Makersite
Carrie Medcalf possesses extensive experience in talent acquisition and sales, currently serving as a Talent Acquisition Specialist and Sales Assistant at Makersite since August 2022, and previously as a Talent Acquisition Specialist and Resourcing Assistant at rebuy recommerce. From April 2020 to August 2021, Carrie worked as a Freelance Consultant at Ocean Gorge Seafront Accommodation, overseeing staff management and guest satisfaction. Earlier roles include Sales Executive at EFAM Exhibitions and Key Account Manager at both GL events and Akacia Medical and Healthcare Group, where responsibilities encompassed exhibitions, events, and design project management. Carrie also has entrepreneurial experience as the owner of Body Matrix and Persona Hair, managing staff, clients, and marketing initiatives. Additionally, experience at Wella Company as Key Accounts and Marketing Manager further highlights Carrie's versatility in roles involving client relations and marketing strategies.
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Makersite
Makersite is a cloud-based product data management tool that helps companies manage product sustainability, cost, and compliance. Product life cycle management involves making design decisions based on multiple criteria including cost, compliance, sustainability, and risk. Unfortunately, the data and expertise required to make these decisions aresiloed. This protracts the process of innovation and increases its complexity. Today, the market solves this problem with vertical applications like PDM, ERP, CAD, EHS, SCM, etc. These mostly remain siloed due to the enormous costs of integration and keeping data synchronized. Therefore, analyses typically require exporting data to aggregation tools e.g. BI or excel before being used for analyses in specialist decision support applications. Results are typically delayed, some taking as much as 9 months, and therefore provide little support during the design process. Makersite provides results instantly and simultaneously across key product criteria.Makersite combines external and internal data sources to create a digital twin of a product in design. Artificial intelligence and its graph-based data model allow for ingesting, representing, and connecting heterogeneous data easily. Its native applications use algorithms to support analysis and decision-making based on multiple criteria simultaneously including should-costs, regulatory compliance, life cycle impacts (LCA), supply chain risk, etc. The API-first architecture allows for easy integrations into existing IT infrastructures thereby supporting systems and processes with richer, fresher, and more timely product data.This allows engineers to understand and improve their designs from the perspective of their regulatory compliance, environmental impact, supply risk, and cost of production, simultaneously. Companies can get results up to 40x faster than traditional methods while making their products better.