Applying Satellite Imagery to Different Markets  

With the rise of on-satellite data processing technology, satellite imagery is becoming increasingly accessible. On Episode 15 of The Satellite & NewSpace Matters Podcast we were joined by Jakub Dziwisz, CEO and founder of Orbify, to talk about Orbify’s platform and the marketplace for Earth intelligence applications. Jakub’s background is in software engineering, giving him some great perspectives into the application of satellite imagery, which he shared with us on the podcast. 

“In general, there is a great potential across a variety of vertical threads. Forestry management has some untapped potential. Similarly, when it comes to farming and marine monitoring there is a huge amount of work that could be done. Satellites can also be used to create smart cities and monitor air quality. There are five satellites collecting a lot of useful information about air pollution and air quality at present. 

To give you an example, last October I was in San Francisco attending the Geo for Good Conference by Google, and I talked to the person who worked for Copenhagen municipalities on air quality analysis. In Copenhagen they realised that 10% of citizens are dying due to diseases caused by poor air quality, and Copenhagen isn’t one of the most polluted cities. They decided to do something about it to try to revitalise the city, and based on an analysis that was made, they found that certain areas of the city are more polluted. So, they put domes in their parks so that people could spend time outside under those and be shielded from poor air quality. They did the same for bus stops to help people inhale less pollution. At the same time they built playgrounds in cleaner areas to encourage people to congregate there and spend more time in the clean air spots. 

That’s a great example of how municipalities and local governments can take advantage of Earth observation to revitalise their city. The downside of the story is that building that analysis took them two months with RBI, whereas that’s something you can do in two hours with current technology. More local governments could take a look at what’s happened in Copenhagen and take actions too.

There is a lot of space for improving how we use data to react to crisis situations and emergency responses. It’s already starting to happen, but I think that there is a lot more scope for development. To go back to the forest monitoring vertical, we can do much more if we build solutions that can be used by citizens to understand what is happening in the environment around them. 

I can give you an example from my neighbourhood. I’m living in a relatively green area of Krakow, where one local businessman bought a parcel of land and started doing some weird transformation. He cut all the trees down and brought in some heavy machinery to remove mounds that were over there. He’s devastating the terrain. Now no one is able to stop him. If we gave these observation tools to normal people we could see that something unwelcome is happening in the neighbourhood and stop it before it goes too far. Normal people are just trying to understand what’s happening around them.”

To learn more about what’s happening in the Earth observation sector, tune into The Satellite & NewSpace Matters Podcast here

We sit down regularly with some of the biggest names in our industry, we dedicate our podcast to the stories of leaders in the technologies industries that bring us closer together. Follow the link here to see some of our latest episodes and don’t forget to subscribe.     

Cyber Security and AI: Insights from David Stapleton

AI has been sweeping the internet for months since the release of Chat GPT 3. As the world looks at the implications of these powerful new AI models, the cyber security industry is no exception. On Episode 17 of The Cyber Security Matters Podcast we spoke to David Stapleton, the CISO at CyberGRX, who we met at the RSA conference. With over 20 years of experience in business administration, cyber security, privacy and risk management, David has a unique expertise that makes him the perfect person to share insights on the relationship between Cyber Security and AI. Read on to hear his thoughts! 

A lot of attention has been paid to AI – with good reason. I have this mental model where if my mother is aware of something that’s in my field, that’s when it’s really reached the public Zeitgeist. When she asked me a question about the security of AI, I knew it wasn’t a niche topic anymore. 

Artificial intelligence is an interesting phenomenon. Conceptually, it’s not that different from any other rapid technological advancement that we’ve had in the past. Anytime these things have come up, the same conversations have started to happen. With the advent of cloud there was a real fear that was sparked – particularly in the cybersecurity community – around the lack of control over those platforms. We had to trust other people to do the right thing. How do I present that risk to the board and get their approval for that? Maybe it’s a good financial decision, but we are introducing unnecessary risks. 

Another example of that may have been the movement towards Bring Your Own Device (BYOD) and allowing people to connect their personal devices to company networks and data. That sounds terrifying from a security perspective, but you can see how that opens the door to increased productivity, efficiency and flexibility. 

AI is not too dissimilar from that perspective, and we can see plenty of positive aspects to the utilisation of artificial intelligence. It’s a catalyst for productivity which could provide exposure to multiple different data points and bring together salient insights in a way that it’s hard for the human mind to do at that kind of a speed. It can also reduce costs, bring additional value to stakeholders and potentially help companies gain competitive advantages. 

Conversely, there are potential risks. It is such a new technology, and we’re still learning about how it works as we’re using it. There’s a lot of questions from a legal perspective about the ownership of the output of different AI technologies, particularly with the tools that produce audio visual outputs. The true implementation and impact of that isn’t going to be known until the courts have worked those details out for us. 

We’re in a position now where some companies have taken a look at AI and said, ‘We don’t know enough about this, but we feel the risk is too great, so we’re going to prohibit the utilisation of these tools.’ Other companies are taking the exact opposite approach: ‘We also don’t know a whole lot about this, but we’re going to pretend this problem doesn’t exist until things work themselves out.’ 

At CyberGRX we’re taking a middle of the road approach where we’re treating AI models as another third party vendor that we’re using for work purposes. We’re going to share access or data with that tool, but we need to analyse it from a security risk and legal risk perspective before we approve its utilisation. That’s a fairly long-winded way of saying that there are amazing opportunities for AI but there are risks. 

We’ve already seen threat actors starting to use artificial intelligence to beef up their capabilities. You could understand logically how artificial intelligence gives a fledgling or would-be threat actor the ability to get in the game and take action sooner than they otherwise would be able to. When Chat GPT first was released to the public, the very first thing that I put into it was ‘Write a keylogger in Python’. That’s a little piece of malware that will log your keystrokes and collect things like passwords or credentials. It just did it. It was there on the screen as a perfectly legitimate piece of software. Since then they’ve tightened the controls, but there was a time when someone with bad intent could start producing different types of malicious software without even learning to code.

To learn more about the uses of AI in Cyber Security, tune into The Cyber Security Matters Podcast here

We sit down regularly with some of the biggest names in our industry, we dedicate our podcast to the stories of leaders in the technologies industries that bring us closer together. Follow the link here to see some of our latest episodes and don’t forget to subscribe.     

Inside Media Supply Chains

The Content and Media industry is a diverse and developing space. On Episode 18 of The Content & Media Matters Podcast we spoke to Taylor Riese, Vice President of Strategic Sales for Signiant. With an impressive career at prominent companies such as Verizon Media, Taylor has a wealth of insights into the Content and Media industry. We spoke to him about the development of supply chains within the sector. 

What are your thoughts on why media supply chains have become more complex, and what does that mean for the industry?

The real question is should they have become more complex? We’ve been standardising supply chains, workflows, etc, but in the process we’ve accidentally made things unnecessarily complex. The art of the possible has been explored very well within the media industry. A lot of the time that leads to complex solutions rolling out – with good intentions, of course – which are not always suited to the industry as it is. That complexity creates diminishing returns and precludes you from doing other things. We have a lot of exciting technology at our fingertips, and sometimes it’s hard not to give it a try.

How do you see AI being used when it comes to the content exchange?

AI does such a good job of cataloguing what your content is, transcribing it and telling you what content sits where that you don’t even have to go in and watch the video. There are tons of other potential use cases where AI will be used to decipher or guesstimate what content will be useful for viewers in other regions or languages. In terms of content exchange, AI is going to be helpful for facilitating intercompany movement. We can go into meetings saying ‘We’ve indexed our entire back catalogue, and we’ve got this stuff that we think can be useful to your viewers’ and moving things that way. The same thing goes for the creation of new content, because AI can help you better understand your audience.

Data analytics and metadata are key talking points at the moment. What role do you think they will play when it comes to the media supply chain?

AI is analysing that metadata now. We’re constantly doing things to make metadata capture easier. It’s incredibly important. Having best practices in place for capturing and recording the metadata and making sure it gets put in the right places at the right times is essential. We’re almost forcing that behaviour to make things easier. Having that data will make things easier in 10-15 years, but it also makes things easier in the interim. It saves time and headaches. The more you can do on that side, the easier it is to establish what you have, know where it is and understand what to do with it.

To learn more about the content and media industry’s supply chains, tune into The Content & Media Matters Podcast here

We sit down regularly with some of the biggest names in our industry, we dedicate our podcast to the stories of leaders in the technologies industries that bring us closer together. Follow the link here to see some of our latest episodes and don’t forget to subscribe.     

The Importance of Diverse Teams

Diversity is one of our core topics on The Content & Media Matters Podcast. On Episode 17 we were delighted to discuss it with Mark Billinge, who is a Technology & Operations Consultant with a background in the video and media industry. With nearly 30 years in the sector, Mark has a wealth of insights when it comes to how the industry has progressed in terms of diversity, which we explored on the podcast and here. 

How have you seen diversity and inclusion addressed over the course of your career, and why is it important for companies to get it right? 

In the Middle East we had huge diversity in our team. That was one of the things that really made it so fun and exciting, because the team was made up of people from different cultures and ethnicities all around the world. It was a really rich mix. Having many different voices, opinions and backgrounds in a team is a good thing, because different points of view give you a better understanding of a subject, so you can do better work. Having that diverse team helped us deliver. 

Is there anything you would still like to see change around diversity and inclusion?

I think a lot of progress has been made over the last few years, but there are still areas for improvement. One topic that’s been in the news for the last few weeks is the cost of childcare. It raises the question, how do you support young families and young mothers get back into work? There’s obviously an economic side to it, but it’d be great to see companies look at how they can support people with their childcare. That could mean offering daycare in the workplace or making it easier for mums to return to work after a career break. My wife took a long break after having the children, and she’d now like to get back into work. She’s finding it harder than we expected to get back in after an extended break. Companies need to consider people who have had extended breaks and the value they can bring. 

To learn more about diversity in the Content & Media industry, tune into The Content & Media Matters Podcast here

We sit down regularly with some of the biggest names in our industry, we dedicate our podcast to the stories of leaders in the technologies industries that bring us closer together. Follow the link here to see some of our latest episodes and don’t forget to subscribe.