logo
logo

5 reasons businesses are struggling with large-scale AI integration

avatar
Jason Vest
img

Despite the positive influence AI-supported activities have on business, a successful implementation won’t happen overnight.

The implication of successful AI adoption is far reaching for businesses undertaking full-cycle digital transformation, which places equal emphasis on automation, innovation, and learning.

While employees may experience trepidation at the prospect of AI reshaping or eliminating day-to-day tasks, their productivity could actually increase because more of their time can be directed toward activities that produce value-driven business outcomes.

Executives will need to consider the following five areas as they progress with digital transformation and move to invest more heavily in AI.

While SDIs provide flexibility, the structure is limited by the source fixed source code and the administrator who is writing the scripts.

Moreover, while neural networks have existed for decades, only now is massive computing power available at a reasonable cost, which in turn has helped increase the number of layers in these networks.

collect
0
avatar
Jason Vest
guide
Zupyak is a free content platform for publishing and discovering stories, software and startups.