A key resource on the dynamics of digital transformation for CDOs and other senior executives, looking into corporate culture, governance, leadership and management drivers
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.
The flood of organizational requests for AI requires a strategic and structured approach driven by dedicated teams tightly aligned with business requirements.
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.
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.
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.
Too many companies are rushing to embrace the latest agentic AI innovations without considering the part played by best practice and governance structures.
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.
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
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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