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Marit joins the Google Cloud Platform Podcast and explains knowledge graphs in detail, emphasizing that they can reduce training of machine models, allow new data to be input easily, and make analyzing unstructured data much easier.
Strise fortsetter å finne kunder blant norske folkefinansieringsselskaper. Folkeinvest tar nå i bruk Strises AI-plattform for å effektivisere undersøkelsesplikten av nye kunder og luke ut alle hvitvaskingsforsøk.
A developer’s guide on how to make your life easier with Slack
Using the Strise Platform, FundingPartner are able to analyse large amounts of data related to their customers. External data such as risk signals, news, ownership structures and official announcements are automatically linked to their account base to support important decisions before making loans. This enables end users to make fast, informed decisions on which projects they should pursue and which companies show signs of risk that don’t fit the Funding Partner investor’s expected quality of opportunity.
An overview of how Strise tackle the Entity Linking problem.
De norske fintech-selskapene Axeptia og Strise inngår en partnerskapsavtale, der Strise skal levere oppdatert informasjon inn i Axeptias system for faktuaoppfølging.
De norske fintechselskapene Strise og Fundingpartner har funnet tonen. Nå skal Fundingpartner bruke plattformen til Strise for å få enda bedre kunnskap om selskapene som låner penger hos dem.
Å bruke kunstig intelligens for å strukturere jungelen av informasjonen på nettet er blitt gull verdt i dagens verden. Den norske startupen Strise klart, noe som har ført til stor interesse fra banker og investorer. Nylig hentet Strise inn 13 millioner kroner i en finansieringsrunde.
Marit joins the Google Cloud Platform Podcast and explains knowledge graphs in detail, emphasizing that they can reduce training of machine models, allow new data to be input easily, and make analyzing unstructured data much easier.
The backdrop of Strise’s mission to make the world’s information useful across the enterprise is our technological platform. This is how we made it.
At Strise, we strive to give our customers the best possible tools to tackle their everyday challenges...
Den norske AI-startupen Strise, som i fjor byttet navn fra Mito.ai, har hentet 13 millioner i en seed-runde ledet av det finske venturefondet Maki.vc.
Strise, a Norwegian AI startup that has built a data platform for enterprise financial institutions, has raised €1.4 million in seed funding to expand across Norway and into international markets.
IT-gründerne fra Skype, Supercell og F-Secure gjør sin første investering i Norge. Nå satser de 12 millioner pengene på AI-startupen Strise.
Vi har analysert konkursaktiviteten i AS Norge som følge av koronakrisen.
As part of our rebranding from Mito to Strise, we completely revamped the design of our product. The perfect opportunity to rethink our approach to component based design. This post will be about how leveraging component props in React can help you build reusable and extensible UI components for fit in a design system.
This post aims to explain how you can avoid explicitly passing variables to GraphQL API requests by instead utilizing the Apollo (GraphQL) Client, a custom Apollo Link and a modified Apollo Client cache. Our solution aims to solve the problem of having to explicitly pass a variable everywhere it is required by instead analyzing each GraphQL operation and including the variable only if required.
As we are starting to feel that the summer is coming to an end, so is the student interns of Mito.ai feeling that everyday life with assignments and exams is coming closer and closer. In this post, we will introduce the three last men of this year's internship program. Magnus, Yan and Erling.
At the end of this summer, we are launching our second version of Mito.ai: ”Dynamic Prospecting”. This leads to a big need for capacity over the summer. We are therefore stacking up with nothing less than 5 interns to make sure we reach our goals this summer. As we are placed a short walk from the Norwegian University of Science and Technology (NTNU), this is and will be our main recruitment arena. In this round, we will introduce two of our most novel peers, Jenny and Tollef.
Out of the millions of events happening every day, there’s only a handful that is relevant to your company. By combining the current state-of-the-art in NLP research with our AI-driven sales intelligence platform, we at Mito.ai have figured out a way to filter out the noise.
Can AI give us new insights?