IT and business leaders should consider how they will roll out AI in the future, how they will integrate collaborative data sources, and what platform(s) makes sense for their environment.
At the recent Cisco WebexOne conference in Fort Lauderdale, I was struck by something that featured guest Alexandr Wang, founder of Scale, said during the opening keynote with Jeetu Patel. When Jeetu asked Alex to share his thoughts on how companies should be thinking about AI, Alex responded (I’m paraphrasing) that every enterprise is sitting on data that is unique, specialized, and differentiated, and that the most exciting area is how companies will use their data to advance AI.
This view highlights the evolution of AI in the enterprise. The last year or so largely focused on bringing AI into organizations in somewhat limited fashion, with a great deal of attention paid to how companies can restrict what is shared with large language models for training purposes. Companies in the collaboration space have introduced opt-in policies to assure customers that no company data is being used for training purposes. This paradigm is now changing.
The Value of AI Comes from the Data
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