Artificial intelligence is rapidly transforming the way industries operate. Because of the speed of AI adoption and the technology’s ability to alter human and capital investment within a business, AI forces CEOs to make important decisions about where the people on their teams drive value.
Transitioning from traditional human-intelligence-driven methodologies can cause trepidation even among the most adventurous teams. Of course, like any new technology, there are always the risks that come with budget, deployment, integration and QA/QC to contend with. To prepare your organization for the coming changes, you must communicate your strategy and have pilot projects on deck that allow your teams to become familiar with the technology. These components are the keys to building momentum and trust in the AI system.
We saw AI move into the language industry about 2-3 years ago, and adoption has accelerated in a way few technologies have. It’s now used on more than 50 percent of translation projects, directly replacing the traditionally human work of translation. Ultimately, the industry has learned that AI provides significant benefits, but it hasn’t been an easy, or painless, path.
Putting AI to work is complicated by the fact that technology is constantly evolving and that its adoption speed is much faster than previous technology. Just as our human teams get close to “normalizing” an AI workflow, the technology changes. Additionally, for AI to be “intelligent,” the system needs to be trained, which means you need a strategy for data retention, security and application.
Continue reading: https://chiefexecutive.net/what-really-happens-when-ai-takes-over-your-business/
Transitioning from traditional human-intelligence-driven methodologies can cause trepidation even among the most adventurous teams. Of course, like any new technology, there are always the risks that come with budget, deployment, integration and QA/QC to contend with. To prepare your organization for the coming changes, you must communicate your strategy and have pilot projects on deck that allow your teams to become familiar with the technology. These components are the keys to building momentum and trust in the AI system.
We saw AI move into the language industry about 2-3 years ago, and adoption has accelerated in a way few technologies have. It’s now used on more than 50 percent of translation projects, directly replacing the traditionally human work of translation. Ultimately, the industry has learned that AI provides significant benefits, but it hasn’t been an easy, or painless, path.
Putting AI to work is complicated by the fact that technology is constantly evolving and that its adoption speed is much faster than previous technology. Just as our human teams get close to “normalizing” an AI workflow, the technology changes. Additionally, for AI to be “intelligent,” the system needs to be trained, which means you need a strategy for data retention, security and application.
Continue reading: https://chiefexecutive.net/what-really-happens-when-ai-takes-over-your-business/
