By Robin Austin, Contributor, CIO | 23 JULY 2019 05:19 PT
From around every corner, from behind every door and through every window our lives are being disrupted by artificial intelligence with embedded machine learning. The escalation and widespread global availability of AI/ML solutions in every possible emergent embryotic product has triggered it as the 'top of mind' blueprint with the majority of global corporate executives with many retail and healthcare Executives as early adopters.
Early adopters embrace AI/ML
Only early adopter corporate executives with a better than average understanding of the AI/ML cognitive processes have whole heartedly embraced AI/ML implementation across the enterprise. The majority of the rest of corporate executives are evaluating AI/ML in baby steps measuring risk vs. return. Following those executives and measuring AI/ML concerns and prospective adoption are top data analyst organizations like Deloitte, McKinsey, PricewaterhouseCoopers (PWC), Forrester and IDC. Surveys have shown that during early stages of AI/ML development, there was a rush to implement across the whole enterprise.
Recently, adoption has slowed with executives beginning AI/ML pilots in predictable successful segments of their operations. As AI/ML products and services are developed the industry predicts at least 73% of corporate executives will implement some form of AI/ML not to eliminate people but to more effectively reposition them and fill gaps in a cost-effective manner. Retraining not only keeps the employee loyal and growing within the company but fills a position desperately needed that has been hard to fill with less cost.