We often hear great stories about digital transformation and technology innovation in industries such as financial services, retail, and telecommunications. These sectors are typically early adopters of technology and are at the forefront of exploring new use cases. It’s no wonder, then, that many of his Microsoft customers in these areas were eager to be among the first to try out generative AI as part of the Copilot for Microsoft 365 Early Access Program (EAP).
On the other hand, some industries, such as construction, engineering, and law, have historically been slow to adopt new technologies. In fact, a 2023 Deloitte report found that only 26% of construction and engineering companies in Australia, Japan and Singapore are using AI and machine learning, and only 26% plan to use them in the future. Only 35% of him. Additionally, a recent study by Clio found that the world’s top 100 law firms are lagging behind in digital transformation.
Interestingly, some of the early adopters of generative AI include construction and engineering firms such as John Holland and GHD, as well as the Minter-Ellison law firm. They are bucking this trend and leading not only in their industry but globally as the first organization to adopt his Copilot for Microsoft 365 as part of their EAP. They also quickly recognized the significant impact of this generative AI solution and identified unique use cases with early adopters.
John Holland and GHD report that individual time savings are expected to be 30 to 60 minutes per day, with cumulative savings of 10 to 20 hours per person per month. The combined effects of these time savings at the organizational level are already beginning to be felt in both organizations. For example, Copilot for Microsoft 365 allows GHD to speed up the request for proposal creation process and reduce costs. John Holland sees the opportunity for generative AI in being able to redesign assets to reduce their carbon footprint.
Meanwhile, MinterEllison has overcome common barriers that law firms face when implementing new technology, including privacy and security concerns and cultural resistance to change. Adopting Copilot for Microsoft 365 fostered a culture of experimentation and knowledge sharing, allowing us to demonstrate the value of the technology to our employees and board of directors.
MinterEllison’s initial findings speak for themselves. At least half of Copilot for Microsoft 365 users save between 2 and 5 hours per day, and 1 in 5 save at least 5 hours per day. The company’s pilot users are rethinking meetings, starting documents faster, and optimizing how they manage email.
All three organizations emphasize the importance of human oversight in leveraging AI, ensuring humans remain at the core of this transformation, driving it and reaping the maximum benefits from it. Their people got their time back and started spending more time in their day doing jobs and tasks that are uniquely human.
Seeing organizations like GHD, John Holland, and MinterEllison leading the charge on innovation highlights the opportunity that generative AI presents in supporting digital transformation in sectors that have historically been slow to adopt new technologies. Masu. It’s exciting to see what’s possible in these areas and how quickly we can start to realize the impact of generative AI.
Today, we are experiencing major changes in the nature of work. By seamlessly integrating services like Copilot into existing software solutions like Microsoft 365, industries that were once hesitant to adopt new technologies are now able to easily adopt generative AI. You’ll be able to reap the benefits of powerful new ways of working that can transform sexuality and engagement.
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