training

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

How to Build Forward-thinking Cybersecurity Teams for Tomorrow

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Microsoft emphasizes adapting cybersecurity talent strategies in response to AI advancements, highlighting the need for critical thinkers alongside technical skills. Future cybersecurity teams should consist of diverse backgrounds to understand AI vulnerabilities better and promote innovative problem-solving. The recruitment process must focus on adaptability, interdisciplinary collaboration, and a proactive learning culture. Effective onboarding and retention of talent are critical, emphasizing continuous training to keep pace with evolving threats. Microsoft advocates for a shift in hiring practices to build resilient cybersecurity defenses against AI-powered adversaries.

https://www.microsoft.com/en-us/security/blog/2025/12/02/how-to-build-forward-thinking-cybersecurity-teams-for-tomorrow/

Bendigo Bank Adopts Google Cloud AI to Boost Staff Skills & Security

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Bendigo Bank partners with Google Cloud for AI and cybersecurity enhancement, improving staff skills and operational efficiency. The collaboration includes deploying AI tools like Gemini Enterprise to enhance productivity, streamline processes, and bolster security via Google’s systems. The aim is to create a digitally skilled workforce and improve customer services for 2.9 million customers while ensuring robust security measures.

https://securitybrief.com.au/story/bendigo-bank-adopts-google-cloud-ai-to-boost-staff-skills-security

Why Architect for Human Error When We Can Make People Feel Really Bad About It?

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CISO Series discusses human error in security, questioning why systems aren't designed with this in mind. The show is hosted by David Spark and Andy Ellis, featuring CISO Richard Rushing. They emphasize that good CISOs prioritize strategy over merely managing security tools, with the importance of mindset in leadership. The conversation explores the distinction between security hygiene versus vulnerabilities in cybersecurity, emphasizing that understanding risks and context is crucial for effective security practices. The episode also introduces ThreatLocker as a sponsor, in light of addressing configuration risks.

https://cisoseries.com/why-architect-for-human-error-when-we-can-make-people-feel-really-bad-about-it/

As AI Redraws Threat Landscape, Cybersecurity Training Faces Reality Check on What Future Defenders Truly Need

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AI-driven cyber threats are increasing, necessitating urgent demand for skilled cybersecurity professionals. Organizations must enhance training that combines technical skills with soft skills to prepare future defenders. The cybersecurity workforce faces a significant talent shortage, estimated at 2.8 to 4.8 million professionals globally. Effective use of AI in cybersecurity can mitigate risks, but organizations often struggle to find talent with the required expertise. Closing the skills gap demands long-term strategies focused on education, targeted training, and collaboration across sectors.

https://industrialcyber.co/reports/as-ai-redraws-threat-landscape-cybersecurity-training-faces-reality-check-on-what-future-defenders-truly-need/

To Boost AI Adoption, CIOs Lean on Training, Guardrails

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CIOs focus on AI adoption balancing expansion and employee training. Many lack AI governance policies, with training access lagging. Executives emphasize clear use cases, tailored training, and risk management. Jabil's AI Council guides deployment; Deloitte integrates AI training in leadership programs, and Detroit's CIO prioritizes accuracy vigilance. Effective AI tools enhance productivity, shifting mundane tasks to automation.

https://www.hrdive.com/news/CIO-AI-adoption-jabil-deloitte-city-detroit/804735/

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