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Scoop.it!
Just as earlier migrations were guided by stars or landmarks, this migration requires us to create our own compasses. These are not technical specifications but ethical bearings, meant to keep institutions human, even as cognition itself diffuses into every tool and transaction. 
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Scoop.it!
Cost overruns, delays, and high failure rates have long been accepted as the price of innovation. But with a co-ambidexterous approach, CEOs can help their companies innovate smarter and faster.
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Digitizing processes can feel like a leap into the unknown for employees. The obligation of CIOs, as committed advocates for change, is to prioritize investment in training, change management, and mentoring colleagues during transformation.
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Strong influence across the company and leadership ranks takes years to build. It can vanish in the blink of an eye.
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95% of Enterprise AI Stuck in Pilot Purgatory: How Do the Rest Succeed?
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Too many companies are rushing to embrace the latest agentic AI innovations without considering the part played by best practice and governance structures.
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With AI and, in particular, agentic AI now in the mix, the conversation on where to deploy your AI isn’t cut and dried.
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AI is already spurring CIOs to rethink how they run IT departments, invest in technology platforms, and digitally transform businesses. But a clear-eyed view of IT’s future remains elusive.
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From
hbr
Leaders are repeating the mistakes of the digital transformation era by funding scattered pilots that don’t connect to real business value. The takeaway is not that AI experimentation is broken, but that it must be disciplined
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Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.
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Why AI is turning cloud spend into a board-level concern, and why CFOs must now own the economics behind every compute decision.
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R&D has been getting more difficult and more expensive. We look at how AI can accelerate the process and usher in a new era of growth across industries.
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Accenture's new research reveals the critical strategies that separate the companies successfully scaling AI from the 92% stuck in perpetual pilot mode, providing enterprise leaders with actionable insights to accelerate their AI transformation journey.
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Urgency alone isn’t enough—without cultural alignment, strong governance and a clear purpose, digital transformation rarely delivers lasting results.
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Stuck in AI pilot purgatory? The real win is focusing on business problems, not hype, and scaling smartly with the right mix of tools.
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Past digital transformation struggles can offer valuable lessons to develop more effective strategies for AI implementation.
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Artificial Intelligence is not a strategy, a tool, or a trend. It’s a threshold.
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While companies have been “unbundling” their operations and outsourcing tasks for decades, advances in IT are now helping them take that strategy to a whole new level.
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The question isn't whether to invest in AI, but how to ensure those investments translate into measurable, real-world payoff.
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Today’s CIO must be more than a tech steward. Innovation and business alignment define the modern CIO’s role in driving growth.
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AI at scale succeeds when teams are ready first. Build curiosity, clarify roles and redesign workflows before expanding technology.
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The flood of organizational requests for AI requires a strategic and structured approach driven by dedicated teams tightly aligned with business requirements.
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Balancing AI, Cloud, Digital Trust to Turn Disruptions Into Enterprise Opportunity
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The competition to turn artificial intelligence (AI) into business value is heating up, but business leaders need the right tools to make AI deliver
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For IT leaders, aligning their team’s outcomes with business priorities can help communicate the department’s value to executive leaders.
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