on my computer. Now, this is not something you would ever want to hear back. I often disagree with myself. Sometimes I just don't say anything for 20 seconds. It's not about entertainment like these videos. It is about trying to get all of my thoughts out of my head. I then take the transcript, and I go into a prompt engineering project that I've built for myself, which will then listen to what I'm trying to do, and then AI itself will engineer for me the very best prompt it can do to help me. At that point, I go into a new chat with this fresh prompt, and we really get started. When I have finally got myself into a good position with what I'm trying to do, if the task is something I'll repeat in the future, I turn it into a project, and I hold all of that information in a project so I can easily come back and repeat the process again, but this time with almost no preparation work required because I've done all the preparation work before. So if you want to know more about those prompts and those projects, I'd be happy to share them with you. Just DM me or comment, and let's go and make some AI magic.

Explore how AI is revolutionising both office and frontline environments, particularly through robotics in manufacturing. Discover the changing dynamics and job implications in this evolving landscape.

Impact of AI on Frontline and Knowledge Workers

As you know, at ScreenCloud, we have focused on digital signage communication, particularly to frontline and deskless workers. So it's pertinent that we consider the impact of AI both in the office environment and the knowledge worker environment, but also on the frontline. Now, until recently, I would have said that it will impact the frontline much, much less than it will knowledge workers, and that's probably still true. However, we are now beginning to see the emergence of AI in robotics, and I have visited multiple manufacturing plants where they are heavily using robotics, and there's far fewer people working in those environments than you might think. When I have visited manufacturing environments, I am surprised to see how few people are there working on the ground because most of it is automated and is using robotics extensively. So although there's going to be a lot of new jobs created as we re-industrialize, as America is re-industrializing apace, it won't quite have the same numbers that it would have had back in the 1950s. So I think AI is ultimately going to impact everything, and on the frontline, I think we'll start to see that emerging in a few years' time. But first, it's going to be the people working on computers.

Discover how effective preparation transforms AI project outcomes. Learn about utilising prompt engineering and the benefits of recording initial ideas to optimise future projects. Engage with us for more insights into making AI magic happen.

Streamlining AI Projects: Efficient Preparation Techniques

By failing to prepare, you're preparing to fail. With AI, it's all about the research and the upfront work that you do because the output comes out in seconds. You don't need to worry about that anymore. It used to be the majority of the work. So here's how I do it. I am someone who enjoys talking. Are you surprised? I will often then brain dump the situation, the idea, the project, and just record my voice on my computer. Now, this is not something you would ever want to hear back. I often disagree with myself. Sometimes I just don't say anything for 20 seconds. It's not about entertainment like these videos. It is about trying to get all of my thoughts out of my head. I then take the transcript and I go into a prompt engineering project that I've built for myself, which will then listen to what I'm trying to do. And then AI itself will engineer for me the very best prompt it can do to help me. At that point, I go into a new chat with this fresh prompt and we really start to get started. When I have finally got myself into a good position with what I'm trying to do, if the task is something I'll repeat in the future, I turn it into a project. And I hold all of that information in a project so I can easily come back and repeat the process again, but this time with almost no preparation work required because I've done all the preparation work before. So if you want to know more about those prompts and those projects, I'd be happy to share them with you. Just DM me or comment and let's go and make some AI magic.

In this video, explore how integrating AI into daily processes has transformed work routines, shifting focus from execution to preparation. Learn about the benefits and challenges of collaborating with AI to optimise productivity.

Transforming Workflows with AI Collaboration

I've been working a lot with AI personally over the last year, and as a result, a lot of the processes I previously had have changed quite radically. The fundamental shift is that I now spend a lot more time preparing my content and researching my content and collaborating with AI on that, rather than actually doing the work of writing and executing and designing it. That happens very, very quickly because AI can handle that at speed. However, it doesn't produce great results if I don't do a lot of the preparation and thinking in advance. So I now have the same amount of time in a day, and I'm still as busy as I ever was, but I spend more time preparing and less time doing.

Explore how ScreenCloud aims to integrate AI into its products to enhance content creation. Learn how large companies can leverage AI's power and magic in their workflows.

Unlocking AI's Potential in Content Creation

So when I speak with most of our customers at ScreenCloud, they are obviously aware of AI and the impact of it because they mostly work in very large companies. They haven't actually had that much exposure to it themselves or use it daily in their own workflows. I think it's down to us at ScreenCloud to introduce AI where it's useful into the product. And then by proxy, our customers will start to experience the power and magic of AI in content creation as we go forward. ScreenCloud. ScreenCloud. ScreenCloud. 

Discover how ScreenCloud is transforming digital signage to focus on employee and student communications. By leveraging cloud-native and AI-first technologies, ScreenCloud is setting itself apart from traditional providers. Learn about the modernisation of technology in workplace communication.

Revolutionising Digital Signage with Cloud and AI

So it would be remiss of me to say that ScreenCloud is unique in having an enterprise digital signage offering. Obviously, that's not true. There is the incumbent market that has been around for almost 40 years now. The difference between them and us is really the emphasis of what those screens are being used for. Traditionally, digital signage has been used for commercial use cases. So that's retail, quick serve restaurants or outdoor advertising. This is what you already see every day. We focus on screens that communicate, employee and student facing screens. And that is a completely different set of requirements and use cases that you need to focus on. Linked to that is really the modernization of the tech stack. We are obviously going through a massive paradigm shift in technology with AI. Some of the incumbent providers are not even yet on cloud. We're obviously cloud native, the clue's in the name, but we're moving quickly towards cloud native and AI first. The incumbents will have quite a lot of technical debt to catch up on, and I don't think they'll catch us. And of the more modern enterprise offerings, you're probably looking now at the workplace communication space. These are great products, but they're multifaceted. They're not pure screen digital signage. They will often be an intranet product, a meeting room product, an entry system, an app, an email platform and more. Now, as we go through the era of AI transformation, they have to upgrade all of those products. We have to upgrade one. Who do you think is going to have the superior platform?

In 2025, a federal government building's screens were hacked to display a deep fake video involving Donald Trump and Elon Musk. While AI continues to advance, this incident highlights the need for improved screen security. Join the discussion on the implications for technology and security.

Deep Fake AI Incident Raises Screen Security Concerns

So it wasn't in my 2025 predictions that Trump and Musk would feature in a deep fake bromance on government property screens. So the news has been somewhat eventful in 2025 but one story did catch my eye. The screens in a federal government building were hacked and a deep fake AI video of Donald Trump sucking Elon Musk's feet was put onto those screens. Now as much of a fan of AI I am, I am not going to condone hacking screens. I don't think that this is really a good use of screens. It's certainly not a sign of genius. So I'm going to give this screen score one out of five. I'm staying out of the politics but I'm very interested in the screen security. So if you want to discuss that in the comments, please let me know.

Explore the 2025 product roadmap of ScreenCloud, featuring innovative solutions like the Pixy Android device and an AI-infused content management system. Discover how these advancements aim to transform your content and enhance integration with popular services.

Exciting 2025 ScreenCloud Product Roadmap Unveiled

So on the ScreenCloud product roadmap for 2025, we have three big, exciting things coming your way. Firstly, the low-cost Pixy Android device with full remote device management. Secondly, in early summer, there'll be a big unveiling of our vision for a feeds-first, AI-infused content management system, how we can transform all of your content into beautiful screen content. Look out for that, it's gonna be super exciting. And then along the way, we'll be improving the platform, and of course, we'll continue to integrate with the services you use the most, like monday.com, ServiceNow, and the Microsoft product suite.

ScreenCloud announces a significant investment from Tenzing, a UK growth equity fund. This partnership will fuel M&A activities and support the company's vision for digital signage in the AI era. Special thanks to the ScreenCloud team and partners for their hard work.

ScreenCloud Secures Major Investment from Tenzing

It is my great pleasure to announce that ScreenCloud has taken majority investment from the UK growth equity fund, Tenzing. We are the fourth investment out of their Fund 3, a £900m fund focused exclusively on software companies at the growth stage. So why Tenzing? Well, firstly, their brand and their core values. Tenzing, if you hadn't already clocked, is the Sherpa that helped Edmund Hillary summit Mount Everest. Tenzing's brand is all about supporting entrepreneurs in their journey and fully realising the growth potential of UK companies. Now, with this level of financial backing, we can start to explore M&A activity inside of our category. So cue a load of investment bankers sliding into my DMs, but you're very welcome to because Tenzing have a portfolio acquisitions director who will be helping along the way. And thirdly, their passion and enthusiasm for the vision that we have here at ScreenCloud for digital signage today and into the future in the era of AI. They are not just about the finance, they're very much about the journey. There are a huge number of people that I would like to thank. Firstly, the team at ScreenCloud, particularly the finance and leadership team who have worked tirelessly to help us through this deal. I'd like to also thank the other funds which took part in the process. I really respect you and learned a lot along the way from all of you. I'd like to give a big shout out to the fabulous investment banking team at Silver Peak who have been with us shoulder to shoulder all the way. And all of our other advisors and various consultants who've been involved in the due diligence process, legal process, finance process, tax process, you guessed it, all those processes. We had professionals along the way. Thank you for your hard work on both the buy and sell side. And to all of the investors who've backed us this far, we got over the first mountain. The 10-year goal that we set ourselves back in 2015 has been fulfilled. I'd like to thank the

Exploring the potential effects of AI on workforce requirements, especially in developing countries. Discusses how AI could reduce the need for large teams, but also highlights the opportunities for upskilling and innovation.

AI's Impact on Workforce and Outsourcing

I think with AI, it means that the negative part of AI is you're not going to need as many people, right? So that's probably quite bad for developing countries. I mean, I think it's super interesting, say, in Nigeria, it's having a population explosion, there's a lot of talent there, time zone is quite good. This could be its time. But then it might be that actually you don't need 100 people, you just need 10 who really understand how to use AI very, very well. And so that might be a bit of a negative to people trying to get into the industry. So we'll see. Yeah, I suppose to a degree, AI might become your outsource. You know, if you know what you're doing, you have the skills to do it. But I think in technology, we forget that we are still the minority, right? You know, out in the real world, there are not that many people who really know how to code, there are not that many people really confident with building web products. And so even if they had AI to do it for them, they wouldn't even know where to begin. So I think there's many, many, many problems that need to be solved. And some of the problems are really small problems that don't warrant a whole SaaS product. But if someone was available to kind of just use AI to spin up and build a product, we've actually done it recently in ScreenCloud. We had one of our customer success team build an app on top of ScreenCloud for an events company in two weeks. And one of our front end developers helped a bit. But the majority of the code was developed through AI and prompting. He's a technical minded guy, but he's not a developer. I think that's pretty cool. Where that affects outsourcing, you're definitely going to need less people. So possibly that's a problem. But then I also think that people who are coming from kind of up and coming countries, they're pretty resourceful, and they're not dumb, like they're going to see that this AI is happening. So right now, maybe they're upskilling themselves on how to use AI and

Explore how ScreenCloud is prioritising an AI first strategy in product design, transforming traditional user interfaces. Discover why adopting this approach is crucial in the next five years.

Embracing an AI First Approach in Product Design

So in an earlier video, you'll have seen me talking about how we were enabling customers to turn off AI features. If we look forward five years down the road, I think that our product is taking an AI first strategy probably before five years, to be honest. So the interface of a content management system with lists and buttons and search bars will just have faded away. There's no point having them when you don't need them. I don't think anyone really truly enjoys clicking multiple buttons to make things happen when you could just ask for it. And that is understood, interpreted and actioned immediately. So all software really needs to take an AI first approach in its design within the next five years. And ScreenCloud is absolutely no exception. People know what they want to put on a screen and to whom they want to communicate it. That part people can already articulate well. The tricky bit is then building a graphical interface and workflows and systems that then follow through on that promise. With AI, they can just explain it. And then if we have done our work correctly, this should be completely possible without them having to click loads of buttons and drag loads of files around.

AI is currently more focused on consumers than businesses, and that makes sense. Consumers benefit hugely from it and provide valuable data for improvement, whilst facing less red tape around privacy and copyright concerns. Businesses are understandably more cautious. This mirrors what we saw with mobile and social media—consumer adoption first, business applications following later.

Why AI Prioritises Consumers Over Businesses

Right now, it feels that AI is really more focused on the consumer, and that makes a lot more sense. The consumer can benefit hugely from it. It's a great place to test and get a lot of data into the systems, which is what AI needs to improve. And there's less red tape, I think, around what consumers are happy to do. I think the trade-offs for better information, better pictures, videos, versus the content they're inputting is probably quite great, and consumers are happy to do that, where businesses are still a little worried about what this means for them, the privacy of their information, copyrights, and things like that. So it's no wonder that most AI companies are predominantly focused on the consumer, even though the business application is also pretty quickly applicable, too. I guess the exception to that rule might be Microsoft with their CoPilot product, but that is being eased into their products, and I'm absolutely sure there's many ways of opting out of it, knowing the way Microsoft is working. I think AI is going to follow for business slower than consumer, and this is exactly what we saw in the mobile days as well, and also social media. It really started with the consumer, and then businesses picked it up later down the line.

We're giving enterprises the option to disable AI features we've just launched. Most IT teams haven't finalised their AI policies yet, and their existing vendor contracts don't include AI terms. Whilst software will inevitably embrace AI more fully in future, right now businesses need time to update their thinking and renegotiate agreements.

Managing AI Features in Enterprise SaaS Products

So, you'd probably be surprised to hear that we are turning off AI features that we've just launched into the product. Well, we're not really turning them off for everyone. We're giving the option to turn them off. Most enterprise IT teams have not figured out their AI policy yet. And therefore, they've been through security reviews and vendor reviews with their existing SaaS partners, such as ScreenCloud, but that didn't include AI terms in those contracts. So, most of them have asked us for a toggle feature where they can remove the AI feature for now whilst they update their policies and renegotiate those master service agreements. So, that's something we're very happy to do. I think there will be a point in the future where it won't be possible to turn off every AI feature because I think software has to embrace these new ways of working and the benefits just way outweigh the negatives. However, now is not the time. I think this will probably come in maybe two years, depending, things are moving fairly quickly, but businesses will need to update their thinking around AI. But for the moment, it's come too soon, too quickly for them, and we totally understand that.

I reflect on the portrayal of AI and futuristic technology in the new Jennifer Lopez movie, Atlas. The film illustrates our growing reliance on interactive screens and envisions a future where digital displays are integral to everyday life. This depiction aligns with ScreenCloud's mission to bring such innovative concepts to reality.

Exploring AI and Futuristic Interactions in Film

So at the weekend, I was relaxing, watching TV with my dog, and I watched the new Jennifer Lopez movie, Atlas, on Netflix, which is all about the future and AI and whether we should or shouldn't trust AI. It's quite topical at the moment. And inevitably, there was an opening scene where news is breaking in her apartment, which is this modern, futuristic place, and I could predict three, two, one. There is a load of screens, right, virtually on the wall, and she's going up and interacting with them. It kind of felt like a reboot of Minority Report in many ways. And it just proves, yet again, what we always see is that any depiction of the future comes with screens involved and a degree of interactivity and more reliance on those screens in our everyday life. We are all envisioning this, and actually, even the external scenes, there was projections of advertising to show that the buildings were more futuristic. It's not just film directors that are coming up with these ideas. I think they are using them in their art and their creativity because it's a vision of a future that we've all subscribed to. It's just a case of trying to get there, and that's what ScreenCloud's here to help you all do. ScreenCloud is a proud sponsor of Second Opinion.

I recently heard Kunal Shah discuss his Delta 4 framework for evaluating startups, and it really resonated. When a product delivers a 4+ point efficiency improvement, it creates irreversible behaviour change and natural advocacy. I'm thinking about how we can apply this lens to ScreenCloud as we enter the AI era.

Exploring the Delta 4 Framework for Startup Success

So I was listening to an interview recently with extremely talented Indian entrepreneur called Kunal Shah, and he was talking about his Delta 4 framework for assessing new startups. Let's say I asked you that, what do you think is the efficiency score of booking a cab through Uber on 10 or versus the old method that existed of booking cabs, whatever that method was, most people would say, maybe this is seven, eight on 10. That is maybe two on 10, one on 10, three on 10. So the framework was very simple that every time the Delta of efficiency score is greater than equal to four, three things happen. Uh, it's an irreversible behavior. Once you experience a Delta 4 product or service, you cannot go back. Uh, there is obviously very, very high tolerance. Uh, that's the second thing that, uh, you will hate Uber, but you're not going to like, dammit, I'm going to delete this app and I'm going to move to a more inefficient behavior. The third thing is what I call a UBP, a unique brag worthy proposition. Humans, when they discover something Delta 4, they can't stop bragging about it everywhere. So there's several things I like about this framework. Firstly, I think it's true. Um, and that actually we probably don't try and stress test new companies against something like this, uh, anywhere near as much. And he also goes on to talk about how this is local and how something that's worked very well in America hasn't necessarily worked as well as in India, because the way that people operate is just so vastly different. Um, but what really got me was that, um, we could also apply this to our own products. So ScreenCloud isn't a startup anymore, but we are about to go through a massive period of change, um, with AI and generative technologies. So the ways of doing things previously through content management systems, uploading files and all of that, probably is going to look pretty archaic quite soon, however, um, although we are all aware of AI being around us right now, we're 

I explore how we're leveraging AI at ScreenCloud to transform existing content into screen-friendly formats. From automatic summarisation and translation to generating custom dashboards from spreadsheets, these AI features are designed to make digital signage more accessible and powerful for everyone.

AI-Driven Content Transformation in Digital Signage

We are embracing AI at ScreenCloud. First and foremost, it's about content transformation. Most of the content people want to put on a screen already exists, but not in a screen-friendly format. So AI can easily understand that content and reformat that up the screen. In addition to that, we can summarize content, so we can condense it so it's easier to understand. We can also do things like translation as well, and even upscale and create images to associate with that content if there isn't any available. Finally, we're actually looking at ways in which we can generate code and screen apps automatically for those screens. So that could be taking a spreadsheet and dynamically building a dashboard of those numbers ready up onto a screen. So stay on the lookout for loads of AI features coming from the ScreenCloud product team.

I explore how Tesla's autopilot AI, trained entirely on visual input, mirrors how humans learn through sight. This parallel demonstrates why visual communication through digital signage is so powerful for engaging our subconscious cognition.

Harnessing Visual Learning in Digital Signage

AI is a super hot topic right now and all of those new large language models are being trained on data publicly available from the internet. However, one of the more mature AI models is actually Tesla's autopilot. This is the model that helps autocorrect and drive the car. Now this model was trained exclusively on camera input, so it's visually trained. Elon explains why. I mean humans are photons in, controls out. The vast majority of information reaching our brain is from our eyes. And so what's the output? The output is our motor signals to our fingers and mouth in order to communicate. So what Elon is getting at here is that as humans we learn a huge amount through our eyes. Think of a small child. Before they can speak, before they can read, they are learning very visually and picking up a whole sense of what the world is really all about and then seeing how people are reacting to that. So in Tesla's case, by filming drivers, just having live inputs of film as they're on the road, we can begin to learn that's a bicycle, that's a potential hazard, we need to slow down now. All of this was done visually without having to feed data into the model. Digital science kind of works pretty similar, right? It's visual, going into our subconscious cognition in the right environment. We learn so much more than we realize through our eyes than necessarily by what we're told to read and think about.