The existing diagrams of the vendor landscape are a confusing mess of logos piled together into a graphical logo salad that doesn’t really make much sense. In one corner, you have machine learning platform tools and right next to it are tools geared for financial assistants. Other than the placement of being next to each other, these tools and applications share little else. There’s no explanation of what those logos are, how they’re related to others in the same bucket, and how those buckets relate to others. Often these vendor diagrams are nothing more than a simplistic way of saying “hey look at how much is going on in the market”. But with over 8000 vendors marketing AI wares, this way of trying to understand the market leaves much to be desired.
Late in 2018, AI research and advisory firm Cognilytica published a comprehensive analysis of the market. As part of this, they released a classification of the AI vendor landscape with 4 major layers, 40 primary categories, and 100 subcategories. Through this classification, organizations can more clearly understand how the AI market is organized, make clearer comparisons between vendors, and gain insight into how different layers of the AI vendor stack relate to each other.
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