The Revolutionary Role of AI in Technology
The technology sector is leading the way with artificial intelligence (AI) integration, with research suggesting its adoption rates are higher than in any other industry. This reflects the significant value that many high-tech companies are securing from their AI investments at every organizational level.
A roundtable discussion organized by Workday revealed how leaders in the industry are capitalizing on this value, as well as how they’re integrating AI effectively into their workflows – and how they’re measuring their success so far.
Everybody now gets to engage with AI, says Sadie Bell, Vice President, Innovation at Hewlett Packard Enterprise. And this is really why there’s a revolution, because it’s affecting every person and every job.
In Search of Better Outcomes
AI supports every employee group, addressing individual needs and enabling tailored applications. “I’ve never seen a technology that is as personal as AI,” says Ben Askin, Chief Information Officer at Vertex. It helps with specific tasks, allowing me to orchestrate better outcomes.
Workers are moving beyond mere productivity gains to focus on the business value AI can deliver. Research shows 77% of professionals believe AI will have a high impact in the next five years, heralding more innovation and engaging work.
AI can eliminate manual tasks to give time back, explains Arnulfo Sánchez, Chief Accounting Officer at DataStax. It enables people to focus on storytelling instead of data consolidation.
Building Trust with Incremental Success
Each new success opens doors for further AI roll-outs. Many tech companies manage competing demands as they scale. Deployments that yield rapid ROI are crucial, underpinning confidence in the tech’s overall value.
Implementing AI incrementally is vital for building trust and engagement, as some workers are anxious about the implications of new tools. “Some people really take to it quickly, but others are more timid,” says Askin. Change management is as crucial as capability in the technology, emphasizes Sheri Rhodes, Chief Customer Officer at Workday.
Start Small to Think Big
Big-bang change can be risky, warns Sánchez. Start small, test and aim for low-risk areas. Each deployment has greater potential when users can build confidence in their abilities and maximize their use of the tools.
Bell mentions that employee upskilling is a key indicator of AI impact at Hewlett Packard. Investing in workforce capabilities enhances innovation and growth.
As tech employees navigate new tools gradually, they focus more on what matters in their roles. “Experiment a lot and check the results,” advises Rhodes. Always keep the human in the loop. It’s about empowering people, improving the way we work, and combining people with AI to progress toward a better future.
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