El panorama del comercio electrónico
LIDD publicó recientemente un artículo con la oficina de IOS en México sobre "El panorama del comerc...
By Mathieu Galipeau & Sabina Sasu
December 13th | 5 min read
We recently discussed how AI modelling in supply chain management is helping businesses build resilient supply chains and better manage risks. However, they also face a fundamental challenge: effectively managing vast amounts of data. Data duplication and complex infrastructure can hinder the effectiveness of AI modeling. Fragmented systems, data silos, and inconsistent formats often pose significant obstacles, making data unification and governance an arduous task.
At LIDD, we understand the challenges that organizations commonly encounter when it comes to data analytics. Limited visibility, complex data integration, and the need for actionable insights are all pain points that impede operational efficiency and decision-making capabilities.
Microsoft Fabric and Microsoft Power Platform are powerful tools that help organizations optimize their data potential in the AI era.
Microsoft Fabric, built on the foundation of Microsoft’s three main Data Analytics products – Power BI, Azure Data Factory, and Synapse – offers a comprehensive solution for data analytics. These integrated components provide a robust and reliable platform, handling complex data analytics requirements.
But that’s not all. Fabric goes a step further by introducing an innovative component called OneLake. This tool brings advanced data science capabilities while simplifying data management. OneLake eliminates the complexities of data infrastructure and duplicated data, providing a single source of truth for organizations. As a result, data unification and governance become seamless, providing organizations with the knowledge they need to make informed decisions.
We encounter various data challenges when working with our clients and understand the complexity of challenges they face. These challenges can impede operational efficiency and decision-making capabilities. Moreover, they pose a prevalent challenge of limited visibility and transparency of data across the supply chain network. Consequently, this lack of clarity leads to a lack of insights into inventory levels, demand patterns, and supplier performance. Another obstacle is the integration and consolidation of data from diverse sources, including ERP systems, IoT devices, and external partners, which can be intricate and time-consuming.
Power Platform is a suite of low-code tools developed by Microsoft that empowers organizations to build custom applications, automate processes, and create AI-driven chatbots. Comprised of Power Apps, Power Automate, and Power Virtual Agents, Power Platform offers a comprehensive solution for businesses seeking to enhance their application development and workflow automation capabilities.
Key Features of Power Platform:
At its core, Power Platform effectively eradicates the conventional obstacles associated with application development by enabling users with varying technical expertise to build applications without significant coding knowledge. This democratization of app development empowers organizations to swiftly innovate, adapt, and tailor solutions to meet their specific requirements, while harnessing the full potential of their data.
A particularly noteworthy component of Power Platform is AI Builder, which enables organizations to seamlessly integrate artificial intelligence into their processes, thereby augmenting operational efficiency and facilitating valuable insights. By predicting demand, automating document processing, and optimizing workflows, AI Builder equips businesses with the ability to leverage AI models without necessitating extensive technical proficiency.
Learn more about the power platform here:
Enhancing Warehouse Operations with Microsoft’s Power Platform | LIDD
Microsoft Fabric and Power Platform are essential tools for leveraging AI modeling in supply chain management.
Microsoft Fabric, with its robust backend capabilities, is instrumental in managing the vast amount of data required for AI modeling in the supply chain. For example, handles and integrates data from various sources, including IoT sensors, inventory systems, transportation data, and customer demand information. It streamlines data integration and provides real-time analytics, enabling organizations to collect, store, and preprocess data for AI modeling.
Similarly, Power Platform complements Microsoft Fabric by allowing users to create custom applications, automate processes, and leverage AI-driven insights. By accessing and utilizing the data stored in Microsoft Fabric, organizations can turn it into actionable insights and make informed decisions.
The integration between Power Platform and Microsoft Fabric is seamless. Users can link their Power Apps tables to Microsoft Fabric and utilize its capabilities within the Power Apps Maker Portal. This unified experience allows users to effortlessly harness the power of both tools.
By combining the strengths of Power Platform and Microsoft Fabric, organizations can optimize supply chain management, improve efficiency, and make data-driven decisions. These tools empower businesses to stay competitive in today’s fast-paced business landscape through AI modeling and advanced analytics.
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