AI gives. AI will take it away.
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All technology presents paradoxes. But AI seems to be giving and taking more than its share all at once. Of course, this makes it more difficult and confusing for business and IT leaders to make his AI decisions within their organizations, especially since it requires large budgets, convincing everyone, and shifting resources. Masu.
Here are some notable paradoxes of AI.
1. AI reduces labor requirements. AI increases skill requirements. Putting together AI-driven capabilities requires the skills to do so, and this is one of the biggest challenges. For example, AI replaces tasks previously performed by humans, and 62% of respondents to the Rackspace Technology survey said AI has led to a reduction in the number of employees in their organization. At the same time, the most frequently faced problem or barrier is a lack of skilled talent to enable AI, cited by 67%.
2. AI is complex to develop and deploy. AI makes it easier to develop and deploy applications. The biggest beneficiaries of AI technology so far are engineers themselves. Automate operations and quality assurance to accelerate application development, improve network optimization, and eliminate manual tasks. Research by IBM’s Watson Group reveals the existence of artificial intelligence.
3. Implementing AI is expensive. AI helps manage and reduce IT costs. For example, the rise in FinOps practices that encourage intelligent control of technology spending could benefit from AI and machine learning, FinOps Foundation analysis predicts. At the same time, managing and building AI capabilities may require FinOps and other cost reduction initiatives.
4. AI will automate and mechanize work. AI requires more creativity in your work. The authors of the World Economic Forum’s Future of Work report estimate that 44% of worker skills will be destroyed over the next five years, “reflecting the growing importance of complex problems. Cognitive skills are the fastest growing in importance. -Settle it at work. ”
5. AI won’t help businesses that really, really need it. There is a tendency to embrace the latest and greatest technology, spend a lot of money on solutions and related consulting, and then take it for granted. Miraculous growth and happy customers overnight. Slow and inefficient organizations that would benefit most from AI are unwilling to leverage it in a productive way. Organizations with forward-thinking cultures that would thrive without AI are the biggest supporters of AI.
6. AI requires huge datasets. AI reduces data management requirements. AI requires the highest quality data. AI can ensure higher data quality. Although AI is data resource intensive, it can help identify and prepare the data needed for analytics-driven systems.
7. AI offers incredible intelligence, but is actually stupid. AI may be able to decipher quantum physics, but it cannot be taught the simplest tasks. This is the Moravec paradox, coined by Hans-Peter Moravec of Carnegie Mellon University, who states: “While it is relatively easy to make a computer perform at an adult level on intelligence tests and checkers, it is difficult or impossible to give a computer the skills to perform an intelligence test.” When it comes to perception and mobility – age. ”
AI is a highly promising technology for many business problems and opportunities. But this trade-off is an interesting one, and one that will puzzle us for some time to come.
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