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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

A hands-on guide to work with MindSpore on Kubeflow

Looking at the report that Gartner did in 2022 regarding top technology trends, AI engineering represents an important pillar in the near future. It is composed of three core technologies: DataOps, MLOps and DevOps.The discipline’s main purpose is to develop AI models that can quickly and continuously provide business value. For instance, models that enable cross-functional collaboration, automation, data analysis, and machine learning.

The Power of Metrics - Monitoring Battery Life, Connectivity, Power Consumption & More

Once embedded devices are shipped, engineers have limited visibility into their devices. If you want to detect and resolve issues in production quickly, your team needs to implement device metrics. Metrics are a powerful yet simple way to monitor countless IoT devices, leading to quicker issue resolution and better decision-making. In this webinar, Memfault Co-Founder Tyler Hoffman discusses the importance of metrics and how you can use them to build more reliable IoT devices.

5 API Security Best Practices to Protect Sensitive Data

API is short for Application Programming Interface. The software-to-software interface provides a secure and standardized way for systems to work with each other. API security means implementing practices that protect APIs from malicious attacks and data theft. Thanks to APIs, applications can deliver the information or functionality requested without user intervention. This means our everyday digital experiences remain virtually effortless.

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What Is MLOps? Machine Learning Operations and Its Role in Technology Transformation

Across all industries, businesses are investing in applications and services powered by artificial intelligence (AI) and machine learning (ML) to boost productivity and gain a competitive advantage.