AI

“Threat Actors Have a Goal in Mind and They’ll Use Whatever Path They See to Get That Goal”

/ , ,

AWS CISO Amy Herzog discusses enhancing cybersecurity using AI, emphasizing specificity in AI roles and the need for realistic expectations about security effectiveness. She encourages businesses to focus on risk measurement and adaptability, rather than just scanning outputs. The new AWS security agent aims to proactively prevent issues, reinforcing that 100% security is unrealistic; instead, achieving a balance of functionality and control is key as threats evolve.

https://www.techradar.com/pro/security/threat-actors-have-a-goal-in-mind-and-theyll-use-whatever-path-they-see-to-get-that-goal-aws-ciso-tells-us-how-your-company-can-stay-safe-by-being-more-like-amazon

Gartner Identifies Key Strategic Tech Trends for 2026

/ , ,

Gartner identifies interconnected tech trends for 2026: AI supercomputing, multi-agent systems, domain-specific language models, AI security platforms, AI-native development, confidential computing, physical AI, preventive cybersecurity, digital provenance, and geopatriation. These trends emphasize digital trust and operational resilience, driving organizational transformation amid increasing disruption and innovation.

https://www.intelligentcio.com/eu/2025/12/27/gartner-identifies-key-strategic-tech-trends-for-2026/

Why CIOs Must Lead AI Experimentation, Not Just Govern It

/ , ,

CIOs should lead AI experimentation, not just govern it, by fostering a culture of learning and experimentation. This involves making AI tools accessible, empowering employees to use them, and redefining investment criteria to value learning and iteration. By doing so, CIOs can drive innovation and ensure their organizations stay ahead of the curve.

https://venturebeat.com/technology/why-cios-must-lead-ai-experimentation-not-just-govern-it

Digital Colleagues, AI Agents Reshaping the ERP Workforce Model

/ , ,

ERP Today highlights the evolution from assistive corporate AI to autonomous agents in enterprise operations, predicting significant revenue growth through agent-based automation. 90% of leaders expect a 25% revenue increase in three years, emphasizing the need to redefine roles and governance frameworks. Successful organizations must modernize data pipelines and adopt AI-native models while ensuring compliance and observability. Case studies illustrate efficiency gains from automation, necessitating a shift in focus for process owners towards supervisory roles over agent-driven workflows.

https://erp.today/digital-colleagues-ai-agents-reshaping-the-erp-workforce-model/

CIOs’ Top 10 Takeaways From the Year AI Got Practical

/ ,

IT leaders reflect on AI’s transformative lessons from 2025, emphasizing practical applications, rapid experimentation, data quality, and the importance of aligning AI initiatives with business goals. They also stress the social implications of AI, advocate for agile work structures, and highlight the significance of a people-centric transformation approach in technology adoption.

https://www.cio.com/article/4109167/cios-top-10-takeaways-from-the-year-ai-got-practical.html

Why Data Skills Are the Backbone of AI Success

/ , ,

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

As Coders Adopt AI Agents, Security Pitfalls Lurk in 2026

/ ,

As AI in coding grows by 2026, security remains a concern, with developers needing to improve practices to ensure the quality and safety of AI-generated code. Integration of security measures in development workflows is crucial as AI tools proliferate, necessitating vigilance to mitigate vulnerabilities.

https://www.darkreading.com/application-security/coders-adopt-ai-agents-security-pitfalls-lurk-2026

2026 AI Trends

/ , , ,

Key upcoming trends in AI for 2026 indicate that organizations must evolve, focusing on AI's role in management rather than just on technology adoption, and identifying new constraints rather than merely acquiring skills. There's an expected rise in AI-driven departments, particularly in HR and customer operations, with a possible reduction in middle-management roles due to automation. Risks include an increase in AI-generated misinformation, necessitating better governance. Firms must transition from proof-of-concept to substantial AI integration, prioritizing small wins amidst economic challenges.

https://www.imd.org/ibyimd/artificial-intelligence/2026-ai-trends-what-leaders-need-to-know-to-stay-competitive/

Building an Agentic Workforce: What We’ve Learned From 30,000 AI Agents

/ , ,

Prosus is building 30,000 AI agents to enhance workflows, automate tasks, and improve efficiency, with a focus on cultural transformation for adoption. Key learnings emphasize collaboration, experimentation, and tying agent creation to performance incentives. Successful examples include agents for restaurant reporting, data analysis, and newsletter updates, creating the capacity equivalent to 1,000 full-time employees and driving a culture of innovation amidst organizational change.

https://www.prosus.com/news-insights/2025/building-an-agentic-workforce-what-we-have-learned-from-30000-ai-agents

Scroll to Top