training

Why Hiring ‘AI Engineers’ Won’t Work

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The article argues that the role of an “AI engineer” is a myth because AI work encompasses diverse functions requiring different skills and mindsets. It outlines three essential AI engineering archetypes—prototypers, builders, and scalers—each focusing on distinct phases from rapid experimentation to production scaling, and emphasizes the need for companies to hire and assess talent based on these specific roles rather than expecting a single person to cover all AI responsibilities. This nuanced understanding is crucial for enterprises to build effective AI teams and avoid costly mismatches.

https://www.cio.com/article/4162080/why-hiring-ai-engineers-wont-work.html

Beyond Awareness: Human Risk Management Metrics for CISOs

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Traditional cybersecurity awareness training often fails to sufficiently protect organizations against increasingly sophisticated human-targeted cyber threats. Forrester Research advocates for a human risk management approach that leverages behavioral data to identify and mitigate risky employee actions through targeted interventions, fostering a security culture focused on measurable behavior change rather than mere training completion. This data-driven strategy enables CISOs to align security metrics with business goals and improve overall cybersecurity posture by addressing the root causes of human vulnerabilities.

https://www.techtarget.com/searchsecurity/tip/Beyond-awareness-Human-risk-management-metrics-for-CISOs

AI Isn’t Failing, People Are Failing With AI

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The article emphasizes that AI failures stem from improper application rather than from the technology itself, highlighting the importance of domain expertise and understanding model operations. It distinguishes between the effectiveness of models like BERT and GPT, advocating for a risk-based framework in deploying AI to manage industry-specific challenges and data utilization. Successful AI transformation relies on organizational fluency with technology and strategic planning.

https://www.cio.com/article/4135361/ai-isnt-failing-people-are-failing-with-ai.html

Skills Are Evolving Too Quickly for Current Training Cycles, Report Says

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IT skills are evolving rapidly, outpacing traditional training cycles, according to Info-Tech Research Group. IT workers' roles change every 18 months, but learning is often viewed as a benefit rather than essential. Many organizations treat training as a perk, leading to skill gaps. To stay relevant, learning must be integrated into daily operations. Workers express that training opportunities impact job retention positively.

https://www.ciodive.com/news/learning-skills-evolving-training-cycles-it-info-tech/812628/

Human Risk Management: CISOs’ Solution to the Security Awareness Training Paradox

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Security awareness training (SAT) is ineffective despite significant investment, as it focuses on knowledge rather than behavior. Human risk management (HRM), which focuses on changing employee behavior, is a more effective approach. HRM uses AI to personalize training, identify risky users, and provide targeted interventions, ultimately improving cybersecurity behavior and reducing incidents.

https://www.csoonline.com/article/4123230/human-risk-management-cisos-solution-to-the-security-awareness-training-paradox.html

Invest in the Workforce for the AI Age: a Blueprint for Scale, Skills and Responsible Growth

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Investing in workforce skills is crucial for harnessing AI's potential. Organizations must transform their workforces and operational models to create value from AI. This involves focusing on intellectual property over traditional services and redesigning roles for collaboration between humans and AI. Practical actions include establishing clear skill frameworks, facilitating internal mobility, and embedding ethics in AI deployment. With effective AI integration, companies can enhance productivity, foster inclusion, and meet evolving industry demands, ensuring responsible growth and lasting impact.

https://www.weforum.org/stories/2026/01/ai-roadmap-transforming/

Mentorship & Diversity: Shaping the Next Gen of Cyber Experts

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Notable figures like Patricia Voight, CISO at Webster Bank, emphasize the importance of mentorship and diversity in cybersecurity, advocating for career development and understanding business needs in a constantly evolving industry. Voight encourages aspiring professionals to pursue cybersecurity, highlighting the sector's growth and the necessity of human expertise amid advancements in AI and automation.

https://www.darkreading.com/cybersecurity-careers/mentorship-and-diversity-shaping-the-next-generation-of-cyber-experts

Why Data Skills Are the Backbone of AI Success

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Data skills are essential for successful AI implementation, yet many organizations lack adequate training, hampering ROI and transformation. A significant skills gap exists, with many employees unprepared to effectively utilize AI tools. Human expertise remains crucial for AI model success, ensuring outputs are ethical and relevant. Organizations must prioritize continuous training and data fluency to remain competitive and unlock AI's full potential, addressing workforce readiness to prevent stalled adoption.

https://startupsmagazine.co.uk/why-data-skills-are-the-backbone-of-ai-success

AI-powered Learning Ecosystems: a Guide to Workforce Upskilling

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The shift from traditional Learning Management Systems to adaptive, data-driven learning ecosystems allows organizations to integrate personalized, scalable training solutions, leveraging AI for dynamic content delivery, predictive analytics, and continuous learner engagement. CIOs are encouraged to lead this transformation by focusing on unified data, AI infrastructure, ethical governance, and human-centered design to create impactful educational experiences.

https://www.cio.com/article/4108064/ai-powered-learning-ecosystems-a-guide-to-workforce-upskilling.html

AI Is Changing How We Learn at Work

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AI is transforming work, but its impact on human learning and development is uncertain. Leaders are concerned that AI might disrupt traditional pathways to mastery, increase noise and overwhelm, dull human capabilities like empathy, and erode personal choice and agency. To ensure AI enhances human development, leaders must engage in “sense-making conversations” to explore these challenges and design AI-enabled systems that preserve space for human growth and learning.

https://hbr.org/2025/12/ai-is-changing-how-we-learn-at-work

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