Companies with the highest potential to master AI will be the ones with the biggest databases and the richest analytics. The AI future belongs to the ones with comprehensive datasets that draw on historical data to help programs master topics from all angles. With this in mind, first-mover advantage is a real and very powerful differentiator.
- Salesforce.com with CRM & Sales AI
- Google with enterprise search
- LinkedIn with professional networks
Same goes for market niches where innovating companies get data search, management and analytics right first. Take 360Globalnet and CSC in the insurtech world.
It tackles the priority to let insurance professionals access and analyse the data that is currently inaccessible but vital in decision-making.
- Emails
- Free text in webforms
- Metadata in photos and videos
Once that data is opened up, managed and maintained to be analysed effectively, customers can plan to emove forward to the next stage and apply machine learning to wider and complete data sets. That still leaves AI further up the road.
For most enterprises, practical use of AI is not yet feasible. The actual solutions on the market are not very accessible, by and large. A good example of AI for the masses is Google introducing machine learning to the G Suite, formerly known as Google for Work. By shaving seconds off delays at every level, Google is trailblazing user-friendly AI. Not everything need be as complex as IBM Watson!
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