Dr. Catherine Corrigan
Analyst
Yeah. Thanks, Josh. So first on the reactive side. Look, I mean, we see the increasing complexity that is coming around products as a real driver of that reactive work. I did give the example around advanced driver assistance systems. As artificial intelligence is incorporated even more into products and making those decisions, it could be an automated vehicle, it could be a wearable device that’s giving signals about human health, it could be an AR or VR or mixed reality device that’s making decisions as well, whether that’s around employee training or various things. And so we are positioning ourselves at the forefront of those questions through our research and through the professional development of our teams. And so we don’t think this is necessarily a blip in our -- in the growth and our reactive work. We think that portfolio has very, very strong market drivers. That in addition to the opportunities for expansion internationally around disputes, changes in the landscape in the EU around product recalls and those frameworks and so we really are optimistic about the growth potential for that side of the portfolio. On the proactive side, we did talk about some of the moderation that’s happened. We have got strength in a number of areas, growth around the regulatory side and agricultural chemicals, for example, growth on the pharma side in life sciences, but the electronics industry, that is a place where there is some moderation and a couple of factors that are weighing into that. There was some disruption caused by the layoffs that impacted the flow of work in electronics, layoffs in the industry. This is groups that are having to reconfigure and stabilize. That takes a couple of quarters to sort of work its way through. We are seeing signs of that stabilizing, that workflow starting to come back through. But some of our -- like our data collection work, our human subject work, these are impacted in the near-term by the product life cycle. It’s where our clients are in that product life cycle. There can be a big push in the development phase and a big product launch and then that goes into the refinement phase and it can ebb and flow because of that. We see these clients also managing their budgets a little more tightly, which isn’t surprising. So we are seeing -- we are expecting that over the next couple of quarters. We saw it in Q2, and probably, we will see it over a couple more quarters. But long-term, this focus that society has on the quality of the data that’s driving and training AI algorithms and the quality of the decisions it’s making, and the competitive landscape in that industry. That all makes us feel good in the long-term about these kinds of offerings that we have, and of course, we will continue to evolve those offerings to really capture what we think is a good long-term opportunity.