Digital transformation 1 October 2024
Ron Immink
I empower people by crafting compelling visions for the future, driving the creation of innovative business models, boosting productivity, and enhancing profitability. Advisor, mentor, author and speaker.
Today’s topics are programming, transformation, modernisation, AI and coding, CIOs and change management, open source AI, AI and failure, autonomy stack and my take on “Our Next Reality: How the AI-powered Metaverse Will Reshape the World”.?
If you want to talk about my perspective on transformation, you can book a free appointment here .
Programming Trends to Follow in 2026
The key programming trends expected to dominate the future and how they will transform the way we build software.
When digital transformation pays off in unexpected ways
To begin with, avoid clinging to outdated systems, as they are often hidden drains on resources. While some legacy systems are retained due to compliance requirements, a strategic approach can mitigate these challenges.
Tech leaders are ramping up IT modernization, but they’re wary of the productivity nosedive that comes with it
Enterprises simply cannot afford to mess up IT modernization efforts, new research finds
How Generative AI is Transforming Coding Jobs
Generative AI offers personalized learning experiences by analyzing a developer’s code and providing feedback along with relevant tutorials or exercises.
CIOs must understand change management theories, frameworks and practices
领英推荐
Change management is a very important subject today in health IT as more and more new and amazing technologies make their way into the delivery of healthcare.
A tiny new open-source AI model performs as well as powerful big ones
The results suggest that training models on less, but higher-quality, data can lower computing costs.
Vivien Jain: ?Digital Transformation is Not an Option, But An Obligation?
Digital transformation is no longer optional; it has become mandatory. Moving highly sensitive data – historically guarded with the utmost discretion – into digital systems requires trust and caution, particularly given the rising cyber risks.
Why Do AI Projects Fail?
It’s well known AI is harder to deploy than software. AI has indeterministic outcomes. AI experiences capability uncertainty in the hands of users. Unintended consequences post-deployment results in bad press and loss of user trust in AI systems. The costs and ROI are hard to justify upfront.
A Software-Driven Autonomy Stack Is Taking Shape
With advancements in AI, in particular, we are starting to observe a decoupling of hardware and software for autonomy use cases across industries like manufacturing, energy, mining, construction, industrial controls, and defense. This is similar to the dynamic we’ve begun to see in robotics, and will lead to powerful new capabilities, applications, and economics.??
Immersive reality, from clicking to behaving
A new reality is coming in, and artificial intelligence and immersive technologies will fundamentally change our lives, impacting not only how we work and play but also how we perceive our world, engage our surroundings, and interact with each other.