Success of AI and Enterprise Collaboration Tools Depends on Ecosystem
The promise of artificial intelligence and machine learning for improving the way employees and departments collaborate with one another has tantalized forward-looking business leaders for a long time.
Now, organizations may finally be able to turn that promise into tangible results, thanks to recent advancements from major players like Microsoft, Salesforce and Oracle in folding AI into their enterprise collaboration tools.
But many experts on the front lines of tech deployments say that internal development of artificial intelligence by these major vendors is just part of the equation. They believe that for AI to truly take enterprise collaboration tools and business data to the next level, the true variable for success will be how well the big vendors continue to find ways to bring outside AI functionalities into their platform through an ecosystem approach that relies on solid integration and partnering strategies.
How will AI change the game?
The opportunity for companies to target their engagement with customers can potentially advance by leaps and bounds. For example, if an insurance company were able to pull together predictive weather intelligence with customer data, then it could potentially start sending automated notices to clients that could reduce weather claims. A system programmed to start sending customers text alerts to move their cars when there's a high probability for a hailstorm in their area could be beneficial for all parties.
"The alert shows my insured vehicle street-parked with a hailstorm 72% likely to hit ground in 45 minutes," said Rip Gerber, Chief Marketing and Alliance Officer at Vlocity Inc., a Salesforce independent software vendor focused on the insurance industry. "That's only one small example of the 'industry-specific AI' that will save consumers and companies billions over the next five years."
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