I think we're faced with both a challenge and an opportunity, a challenge given that we produce so much more data right now, given all the sensors that exist and proliferate in the world. So the universe of data is expanding. At the same time, it's become an increasingly hard to collect it and parse it for insight. But this is where technology comes in, as it can help anyone who either makes decision or informs decision to collect data and parse through it in a more efficient manner. And I think that's where the field of technologies that support open source research will have in essentially increasingly helping consumers to collect, parse, analyze, synthesize in a more efficient way. Yes. It must be the hard part. I think there are challenges at each step of the process, both collection, processing, analysis, synthesis of data. And for example, at vertical knowledge, we focused on the collection side and collecting on behalf of customers, some of the hardest to get data sets, which customers can then use to plug in their analytical pipelines and do the parsing and analysis as they see fit. But yes, I think the increasing challenge will be how to parse data and how to connect it with a very specific workflow that each company uses. I see. I think the geopolitical crisis will become increasingly a convergence of security events, financial market events, technology given the prominence of the supply chain question in the geopolitical crisis of today. As we discussed in the panel, the question of, let's say, microelectronics supply chains and their importance for the defense industry matter tremendously in this war. They matter also for other questions such as US China competition. So I think increasingly so, we'll need to have platforms and team of experts that can look at all angles, but also technologies that can get data from multiple parts of the data universe to help us bring it together.