Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we're a technology company building a global logistics platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250 cities. Our apps (iOS and Android) have the industry's highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In November 2021 Wolt and DoorDash announced we're joining forces, and the transaction is expected to close in H1 2022. At Wolt, we're about getting things done.

About Hipcamp Hipcamp unlocks access to private land, creating new places for people to get outside and go camping, glamping, or RV'ing. We believe that spending time in nature is essential to a happy and healthy human life, and we are deeply passionate about our mission to get more people outside. We are proud of the impact Hipcamp creates by making nature more accessible, providing income to support the protection of private land, and creating community across the urban rural divide. Hipcamp's mission is to connect people with the magic of the outdoors. We make Hipcamp successful by understanding our users and inspiring them to engage with our platform.

Machine learning--Machine learning is arguably the most commonly found manifestation of cognitive computing, so it's not surprising it's available in so many forms. There is both supervised and unsupervised machine learning (the former of which requires human intervention and the latter of which learns on its own, according to Nanduri), as well as that centered upon automation and that centered upon recommendations. "When we think about how we're going to build machine learning into a workflow, we try to think hard about whether this is a recommendation problem or an automation problem," Eliot Knudsen, data science lead at Tamr (tamr.com), "It's a little subtle but tends to be important in framing the work we do." Deep learning--Deep learning and neural network techniques bear similarity to machine learning ones yet involve a degree of inferences and learning by examples--rather than in accordance with training based on predefined rules--that creates a profound difference.