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Scooped by
JC Gaillard
onto Digital Transformation Leadership July 20, 2018 1:56 AM
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When discussions arise around a digital transformation journey, the focus is generally put on the technology. But digital transformation is about people. It is a mindset shift in how organizations create value for their end-customers. Here's how you can prepare your workforce for it:
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Aligning cloud infrastructure, data management and organisational skill sets will be the difference between firms that talk about AI value and those that actually realise it.
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Interestingly, it’s not usually the quality of the technology but misaligned goals, poor planning or unrealistic expectations that caused failure.
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As AI adoption accelerates, trust and security must become part of the foundation, not an afterthought.
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After a flood of AI experimentation, IT leaders are going back to the basics of governance, change management, and metrics to ensure initiatives deliver key value for the business at scale.
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As organizations race to achieve outsized benefits from AI, CFOs must address a frequently overlooked driver of optimal AI returns: internal control structures.
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While a large percentage of IT and business leaders believe their AI efforts will meet or exceed expectations, only a small number have successfully deployed projects thus far.
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From
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Companies are under pressure to pause digital innovation as costs rise and uncertainty grows—but holding back risks falling further behind in the age of AI and data-driven change. Research shows the most effective organizations avoid waste by funding projects incrementally based on evidence, pairing autonomous teams with shared resources, and continually reallocating talent and capital to initiatives with the greatest strategic impact. By adopting these habits, firms can double down on digital innovation while ensuring that every investment advances long-term business value.
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The cloud is moving rapidly in new directions. Here’s a rundown of the latest top strategy trends.
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The future of digital transformations will belong to leaders who can masterfully integrate engineering talent with organizational readiness.
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Many enterprises will delay a quarter of their planned AI spending as they hunt for more positive impact on their bottom lines, Forrester predicts. Others contend spending will hold — but get smarter.
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Most AI projects never scale. MIT's Paul McDonagh-Smith explains why culture, governance and leadership, not technology, decide who succeeds.
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