Operations | Monitoring | ITSM | DevOps | Cloud

I had the pleasure to be invited by Canonical’s AI/ML Product Manager, Andreea Munteanu, to one of the recent episodes of the Canonical AI/ML podcast. As an enthusiast of automotive and technology with a background in software, I was very eager to share my insights into the influence of artificial intelligence (AI) in the automotive industry.

According to Statistia, the total number of data breaches reached an all-time high of 3,205 in 2023, affecting more than 350 million individuals worldwide. These breaches primarily occurred in the Healthcare, Financial Services, Manufacturing, Professional Services, and Technology sectors. The mishandling of sensitive log data provides an on-ramp to many of the most common attack vectors.

With more developers working remotely, traditional code reviews have begun to shift. Classic water cooler conversations have turned into pings on Slack, and collaborative office spaces have transformed into stand-alone home setups. Remote work clearly has many advantages, but it can also leave developers feeling isolated. Asynchronous communication introduces massive bottlenecks for efficient feedback and creative brainstorming, particularly during code reviews.