Michele Launi
Roma, Lazio, Italia
780 follower
Oltre 500 collegamenti
Esperienza
Formazione
Licenze e certificazioni
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Project Management Professional (PMP)®
Project Management Institute
Emissione:ID credenziale 2875797 -
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Microsoft Certified: Azure Data Fundamentals
Microsoft
Emissione: Scadenza:ID credenziale I427-6665 -
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First Certificate in English (FCE)
Cambridge English Language Assessment
ID credenziale 103IT0103005
Pubblicazioni
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How to Assess and Improve Your Data Integration Maturity
Gartner
Data integration is central to data and analytics, and yet its maturity level is often low. D&A leaders can use the comprehensive model provided in this research to objectively assess their organization’s data integration maturity, and strategically manage and improve it.
Altri autoriVedi pubblicazione -
6 Lessons Data Leaders Can Learn From the Early Adopters of Data Mesh
Gartner
Data mesh is popular for its decentralized data management paradigm, but many struggle with the organizational aspects and are hesitant to alter their existing data architecture. Six lessons from Gartner client experiences can help data and analytics leaders succeed in their data mesh initiatives.
Altri autoriVedi pubblicazione -
Data and Analytics Essentials: How D&A Leaders Can Accelerate Data Mesh Adoption
Gartner
Data mesh is an emerging operating model for data management that aims to decentralize data delivery and support business-driven D&A initiatives. The attached presentation helps data and analytics leaders understand data mesh fundamentals and successfully adopt data mesh across their organization.
Altri autoriVedi pubblicazione -
Critical Capabilities for Data Integration Tools 2023
Gartner
Data integration tools address a wide range of use cases that rely on both core and emerging capabilities. Data and analytics leaders can use this research to identify vendor products’ relative strengths and select the right tools in support of their broader data integration needs.
Altri autoriVedi pubblicazione -
Magic Quadrant for Data Integration Tools 2023
Gartner
The data integration tools market is thriving due to upcoming requirements for data fabric architectures and data product delivery, as well as the need for integrated data to support GenAI. Data and analytics leaders should use this research to evaluate suitable data integration vendors.
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Progetti
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Reasoning on the Whole Structure of Buildings using a Logical Relational Learning Framework
Semantic mapping for autonomous mobile robots includes the place classification task that associates semantic labels (like ‘corridor’ or ‘office’) to rooms perceived in an environment. The mainstream approaches are characterized by local reasoning, where only features relative to the neighbourhood of each room are considered in the process of classification. In this thesis, we propose a method that enables global reasoning on the whole structure of buildings. We use a statistical relational…
Semantic mapping for autonomous mobile robots includes the place classification task that associates semantic labels (like ‘corridor’ or ‘office’) to rooms perceived in an environment. The mainstream approaches are characterized by local reasoning, where only features relative to the neighbourhood of each room are considered in the process of classification. In this thesis, we propose a method that enables global reasoning on the whole structure of buildings. We use a statistical relational learning framework, called kLog. We represent each floor of a building as a graph, where each node is a room and is associated to a set of features and to a semantic label and edges represent doorways. We provide software tools to create realistic datasets, based on real-world floor plans. We assess the utility of our approach in three applications: semantic labeling of rooms, classification of entire floors of buildings, and validation of simulated datasets. The last two applications cannot be easily addressed by classical local semantic mapping methods. In this thesis we demonstrate that the three tasks are achievable using our global approach.
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An Agent-Based Algorithm for Dynamic Maximum Coverage
A distributed solution that solves the maximum coverage problem in a dynamic or noisy environment.
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Robotics&Design@Polimi
Mr.Polpo: a robotic toy for children (6-10yo) built in a multidisciplinary team of designers and engineers.
Altri creatoriVedi progetto
Lingue
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Inglese
Conoscenza professionale completa
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Spagnolo
Conoscenza base
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