Interest in artificial intelligence (AI) and machine learning (ML) is soaring, but confusion and hype can mask the real benefits of these technologies. Organizations need to identify use cases that will produce value for them, especially in the areas of enhancing processes, detecting anomalies and enabling predictive analytics.
Machine learning adoption within enterprises continues to rise each year. According to 451 Research’s Voice of the Enterprise: AI and Machine Learning Use Cases survey, nearly 29% of organizations are deploying ML initiatives. An additional 42% of organizations are either in the proof-of-concept stage or plan to deploy within the next 12 months. This accelerated adoption is no surprise given that 94% of ML adopters say their initiatives are successful. By using the technology to divine insight from vast amounts of data much quicker than humans could achieve alone, these ML adopters are seeing a variety of benefits, such as improved workforce productivity and lowered costs. Despite its benefits, machine learning adoption is far from easy; there are numerous hurdles enterprises have to overcome to ensure successful ML deployments.
The process of getting a comprehensive understanding of the important risk, opportunities or trends facing a company or industry sector is difficult. This information deficit results in professionals being reactive to clients’ needs and changes in their industry. Download the Current Awareness Toolkit to learn how you can utilize machine learning to empower your organization to demonstrate situational awareness.
Stay updated with the latest news, insights, and exclusive updates delivered straight to your inbox. Subscribe to our newsletter and never miss important announcements, expert tips, and special offers. Be part of our growing community and get valuable content that inspires, informs, and helps you stay ahead. Sign up today!
