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AI-First Supply Chain Management
Supply chain managers, executives, and businesses seeking AI-powered solutions to optimize planning, operations, and decision-making across the supply
Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
MDG for Sparx' Enterprise Architect to Create TRAK arch. descriptions
Custom add-in (MDG technology) for Sparx Systems Enterprise Architect UML modelling tool (https://sparxsystems.com/products/ea/index.html) to create architecture descriptions using TRAK https://sf.net/projects/trak
Provides:
- the set of TRAK views that can be represented using UML and SysML . Each view display a custom toolbox palette with the objects and relationships that are needed for that TRAK view
- relationships can be made directly from the objects on a view using the...
Runes is a plugin-based framework that reverses the way of thinking about data processing: specify data accesses, and Runes will automatically choose an efficient representation for the data and execute the plugins to integrate it from different sources.
Inventors: Validate Your Idea, Protect It and Gain Market Advantages
SenseIP is ideal for individual inventors, startups, and businesses
senseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.