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Why Enterprises Are Lacking Behind In AI Adoption?
Since the last decade, the advancements in Artificial Intelligence, Machine Learning & Deep Learning technologies have taken place at a rapid space. The use of several smart applications & products that are powered AI & ML technologies have proven to be highly successful in helping the enterprises across various sectors to scale & grow. The impact of AI is wide spread on a global level & many enterprises are coming forward to invest heavily in this ingenious technology to stay competitive.
However, still a lot of enterprises are failing behind in their AI adoption rate owing to various reasons. One of the primary reasons for this set back is the lack of infrastructure that is essential to make a successful transition into AI. Skill gap issue is also another reason that hinders the enterprises AI adoption rate.
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Now, let’s look at various factors that are hindering the enterprises AI adoption rate.
Lack Of Infrastructure-
Setting up your infrastructure to meet up with the requirements of AI involves a lot of money. Enterprises also require massive amounts of data that would help in powering the AI systems. Lack of resources means that enterprises would be finding it difficult to achieve success in their AI adoption
Shortage Of AI Talent-
Skill gap issue is one of the major reasons why enterprises fail to achieve success in their AI adoption rate. Employees inability to understand the advanced aspects of AI technology would simply hinder the enterprises AI transition process.
This is the reason why most of the enterprises are coming forward to recruit the best talented professionals in AI to work in their workforce. Prepare your career in AI to perfection by being a part of Analytics Path AI training program.