Insights

Augmented Reality: How its Transforming the Oil and Gas and Field Services Industries

From Analysts to Operators, the vote is in:  Augmented Reality has arrived in the Energy Sector

Augmented Reality, or AR, is known to most as the less glamorous sibling of virtual reality. However, as virtual reality shifts into the consumer market targeting the gamer world, AR steps into the spotlight as a business tool many companies are employing. AR has become a part of enterprise workforce training. It simulates on-the-job experience and offers performance support to better train employees for when they are in real-time situations.

3 Ways Field Service Technicians Can Improve Customer Service

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.

Why would a Roofing Contractor care about the Microsoft cloud?

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.

How to turn a traditional business into a platform-based success

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.

Making AI Success

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