current and future state
Executive Insights on the Current and Future State of Artificial Intelligence - DZone AI
This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more! To gather insights on the state of artificial intelligence (AI), and all of its subsegments -- machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, etc., we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. The keys to a successful AI strategy are to have a well-defined business problem to solve and to have a sound data management program in place to ensure you have the data to solve the business problem. Truly understand what you are trying to do.
Current and Future State of Artificial Intelligence and Machine Learning
Artificial intelligence (AI), machine learning and deep learning are set to become some of the most transformational technologies in the history of the world, affecting most aspects of our lives whether we're conscious of it or not. The application of these technologies will likely reshape how people work, study, travel, govern, consume and pursue leisure activities. In turn, that process will almost certainly throw up new ethical, moral, legal and regulatory challenges that have only just started to be discussed. While potentially transformative, AI technologies are by no means novel, with conceptual and technological lineages going back decades, if not centuries. What is new, especially over the last three to five years, is the integration of machine learning functionality in business environments to improve and automate enterprise processes.