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It’s Time to Retire the Ticket: An IT Roadmap for Agentic AI

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TLDR: IT tickets are outdated and hinder productivity in modern enterprises. They slow down response times and create inefficiencies. The future demands proactive solutions using agentic AI and automation to resolve issues before they escalate. This involves reimagining service delivery, focusing on automation of repetitive tasks, integrating AI for intelligent decision-making, and allowing human agents to concentrate on higher-level strategic tasks. By transitioning to this model, organizations can enhance productivity, reduce incident resolution times, and align IT outcomes with business goals.

https://www.cio.com/article/4018133/its-time-to-retire-the-ticket-an-it-roadmap-for-agentic-ai.html

How Should Businesses Kick Off Their AI Initiatives? Time for the AI Advice Column

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Businesses should initiate AI projects with caution, focusing on clear goals like efficiency or competitive advantage. They need to consider their current capabilities, data quality, and potential risks involved. Smaller firms may struggle without necessary personnel or adequate infrastructure. It’s essential to evaluate AI opportunities, prioritize tasks, and prepare for organizational changes, ensuring proper training and change management. Ultimately, selecting a well-defined proof of concept can aid in navigating the complexities of AI implementation.

https://diginomica.com/how-should-businesses-kick-their-ai-initiatives-time-ai-advice-column-your-doctors-are

From the FBI to F&A: Lessons Learnt in Safeguarding Systems and Data

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CISO Jill Knesek shares insights from her FBI experience applied to safeguarding financial data. She emphasizes that finance teams are vulnerable to cyber threats due to their access to sensitive data and often insufficient awareness of cyber risks. Effective cybersecurity demands a comprehensive business approach, involving training, robust financial controls, and addressing third-party risks. Communication of cyber risks in business terms is crucial for stakeholder engagement, while AI tools offer both opportunities and new threats, necessitating careful implementation. Knesek advises aspiring cybersecurity professionals to leverage diverse experiences, focusing on the human element's importance in security strategies.

https://www.computerweekly.com/opinion/From-the-FBI-to-FA-lessons-learnt-in-safeguarding-systems-and-data

Cybersecurity and AI : Towards a New Human-centered Approach

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AI adoption is reshaping business and increasing risks, requiring a shift in cybersecurity to focus on human factors. Traditional security methods are insufficient as threats exploit human cognitive weaknesses. New scenarios include deepfake impersonation and misinformation. Addressing these risks involves enhancing cognitive awareness, establishing verification protocols, regulating AI use, mapping cognitive risks, and preparing response teams. A cultural shift in organizations is essential for proactive AI risk management, integrating technology with human capabilities for comprehensive cybersecurity.

https://www.rsm.global/france/en/insights/yuksel-aydin-cybersecurity-ai-human-centered-approach

Goldman Sachs CIO: Prepare AI Natives to Shape Future of Work—as Only They Can

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Goldman Sachs CIO Marco Argenti emphasizes the need to prepare “AI natives” who, familiar with AI tools, will lead the evolution of work alongside AI. As agentic AI enables independent, decision-making agents, the next workforce generation, raised with this technology, is essential for collaboration. While junior roles may adjust, these AI natives will be pivotal due to their adaptability and understanding of AI’s capabilities. The challenge involves training this new talent in managing AI while ensuring experienced supervision remains crucial for quality control in a rapidly changing landscape dominated by AI. The transition demands not just technological, but cultural and managerial adjustments as organizations restructure roles and workflows around AI integration.

https://fortune.com/2025/07/03/goldman-sachs-cio-ai-natives-future-of-work/

How IT Leaders Can Rise to a CIO or Other C-level Position

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IT leaders can advance to C-level roles by cultivating business acumen, expanding networks, and enhancing visibility within their organizations. To become CIOs, they should think like business leaders, engage with other departments, and lead cross-functional projects. Building relationships for mentorship and sponsorship is crucial, as is going beyond technical skills to develop strategic leadership capabilities. Continuous learning and adapting are essential for success in higher executive roles.

https://www.informationweek.com/it-leadership/how-it-leaders-can-rise-to-a-cio-or-other-c-level-position

Briefing

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TLDR: The EU Artificial Intelligence (AI) Act 2024 establishes a regulatory framework for AI, promoting human-centric use while ensuring safety and ethical standards. It categorizes AI risks into four levels and restricts harmful applications. The Act mandates compliance from August 2026, with interim obligations starting February 2025, emphasizing AI literacy among HR professionals to mitigate risks. The legislation aims to foster trust and encourage responsible AI adoption, while requiring significant efforts in education and guidance for effective implementation.

https://www.cipd.org/ie/views-and-insights/thought-leadership/insight/implications-eu-ai-act/

How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025

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TLDR Summary:
In 2025, enterprise AI spending exceeds expectations, becoming a permanent budget item driven by internal and customer-facing use cases. Enterprises increasingly utilize multiple AI models, with OpenAI, Google, and Anthropic leading the market. Procurement processes mirror traditional software buying, emphasizing cost and security. Enterprises are shifting from building to buying AI applications as the ecosystem matures, particularly in software development and customer support. However, concerns around outcome-based pricing persist. Overall, the landscape shows strategic deployment, diversified model use, and a shift towards AI-native applications.

https://a16z.com/ai-enterprise-2025/

A CISO’s AI Playbook

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CISO AI Playbook: In a tough security budget climate, improving analyst productivity is crucial. Adopt a strategic framework focusing on throughput over headcount, leveraging AI to handle alerts efficiently. Key steps include calculating alert investigation costs, addressing analyst attention constraints, improving throughput via AI tools, ensuring transparency for trust, valuing time savings, and aligning security outcomes with business goals. AI aids in reducing investigation times and refocuses analysts on high-value tasks while balancing costs and risk mitigation for sustainable operations.

https://www.darkreading.com/vulnerabilities-threats/ciso-ai-playbook

10 Tough Cybersecurity Questions Every CISO Must Answer

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CISOs face various complex challenges in cybersecurity, requiring regular reflection and strategy. Key questions include whether they enable or hinder business, how to balance security and risk, which metrics to report to the board, and understanding their organization's definition of cybersecurity. Furthermore, effective communication of risks, fostering a team environment for dissent, addressing customer security needs, mapping data locations, and adapting staff strategies with AI insights are vital. Lastly, anticipating emerging threats and ensuring the security infrastructure is fit for future demands are crucial for proactive risk management.

https://www.csoonline.com/article/4009212/10-tough-cybersecurity-questions-every-ciso-must-answer.html

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