Apple recently announced its pause on AI notification summaries for news and entertainment.
This followed a wave of backlash for the generation of inaccurate news alerts.
The next IOS update will disable the notification completely until a future update after refining the service.
Apple's backtrack comes as hallucinations continue to sidetrack generative - and now agentic - AI projects.
Consider Amazon's recent struggles to rebrand Alexa as an AI Agent. It cited hallucinations as a continued obstacle.
Yet, despite widespread talk of hallucinations, many contact centers pressed ahead and implemented auto-summarizations.
After all, contact center providers promised that this would be a simple first use case for service teams to help build their confidence in GenAI.
Now, those auto-summarizations don't seem quite so easy.
Auto-Summarization Adoption Is High in Contact Centers, But It Has Difficulties
Keen to jump on the heels of the AI rollout, many contact centers have jumped on the bandwagon of case auto-summarization.
The last 18 months have seen a huge uptick in service providers implementing auto-summarizations.
Indeed, according to a recent CX Today report, 38 percent of contact centers have already done so.
Loading these auto-summarizations into the CRM post-contact has proven helpful in tracking customers’ case history, lowering handling times, and saving costs.
Yet, some contact centers have found that - while models have performed well in POCs and pilots - scaling them to enterprise-grade production has its difficulties.
That's according to Swapnil Jain, Co-Founder & CEO at Observe.AI.
In a LinkedIn post, Jain shared the following list of what it takes for enterprise contact centers to make their auto-summarizations effective: