Executive Insights on Machine Learning in Software Development

Executive Insights on Machine Learning in Software Development

To learn about the current and future state of machine learning (ML) in software development, I gathered insights from IT professionals from 16 solution providers.

You may also like: Machine Learning in Software Development — Techniques and Tools

Here’s who I heard from:

The Scale, Speed, and Spend of Low Code: Benefits and Challenges of Low-Code Platforms
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Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. The relevance of low-code development is growing as businesses see... […]
Empowering Citizen Developers With Low- and No-Code Tools: Changing Developer Workflows and Empowering Non-Technical Employees to Build Apps
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Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, Low-Code Development: Elevating the Engineering Experience With Low and No Code. The rise of low-code and no-code (LCNC) platforms has sparked a de... […]
PostgreSQL BiDirectional Replication
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As you can understand from my previous blogs I am really into PostgreSQL. Previously we ran Debezium in Embedded mode. Behind the scenes, Debezium consumes the changes that were committed to the transaction log. This happens by utilizing the logical de... […]
Twenty Things Every Java Software Architect Should Know
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As the software development landscape continues to evolve at a rapid pace, Java stands out as a foundational language that drives a multitude of applications on a global scale. In 2024, the role of a Java software architect has assumed unprecedented si... […]
How To Plan a (Successful) MuleSoft VPN Migration (Part II)
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In this second post, we'll be reviewing more topics that you should take into consideration if you're planning a VPN migration. If you missed the first part, you can start from there. […]