Meta launches enterprise AI platform to drive business opportunities
Meta announced the launch of its new Meta Enterprise Platform , which it hopes will drive more business adoption of its artificial intelligence products, and provide another revenue pathway for its increasingly costly…
Meta announced the launch of its new Meta Enterprise Platform, which it hopes will drive more business adoption of its artificial intelligence products, and provide another revenue pathway for its increasingly costly AI business.
Meta CEO Mark Zuckerberg announced the launch, explaining that the company’s enterprise offering will help businesses utilize its evolving AI tools to help them grow and transform in new ways.
As per Zuckerberg: “We believe superintelligence will create significant new opportunities for all people and businesses. [...]Meta Enterprise Platform will use our strengths that few other companies have: advanced models, leading agents, large-scale infrastructure, and years of working closely with many businesses.”
Zuckerberg said that the offering will enable businesses to utilize the power of its Muse agents, Muse API and Muse Code offerings to provide more automated support for internal functionality and operations.
“Over the coming years, AI will fundamentally redefine how organizations of all sizes innovate, grow, serve customers, and run business operations,” Zuckerberg said. “Meta has a unique role to play because it is bringing together advanced models and leading agents with a proven track record of helping millions of advertisers and hundreds of millions of businesses scale.”
Former MongoDB CEO Chirantan Desai will be brought in to Meta to lead the project. MongoDB provides enterprise database solutions.
Meta’s business-focused AI push comes as the company looks to establish a more direct path to profit stemming from its massive AI infrastructure investments. Meta has committed to spending more than $600 million on AI infrastructure projects in the U.S. alone, with the company’s full financial commitment to AI likely now exceeding more than $1 trillion.
That massive outlay has raised questions from investors as to how Meta can ever possibly generate a profit from that spend, with Zuckerberg and his team now working to establish a business framework for the next stage.
The question then is whether businesses will trust Meta to handle their internal data. The company has a long history of data misuse cases, while it also has a history of ending business-focused projects at short notice, and squeezing more out of advertisers however it can.
While Zuckerberg is keen to talk about the company’s proven track record in helping businesses, Meta’s past actions in this vein will still linger in the minds of many potential enterprise customers.
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By Andrew Hutchinson and Emma Wiltshire •
Nov. 2, 2022
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