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Scooped by
JC Gaillard
onto Digital Transformation Leadership January 2, 12:59 AM
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You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when done right for AI.
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Most organisations say they want growth, productivity, and resilience. Fewer are willing to confront whether the business model they are operating today is
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From
www
With the convergence of AI, cyber threats, and geopolitical instability, your traditional leadership playbook is not simply outdated - it's potentially dangerous.
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In the wake of Coca-Cola creating a new CDO position, CIOs are left wondering what remains in their jurisdiction when it comes to driving IT strategy.
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As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.
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From
www
What kills IT organizational change? Wrong methodologies, lack of resources, and chasing fads are just the tip of the proverbial iceberg.
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From
thenewstack
You cannot govern what you cannot see, and right now, most organizations are flying blind.
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The AI plateau marks a shift from hype to practical results. CIOs who focus on governance and measurable value can navigate this period successfully.
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The 2025 Artificial Intelligence and Business Strategy report, from MIT Sloan Management Review and Boston Consulting Group, looks at enterprise adoption of agentic AI.
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Five years ago, cloud was the answer to everything. With AI, that's no longer so clear.
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The power of AI is undeniable, but without trust, its promise will remain dangerously constrained.
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Enterprises don’t fail at transformation — they fail at learning. Only those who engineer continuous, semantic adaptability will survive the next wave.
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We are experiencing one of the most transformative moments in human history. We must prepare strategically, integrating skills, flexibility, and security awareness.
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The core task of leadership is managing change—seeing new realities and driving adaptation. To reinvent the organization, leaders must rethink traditional tools and master a more complex level of change.
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From
www
Being a CDIO isn’t just about tech anymore. It’s about building the right platforms, growing bridge-builder talent and telling a story people actually believe.
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From
www
Combining leadership skills and technical excellence is necessary for long-term success with technologies like AI
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Enterprise AI is more challenging because it relies on clean data and on delivering a high degree of accuracy with higher stakes at play. AI must be integrated into workflows and governance embedded from the start.
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Transformations succeed when behaviors change. But many organizations focus on indicators of engagement rather than on “edgier” behaviors that improve discipline, accountability, and competitiveness.
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From
hbr
Artificial intelligence is often hailed as a game changer, but too many firms discover that their bold AI pilots collapse when their operating models can’t support them.
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Digital trust cannot be delegated to technologists alone. It has to be championed at the board and executive level.
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CIOs will continue to gain in stature as they take an even bigger lead on AI-powered enterprise transformations.
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You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when done right for AI.
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Organizations that exclude CIOs from strategic planning systematically destroy value, while those that integrate technology leadership achieve transformative success.
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When leadership alignment, data discipline, business ownership, outcome-based incentives and AI-powered oversight come together, companies can minimize business disruption.
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Resilient leaders don’t aim to restore what was; they reinvent what’s next.
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