Martin Heller

Contributing Editor

Martin Heller is a contributing editor and reviewer for InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. More recently, he has served as VP of technology and education at Alpha Software and chairman and CEO at Tubifi. Disclosure: He also writes for Hewlett-Packard’s TechBeacon marketing website.

Review: Document parsing in AWS, Azure, and Google Cloud

Google Cloud AppSheet review: No-code with extras

Google Cloud AppSheet review: No-code with extras

Google’s easy no-code app builder lets you add functionality with spreadsheet formulas and expressions, and even apply machine learning models.

Power Apps review: Sweeter than Honeycode

Power Apps review: Sweeter than Honeycode

Much more than a no-code builder, Power Apps lets you add functionality with Excel-like formulas, easily connects to external data sources, and integrates with Power Automate for flow editing and Power BI for data analysis.

Review: GitHub Copilot preview gives me hope

Review: GitHub Copilot preview gives me hope

The Copilot technical preview doesn’t always generate good, correct, or even running code, but it’s still somewhat useful. Future versions could be real time-savers.

The best open source software of 2021

The best open source software of 2021

InfoWorld’s 2021 Bossie Awards recognize the year’s best open source software for software development, devops, data analytics, and machine learning.

Amazon Honeycode review: No-code has its limits

Amazon Honeycode review: No-code has its limits

Amazon’s no-code app builder makes quick work of creating simple apps and integrations. Creating useful ones will require help from a programmer, a DBA, or IT.

How to choose a cloud IoT platform

How to choose a cloud IoT platform

Your cloud IoT platform must monitor IoT endpoints and event streams, analyze data at the edge and in the cloud, and enable application development and deployment.

Explainable AI explained

Explainable AI explained

Someday machine learning models may be more ‘glass box‘ than black box. Until then, explainability tools and techniques can help us understand how a black box model makes its decisions.

Review: Google Cloud Vertex AI irons out ML platform wrinkles

Review: Google Cloud Vertex AI irons out ML platform wrinkles

Vertex AI greatly improves the integration of Google Cloud’s AI/ML platform and AutoML services, combining a new unified API with very good modeling capabilities.

What is vector search? Better search through AI

What is vector search? Better search through AI

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

PlanetScale review: Horizontally scalable MySQL in the cloud

PlanetScale review: Horizontally scalable MySQL in the cloud

Vitess-powered PlanetScale scales to hold as much data as you need, but is currently limited to a single cluster.

What is a data warehouse? The source of business intelligence

What is a data warehouse? The source of business intelligence

Enterprise data warehouses are comprehensive structured data stores designed for analysis. They often serve as the data sources for BI systems and machine learning.

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