Tag: AI in practice
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Creating valuable data is a force multiplier
It may come as no surprise that data is important for information technology and that information technology is fundamental to the operations of most organizations who consequently depend on data for their daily operations and need it to fuel new and innovative solutions. Unfortunately, it is often not managed with appropriate diligence resulting in everything…
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Desperately seeking value – The AI value gap
There is little doubt that AI has the potential to transform the world economy. This has been reiterated in reports from the EU, IMF and major consulting companies and weekly in headlines around the world. As Lars Tvede has pointed out recently the perception is that: “(..)this is the calm before the storm. According to…
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Is AI the new Mainframe?
No modern technology has added technical debt faster than AI. Technical debt is the future cost of reworking created by a focus on expediency rather than long-term design robustness and the implementation of AI has been expedient. Developers have often been able to pick and choose what frameworks, languages and platforms to use if they…
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Architecting AI – seven principles to build production grade AI solutions
Artificial Intelligence (Ai) is high on the agenda for many organizations. Many have started to dip their feet into the waters and build AI solutions themselves, which has resulted in a large number of sandboxes, POCs, pilots, hackathons and other experimental efforts. That is positive and a necessary development to begin to harness the qualities…
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