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AutoDev: Automated AI-driven development by Microsoft

Hacker News

However, existing solutions are not leveraging all the potential capabilities available in an IDE such as building, testing, executing code, git operations, etc. These AI agents can perform diverse operations on a codebase, including file editing, retrieval, build processes, execution, testing, and git operations.

AI 102
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Future-Proof Your IBM AIX and IBM i Systems with Cloud-Based Data Protection

Precisely

Key Takeaways: Cloud-based High Availability Disaster Recovery (HA-DR) solutions enhance operational efficiency, leveraging automation to streamline recovery processes and reduce downtime expenses. Are you considering leveraging the cloud alongside your existing IBM AIX and IBM i systems infrastructure?

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Top 5 marketing automation tools for Shopify websites in 2024

Dataconomy

With the surge in online shopping and the proliferation of Shopify websites, the significance of efficient marketing automation tools cannot be overstated. If you find yourself searching for a dependable marketing automation solution, you’re in the right place.

Analytics 184
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10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

Companies are increasingly seeking professionals who can not only develop AI solutions but also ensure these solutions are practical, sustainable, and aligned with business goals. These advancements are not just theoretical; they have practical applications that are reshaping how engineers solve problems and design solutions.

AI 195
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What are Breach and Attack Simulations?

IBM Journey to AI blog

Breach and Attack Simulation (BAS) is an automated and continuous software-based approach to offensive security. However, unlike red teaming and pen testing, BAS tools are fully automated and can provide more comprehensive results with fewer resources in the time between more hands-on security tests.

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MLOps: A complete guide for building, deploying, and managing machine learning models

Data Science Dojo

ML models have grown significantly in recent years, and businesses increasingly rely on them to automate and optimize their operations. This approach requires automating as much as possible to ensure consistent and reliable results. Automation : Like DevOps, MLOps stresses the importance of automation throughout the ML lifecycle.

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5 strategies for data security and governance in data warehousing: ensuring data protection and compliance

Data Science Dojo

M aintaining the security and governance of data within a data warehouse is of utmost importance. Data Security: A Multi-layered Approach In data warehousing, data security is not a single barrier but a well-constructed series of layers, each contributing to protecting valuable information.