Creating AI value with enterprise context
Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools.
Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools.
The short version
- Each one is sophisticated, advanced, and quick to respond.
- But, when set to work, the outcomes and actions that emerge may be wrong, confused, or lacking a…
- How establishing a company brain can support more accurate, cost-effective AI and autonomous agents.
What happened
An MIT Technology Review Insights poll finds that while every organization surveyed is using AI today to some degree, fewer than one in five (16%) are extracting transformative value from their deployments. The largest percentage of respondents (40%) say they are seeing moderate gains in specific tasks or teams, while 21% report meaningful gains, leaving 23% that are seeing minimal returns or none at all.
Why it matters
Companies are mostly still piloting AI use cases (according to 38% of respondents) or using it to assist employees’ work with tools like co-pilots or chat assistants (35%).
Summary by Nerd News Network. Read the full article at MIT Technology Review — AI via the links above and below.