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Leveraging AI and Workflow Automation in Manufacturing

Argon Digital

Business Processes Improved by AI The implementation of AI can transform various business processes in manufacturing, including: Production Planning : AI algorithms can optimize production schedules, taking into account factors such as machine availability, workforce capacity, and material availability.

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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

Modern methods of software development take a more systematic approach to testing, in accordance with the IBM Rational Unified Process (RUP). You have to plan what you want to do. A product design and development company monitors the testing activities, reports the progress of testing and the status of the software within the test.

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6 People, 26 Companies, and 65 Products Awarded for Excellence in Artificial Intelligence

Bintelligence

Finalists include: alva, AMC Health, BigID, BrightAI, Canvass AI, ContractPodAi, DataForce, DataProphet (Pty) Ltd, Deeplite, Dstillery, EPAM DEPS, IBM Sterling Fulfillment Optimizer, IQVIA NLP Data Factory, Kanverse.ai, Deloitte Smart Factory Product Suite, SupportLogic, Talkdesk AI Trainer, TechSee's Technician Job Verification and Unsupervised.

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

And that is only possible when common mistakes while implementing predictive analytics are avoided. Doing this will ease your task and help you better understand what is expected from the project implementation. . Below are some of the common issues which you can address by implementing predictive analytics: Revenue Forecasting .

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How to Become EDI Capable + A Case Study

Astera

An EDI capable business is always ready to incorporate changes swiftly to maintain seamless communication channels. A business becomes more EDI capable as it integrates EDI with its other critical systems, such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM) systems.

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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Error Handling and Monitoring: Mulesoft provides error handling and monitoring capabilities for quick issue identification and resolution. Unified reporting console for streamlined monitoring.

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Which Machine Learning Certification is Best for You?

Whizlabs

The construction of a machine algorithm is a model based on sample data also known as training data or data sets to make predictions or decisions without explicit planning. Monitoring, optimizing, and maintaining machine learning solutions. Is Whizlabs planning to include Google cloud ML certification in future?