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Despite the AI hype, organizations are finding the path to successful implementation riddled with obstacles. Many firms are encountering unexpected challenges in translating AI’s potential into tangible business outcomes.
Success stories are starting to emerge, though, as companies learn to navigate these hurdles and adapt their strategies accordingly.
Better outcomes with AI
In a report on CIO.com, Hannah Calhoon, vice president of AI for employment website Indeed, highlighted how her organization used AI to make existing tasks faster, easier, and of higher quality than before.
In one example, the job matching and hiring platform company turned to LLMs to add a short, highly customized sentence in the emails it sends to job seekers about open positions matching their qualifications.
The result? The personalization yielded a noteworthy 20 per cent increase in the number of candidates applying for those position – and a 13 per cent increase in successfully landing the job.
It’s nothing to scoff at considering that Indeed sends about 20 million such emails a day – and how the personalization would have been impossible without AI.
Enhancing productivity
Moe Asgharnia, CIO of a firm called BPM, spoke of how it built a custom AI tool earlier this year for employees to quickly research tax laws and tax scenarios.
According to Asgharnia, the custom-built AI sifts through vast amounts of information to yield insights in seconds, allowing even junior workers to work far more effectively.
“That has enhanced our response times and really supported better resource utilization across the firm,” he said.
On her part, Calhoon thinks workers will soon experience multifold gains in productivity with AI. She cited examples such as computer coding that currently cannot be done without specialized training, and how her employees will be able to do so at a level and speed exceeding what experts can do today.
“AI will let us automate away a lot of the toil that people don’t like and create more moments and space for human connections, problem-solving, and collaboration,” she said. “There is an opportunity to use AI to make work better, certainly at Indeed but also for millions of people around the world. That is transformational.”
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