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Articles by Joel Carusone
The AI gap nobody's talking about
Joel Carusone England's new policy on AI tools in education has spotlighted gaps that most organizations are quietly ignoring: the importance of AI literacy, critical thinking and careful analysis of its results. Despite AI's rapid advancements, training resources on proper, secure, and efficient AI use are still extremely limited. As an example, while prompt engineering plays a crucial role in enabling modern AI users, there's still a lack of education around this critical skill.
"It's undermining system reliability": Why AI workslop is the new technical debt
AI — 5 min read An AI slop image from ChatGPT showing a man viewing a famous AI slop image One third of AI-generated code is unusable without significant modification. That's the reality in fast-moving engineering environments. To describe this level of low-quality, AI-produced work proliferating across modern organisations, Harvard Business Review introduced the term "AI workslop" earlier this year.
How the Future of AI Regulations Will Shape Global AI Development
There’s a global divide in how countries are approaching AI regulation. While some governments are prioritizing deregulation to accelerate innovation, others are tightening rules to address growing societal concerns. The EU rolled out its AI Act late last year, categorizing risk, outlining ownership and responsibilities, and even prohibiting certain high-risk systems. Countries like Spain have gone a step further by establishing a singular AI governing board.
Joel Carusone
About the Author: Joel Carusone Joel Carusone is the Senior Vice President of Data and Artificial Intelligence at NinjaOne. A proven technical leader with an aptitude for innovation and success, Joel’s primary responsibility is to oversee research, development, and deployment of secure AI technology practices inside NinjaOne.
Smaller, safer AI models may be key to unlocking business value
Artificial intelligence (AI) I hasn’t just hit the big leagues; it is the big leagues. Over the course of 2025, AI was embedded into every workflow, leveraged across IT operations, and relied upon to build out a wide variety of content touching every corner of the web. In essence, large language models (LLMs) have taken centre stage, with businesses investing heavily in them to further autonomous gains. Users, for the most part, have been more wary of the power and limitations of AI.
Why Rushing AI Adoption Leads to Low-Quality 'Workslop'
Why Rushing AI Adoption Leads to Low-Quality 'Workslop' contributed, Image by Kira from Pixabay. New AI solutions continue to emerge, and models are steadily improving. Yet, despite the rapid pace of AI innovation, the technology still isn’t as advanced as many people believe. This gap is often due to misleading marketing, particularly around “agentic AI” operations, as well as human error and limited technical expertise.
How CIOs Can Navigate The Pressure And Possibility For AI
CIOs find themselves at a crossroads. The rapid advancement of AI has reshaped how businesses operate, with the adoption of AI taking place nearly twice as fast as the internet or personal computing did, according to a recent McKinsey report. This change brings fresh challenges for IT leaders. Unlocking AI’s value requires more than deployment; CIOs must ensure their company’s underlying technology environment is robust, secure, and scalable.
KI sollte ein Teil der Cybersicherheit sein
Laut Bitkom stieg in den vergangenen Jahren die Anzahl der Cyberangriffe auf die deutsche Wirtschaft beträchtlich, während gleichzeitig der IT-Fachkräftemangel weiterhin groß ist. Erschwerend kommen Zero-Day-Angriffe hinzu, denen IT-Teams allein wenig entgegenzusetzen haben. Das heißt: Unternehmen müssen mit weniger Ressourcen immer mehr Bedrohungen abwehren. Dies manuell zu tun, ist langsam und mühsam und führt langfristig nur zu weiteren Problemen. Dabei kann KI zum Einsatz kommen.
The CIO Mandate: Balancing Innovation and Resilience
As AI reshapes the workplace, the role of the CIO is entering a new phase. AI adoption is taking place nearly twice as fast as adoption of the internet and personal computers did and is placing new demands on IT departments. To realise AI’s potential, CIOs must build a robust, secure, and scalable environment. This means integrating AI while continuing to manage the complexity of an expanding tech stack, long standing skill gaps, and increasingly distributed teams.
How AI Automation Reclaims Developers' Time
Anyone who works in technology knows that AI is not a new concept. But whether you love it or hate it, now that the AI era is fully upon us, AI and automation will continue to play integral roles in the way that organizations and individuals operate, innovate, and grow. There are undoubtedly some risks that AI poses (there’s a reason why 71% of executives are worried about security risks associated with AI).
KI-Strategie: Herausforderungen und Chancen für CIOs
Newsletter Jobbörse Whitepaper Webinare Podcast Events Digitale Transformation Aktuelle Beiträge aus "Digitale Transformation " Cloud Computing Aktuelle Beiträge aus "Cloud Computing" Quantencomputing Aktuelle Beiträge aus "Quantencomputing" Security Aktuelle Beiträge aus "Security" Technologie Aktuelle Beiträge aus "Technologie" KI Aktuelle Beiträge aus "KI" Digital Health Aktuelle Beiträge aus "Digital Health" HR Aktuelle Beiträge aus "HR" Geschäftsstrategie Aktuelle Beiträge aus...
NinjaOne 2025 Predictions: Navigating the AI Landscape in 2025
Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive. By Joel Carusone, SVP of Data and AI at NinjaOne Since the launch of ChatGPT in 2021, generative AI has steadily evolved. Each year, the industry has shifted as we learn AI's benefits, risks, and use cases. In 2024, it was all about productivity - with many organizations using AI to help address IT skills gaps and developers leveraging it to augment software development.
Data for Good Gains Steam And Other 2019 Predictions
Looking back at what happened in marketing in 2018, we think of countless data blunders and the shake up of traditional marketing methods. One big trend? MarTech is taking over and claiming more budget at companies than ever before. As we near the end of the year, I’m taking stock of the industry trends I’ve observed and projecting which ones are here to stay and those that are most likely to taper off as time goes on.
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