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What is Generative AI?
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Generative AI Landscape and Tech Stack
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CI/CD Best Practices for Reducing App Cycle Time
This article discusses the importance of implementing CI/CD best practices for project managers to reduce app cycle time. It emphasizes the optimization and automation of the software development process, from building to testing, deploying, and releasing. It also highlights the benefits of continuous integration, which results in faster delivery and reduces development costs. The article provides practical advice on the deployment pipeline, version control, and automated testing. It stresses the need for reliable release processes and configuration management strategies. The article concludes by outlining key best practices, such as automating infrastructure provisioning, integrating security testing, and providing quick quality feedback.
Bluetooth Location Tracking: Business Benefits and Implementation.
Bluetooth location tracking enables businesses to track assets and people, improve business processes, and create new products and services. Krasamo offers implementation services for real-time location systems (RTLS) using Bluetooth technology, which can provide highly accurate positioning data. With the ability to track assets and people in a facility, businesses can improve inventory management, indoor navigation, and more. Krasamo’s expertise in hardware, software, and firmware design allows for the development of location platforms and services for various IoT applications, including home automation, industrial use cases, and supply chain management. Bluetooth’s market penetration, global radio channels, and cost-effectiveness make it a popular choice for location tracking.
DataOps: Cutting-Edge Analytics for AI Solutions
DataOps is an essential practice for organizations that seek to implement AI solutions and create competitive advantages. It involves communication, integration, and automation of data operations processes to deliver high-quality data analytics for decision-making and market insights. The pipeline process, version control of source code, environment isolation, replicable procedures, and data testing are critical components of DataOps. Using the right tools and methodologies, such as Apache Airflow Orchestration, GIT, Jenkins, and programmable platforms like Google Cloud Big Query and AWS, businesses can streamline data engineering tasks and create value from their data. Krasamo’s DataOps team can help operationalize data for your organization.