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Scooped by
JC Gaillard
onto Digital Transformation Leadership May 21, 2018 1:51 AM
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Scoop.it!
When it comes to digital transformation, digital is not the answer. Transformation is.
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Scoop.it!
From
www
Almost every company has AI tools, but few really know how to use them. Leaders at 15 AI-savvy companies say the difference comes down to seven operating truths—that most organizations still get wrong.
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From
hbr
Generative AI’s gifts come with a hidden danger: decay in the accuracy and quality of organizational knowledge. This decay is the organization-level version of the “workslop” problem. When workslop occurs in sequence across a business’s processes, those processes themselves—and their outputs—start to deteriorate, errors compound and pile up, trust erodes, and the productivity gains of AI disappear.
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From
dataconomy
For years, large companies have treated transformation as a program: a centralized office, a single roadmap, multiple parallel streams, and regular reporting to the top. This model creates structure, but it also introduces limits of its own.
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From
www
You cannot buy technology and assume it will create an advantage. Competitive advantage tends to come from who is most effectively using their technology.
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From
www
As AI supercharges what business technology can do, CIOs and CFOs must work together to demonstrate the return on their companies’ IT investments.
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From
www
The economics of autonomous agents depend less on the model and more on how much thinking, looping, and tool use you permit.
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From
www
Embedding trust, transparency, and governance into engineering processes
Scoop.it!
From scattered AI pilots to strategic systems: why orchestration, observability, and auditability are the new competitive edge for enterprise AI adoption.
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From
www
Many companies are using AI to automate tasks, cut costs and speed up existing workflows, but that approach risks missing the much bigger opportunity.
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From
www
AI is not just being used to support decisions anymore. It is starting to make them, and in some cases act on them. Organizations are no longer only deploying software. They are beginning to introduce systems that operate end-to-end workflows, with a degree of delegated authority.
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From
www
Forget scattered AI pilots. CIOs win the AI gold rush by building the infrastructure that turns raw experimentation into massive enterprise capacity.
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From
www
Based on my experience with AWS, I've put together a CEO's playbook with five strategies to achieve success in AI programs.
Scoop.it!
From
mitsloan
Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.
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Scoop.it!
From
www
How can companies lean into the innovation agenda when there are so many urgent demands on a company’s resources and leaders’ time? And how can they address innovation holistically when AI, understandably, dominates the agenda?
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From
www
How do you create real ROI from autonomous AI? Three digital leaders share lessons they've learned in the field.
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From
www
With data quality and governance key to AI success, IT leaders — and their CEOs — can no longer overlook data debt. Experts offer tips for remediation.
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From
www
Pressured to bring AI benefits to the bottom line quickly, CIOs are cutting corners in ways that will result in some of IT’s most debilitating tech debt yet.
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From
www
Buying AI tools is easy, but getting your team to actually use them requires real trust and leadership, not just a launch email.
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From
www
While AI offers transformative opportunities for growth and productivity, it also introduces new and rapidly evolving risks, from security and bias to operational and reputational exposure.
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The real risk is not that AI replaces the CEO. It is that AI is already replacing the leadership competency that matters most—the judgment calls about what the organization is, what it stands for, and what it treats as true.
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AI governance does not fail because accountability is absent. It fails because accountability is scattered across roles that were not designed for AI's cross-functional reach.
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From
mitsloan
What leaders are interested in is changing, evolving from a basic understanding of AI to how to adopt and scale the technology and manage its workforce implications.
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Agentic AI stands among the most impactful levers for efficiency, boosting productivity and driving revenue growth, but it’s a discipline, not a shortcut.
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From
www
The business world tends to celebrate the “survival mindset” as proof of grit and resilience. In reality, that mindset can quietly become a liability.
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From
www
AI has proven its potential, but value remains hard to scale. To turn experimentation into sustained performance, CEOs must reimagine their organizations.
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