AI

Digital Colleagues, AI Agents Reshaping the ERP Workforce Model

By / Blog / , ,

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

By / Blog / ,

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

By / Blog / , ,

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

2026 AI Trends

By / Blog / , , ,

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

By / Blog / , ,

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

AI-powered Learning Ecosystems: a Guide to Workforce Upskilling

By / Blog / , ,

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

Managers Are Unprepared to Lead a Human-agent Hybrid Workforce

By / Blog / , , ,

Managers unprepared for hybrid workforce with AI agents; work nature changes as tasks shift from humans to autonomous systems, requiring new leadership approaches and collaboration strategies. Skills in agent orchestration may overshadow domain expertise, risking workforce capability. Companies must rethink career metrics and nurture strategic, judgment-based skills as AI handles execution tasks, fostering a need for intentional team collaboration amidst AI integration.

https://digiday.com/sponsored/managers-are-unprepared-to-lead-a-human-agent-hybrid-workforce/

Scroll to Top