Artificial Intelligence (A.I.) elevates knowledge workers’ support and information base within various industry with new capabilities around replicable models and building expertise. This article highlights how A.I. companies can best support knowledge workers through recognizing context, concepts, and meaning. The result: New pathways and new potential in bridging collaboration between workers and machines.
- An overwhelming majority of surveyed skilled knowledge workers agree that they need additional training and reskilling to meet the requirements of working with A.I.
- I. will be more successful and applicable if human experts dictate to A.I. what is most important and relevant to improving their job roles and tasks.
- I.-based cybersecurity groups are exploring ways to anticipate attacks and motivating behaviors, as an example of creating models that are complementary to knowledge workers’ process.
- Through determining and anticipating unique responses, A.I. can improve the productivity and efficiency of knowledge workers.
- A top-down approach is a key to future deep learning for A.I., allowing systems to learn extensively from workers’ specialized knowledge through analyzing procedures and applications (for example, real-time support for surgeons in the operating room).
I read the article mentioned above (https://hbr.org/2019/04/using-ai-to-make-knowledge-workers-more-effective), and thought it was interesting. While I am not offering an endorsement of a strategy, tactics, thoughts, service nor a company or author, the information was intellectually stimulating and thoughtful and worth a review.
