"This has been a big week for AI companies signing enterprise deals, with Zendesk unveiling new AI agents that are supposed to be able to resolve 80% of customer service issues, Anthropic and IBM announcing a strategic partnership, and Deloitte also announcing a deal with Anthropic. Plus, Google announced a new AI-for-business platform. That doesn't mean it's going to be smooth sailing for big organizations using AI."
"In fact, the timing of the Deloitte announcement was a bit awkward, coming on the same day the Australia Department of Employment and Workplace Relations said the professional services and consulting firm would have to pay a refund for delivering a report to the department with what appeared to be a number of AI-generated hallucinations. On the latest episode of the Equity podcast, Kirsten Korosec, Sean O'Kane, and I discussed the latest AI headlines, contrasting it with last week's news about the new Sora app."
"Anthony: I think this actually ties back to our discussion last week about some of these GenAI social networks. We were framing that as potentially a way that these AI companies could eventually make money, which I definitely think is the case, but there's a long road to get there. And the enterprise, sometimes people don't find it quite as interesting or sexy as consumer, [but] it's actually where the real money is."
Major enterprise AI deals were announced by Zendesk, Anthropic with IBM and Deloitte, and Google unveiled a new AI-for-business platform. Zendesk introduced AI agents claimed to resolve 80% of customer service issues. The Deloitte-Anthropic announcement coincided with the Australia Department of Employment and Workplace Relations requiring Deloitte to refund payment after a report contained apparent AI-generated hallucinations. Enterprise contracts are presented as the most immediate path to significant revenue for AI companies, while consumer-facing GenAI social apps like Sora represent a longer-term monetization opportunity. Implementation risks and model readiness remain key challenges for large organizations adopting AI. Timing and quality controls are pivotal to successful adoption.
Read at TechCrunch
Unable to calculate read time
Collection
[
|
...
]