CIO

Transforming Diverse Experiences Into a Storied CIO Career

/ , ,

Denise Russell Fleming, CIO and EVP of technology and global services at BD, shares insights from her diverse career spanning business, marketing, customer support, and IT that uniquely positioned her to lead large-scale transformations. Highlighting the importance of trust, collaboration, and a growth mindset, Fleming discusses her journey to the CIO role, experiences with complex initiatives, and advice for CIOs aspiring to board service, emphasizing that effective leadership in technology is deeply rooted in understanding both people and business.

https://www.cio.com/article/4148293/transforming-diverse-experiences-into-a-storied-cio-career.html

The Inside Track on How Boards Evaluate Their CIOs

/ , , ,

Corporate boards increasingly expect CIOs to translate complex technology initiatives into clear strategic opportunities by demonstrating strong business acumen, especially around investment, growth, and risk. Effective CIOs communicate technology’s impact on business outcomes concisely and align their presentations to board members’ perspectives, balancing operational improvements with innovation to support both running and transforming the business.

https://www.cio.com/article/4149185/the-inside-track-on-how-boards-evaluate-their-cios.html

Why AI Scaling Is so Hard – and What CIOs Say Works

/ , , ,

The article explains that many organizations struggle to scale AI beyond pilot projects due to high costs, poor data quality, unclear business value, and difficulty integrating it into everyday workflows. CIOs say successful scaling starts with solving real operational problems, involving end users early, improving data foundations, and measuring outcomes instead of experimenting without goals. The article concludes that AI delivers results only when treated as a business transformation effort with governance, user adoption, and clear return on investment, rather than as a standalone technology project.

https://www.informationweek.com/machine-learning-ai/why-ai-scaling-is-so-hard-and-what-cios-say-works

10 Things Keeping IT Leaders up at Night

/ , , ,

The article outlines the top ten concerns keeping IT leaders, especially CIOs, awake at night in 2026, highlighting cybersecurity threats, responsible AI deployment, and governance challenges as foremost. It emphasizes the pressure on CIOs to align technology initiatives with business outcomes, continuously drive impactful transformation, and ensure their teams rapidly upskill amid rapid tech evolution, all while maintaining flawless IT operations.

https://www.cio.com/article/4148311/10-things-keeping-it-leaders-up-at-night-2.html

CIO 100 Leadership Live Atlanta: AI Spending Enters a Reckoning Phase

/ , ,

At the CIO 100 Leadership Live conference in Atlanta, technology leaders discussed a shift in enterprise AI from rapid growth to a phase emphasizing governance, data accountability, and business justification. Key themes included the need for evolved leadership skills beyond technical expertise, challenges in moving AI initiatives beyond proof of concept, the critical role of knowledge management and data governance, and the importance of integrating AI as a strategic, multidisciplinary leadership priority.

https://www.cio.com/article/4148267/cio-100-leadership-live-atlanta-ai-spending-enters-a-reckoning-phase.html

5 Tips for Communicating the Value of IT

/ , ,

CIOs must effectively communicate IT's business value to shift perceptions from being a cost center to a profit driver. Key strategies include: highlighting IT's impact, focusing on business outcomes rather than technical metrics, using relevant KPIs, developing storytelling skills, and framing IT as an asset builder. By translating IT achievements into relatable business language and results, CIOs can ensure stakeholders recognize IT's contributions.

https://www.cio.com/article/4137669/5-tips-for-communicating-the-value-of-it.html

CIO AI Priorities Pivot From Productivity to Innovation

/ , , , ,

CIO AI priorities have shifted significantly, with a dramatic drop in focus on productivity (from 67.5% to 41.8%) and automation (from 69% to 54.1%), while emphasis on innovation and modernization nearly doubled to 32.4%. A majority of CIOs now report well-developed AI plans, marking a pivot from pilot testing to full-scale implementation. AI spending as a focus area doubled, particularly in R&D, as businesses seek transformative capabilities over efficiency. Cybersecurity priorities also declined.

https://futurumgroup.com/press-release/cio-ai-priorities-pivot-from-productivity-to-innovation/

One Title, Many Realities: How the CIO Role Changes by Organization Size and Industry

/ ,

CIO roles vary significantly by organization size and type. In large enterprises, CIOs focus on governance and risk management, while mid-market CIOs balance strategy and execution with visible ROI. In startups, CIOs prioritize speed and adaptability. Misalignment in expectations between boards and CIOs can hinder performance evaluations and career mobility, as boards often impose enterprise-level standards on those in smaller contexts. Effective CIOs tailor their skills to fit their organization's unique needs, regardless of industry or company size.

https://www.cio.com/article/4141223/one-title-many-realities-how-the-cio-role-changes-by-organization-size-and-industry.html

Kill Your ITIL: Why CIOs Abandon Traditional Service Management

/ , , ,

The evolution of IT service management is highlighted, emphasizing the shift from rigid frameworks like ITIL to more adaptive, automation-driven systems that prioritize immediate problem-solving and minimize bureaucratic delays. The future of service desks lies in proactive orchestration and automation, focusing on enhancing user experience rather than merely processing tickets. Cultural changes are required to support this transition, emphasizing trust in automation and self-service capabilities.

https://www.informationweek.com/data-management/kill-your-itil-why-cios-are-abandoning-traditional-service-management

The Rise of the Outcome-orchestrating CIO

/ , ,

CIOs must shift from merely delivering technology on time and within budget to ensuring technology drives business outcomes. This transformation, termed “outcome orchestration,” involves aligning IT strategy with measurable business results through accountability, collaboration, and communication across departments. Key steps include adopting shared metrics, adjusting funding models to support business flexibility, involving IT in early ideation phases, and fostering an outcome-focused culture. Successful CIOs engage with business leaders, presenting technology as a crucial investment in competitive advantage and operational efficiency. This shift towards prioritizing outcomes over traditional IT metrics is essential for future organizational success.

https://www.cio.com/article/4137687/the-rise-of-the-outcome-orchestrating-cio.html

Scroll to Top