Insights

In a previous post on Omni-Channel service, I mentioned that customer service and satisfaction is becoming an increasingly important point of focus. Outside of the regular contact channels for customer service, field service technicians are perhaps the most important touch-point between company and customer.

Rain clouds and thunder clouds have always mattered to roofing and other specialty contractors, but in today’s world, the Microsoft Azure cloud can be just as important. One slows things down while the other speeds things up.

The experiences of successful digital businesses such as Amazon, Airbnb, WeChat, Didi, Uber, Spotify or Expedia have implications for both consumer markets and the digital transformation of businesses across a wide spectrum of industries. These platform-based business models have four characteristics in common: they are open, scalable, connected and intelligent. Their success is largely due to their focus on a two-sided platform and the creation of a holistic business that skews a siloed approach.

Contents

Why AI projects fail?3

Unrealistic expectations4

Wrong problem statement4

Wrong understanding of business4

Wrong Data4

Data size4

Limited EDA (Exploratory Data Analysis)4

Wrong tools, model and people4

Wrong success metrics5

Conclusion:5

Making AI Success

While organizations work on their enterprise mobile strategies doing mobile application backend development, they encounter predominant challenges and complexities like below

1. In-house expertise gap for mobile application backend development