How to Leverage Data and Technology in an Increasingly Automated World

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With the advent of process automation and machine learning (ML) technologies, companies are increasingly faced with new data and information, as well as growing pressure to adopt new tools which they may not know how to take full advantage of.

In fact, in Deloitte's State of AI in the Enterprise survey, 39% of respondents identified data issues as one of the top three challenges they face with AI initiatives. It's like finding a needle in a haystack with a metal detector that's too complicated to use: a waste of time and resources and a false sense of competitiveness.

But how do industry innovators, such as field service organizations (FSOs) that typically send technicians to remote locations to install, repair or maintain equipment, meet the challenges of a world of increasingly automated? The answer lies in organizational changes to replace legacy technologies, break down data silos, and take full advantage of artificial intelligence (AI) to its full potential.

Replace legacy technologies

FSOs have traditionally focused on optimizing efficiency and service quality through process improvements and management software updates. Yet traditional methods are no longer enough to show business value to their customers.

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As companies begin to focus on offering outcome-based service models, they need to be prepared to launch services such as predictive maintenance, so they don't risk reverting to the failure/failure model. repair where they are constantly updating existing systems. However, moving towards a results-based model involves a level of digital transformation that poses several challenges. It can create an IT environment that is overly complex and includes many applications and systems with differing update and release rates or security features, often leading to high IT maintenance costs and possible business interruptions .

Additionally, replacing an old system with one that cannot make optimal use of data while simultaneously promising AI compatibility can lead to project delays and additional costs.

> Fix gaps in data and AI-based technologies

Optimizing the productivity of a company's workforce and delivering an excellent customer experience is a challenge in today's on-demand world. To deliver greater business value to customers, FSOs must use data and intelligence to both meet and anticipate customer needs. However, this type of innovation requires breaking down data silos and coordinating processes across the organization to provide employees with customer insights.

Additionally, with AI-integrated software, businesses have the ability to automate repetitive tasks, process complex data sets, and more. However, with 80% of companies already using some form of automation technology or planning to do so within the next year, it can be difficult for them to start the process of delivering the value promised by AI. without a third party guiding them through the best. AI and data solutions.

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