Artificial intelligence investment grows, but barriers remain


While the potential of machine learning and AI has helped address several problems across many industries, it has also created an acute imbalance in the supply and demand of AI talent, says Oliver Tavakoli, CTO at Vectra. Cybersecurity companies have to deal with this shortage as they compete with major organizations for talent and "have resorted to AI-as-a-sidecar (solving a small number of peripheral problems through the application of AI) rather than AI-as-the-engine (building the core of their offerings around AI and solving peripheral problems with conventional techniques). Predictable, the former approach has resulted in a large gap in what they deliver vs. the value customers think the AI should be delivering," Tavakoli explains.

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