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AutoML is not quite ready to replace data scientists or make machine learning a candidate for citizen developers, but it does simplify the creation of machine learning models and can enable rapid experimentation and prototyping, writes ISG's Cass Bishop in The AI Journal.

How AutoML Can Simplify ML Model-Building - The AI Journal Cass Bishop writes in The AI Journal that while AutoML is not quite ready to replace data scientists or make machine learning a candidate for “citizen developers,” it does simplify the creation of machine learning models and can enable rapid experimentation and prototyping.

ISG’s Iain Fisher tells ComputerWeekly the metaverse is not a priority right now for most employers, who have their hands full moving to a hybrid, flexible or remote working models. Instead, companies are upgrading systems, changing architectures and support models, making premises more collaborative, and adapting HR policies and management styles.

Hybrid working in the metaverse Few hot topics have attracted more headlines over the past year than hybrid work and the metaverse. Iain Fisher tells ComputerWeekly he's not convinced such a concept is likely to take off any time soon, although it could have a role to play in certain, predominantly creative, industries.

AI is performing well in back-end processing of security events, allowing for automation and speed of use-case development, but the linkage between analytics and action controlled by AI hasn't matured enough for wide adoption yet, says ISG’s Doug Saylors in Dark Reading.

Putting AI to Practical Use in Cybersecurity Almost every cybersecurity product has an AI component. Doug Saylors tells Dark Reading AI is performing well in back-end processing of security events, but the linkage between analytics and action controlled by AI hasn't matured enough for wide adoption yet