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The Coming Year: GenAI Enters The Roll-Up-Our-Sleeves-And-Get-To-Work Phase
As the calendar flips to a new year, it’s time for the AI community to shift gears and get down to business. According to Gartner, we’ve officially moved beyond the Peak of Inflated Expectations and are now entering the roll-up-their-sleeves-and-get-to-work phase.
Industry leaders echo this sentiment, stating that it’s time to put aside the hype and focus on making tangible progress. “While there is a lot of hype around AI, we have seen impressive outcomes in such a short span of time,” says Sri Elaporu, global head of the AWS Generative AI Innovation Center. “Companies are already seeing real benefits of generative AI.”
The hard work begins now, and it’s essential to acknowledge that this shift is long overdue. As Steve Chase, vice chair of AI and digital innovation at KPMG notes, there has been a lot of hype around GenAI, especially in the short run, which can lead to unrealistic expectations and pressure on teams to deliver immediate results.
However, many companies are already reaping tangible benefits from their AI investments. Take Rocket Mortgage’s experience with Amazon Bedrock, for instance. By leveraging genAI, they’ve seen a 10% increase in resolutions during the first call to customers. Similarly, Bayer is using genAI to accelerate and reimagine food development across its vast farmland.
To achieve success, it’s crucial that organizations adopt a human-centric approach to AI implementation. This involves focusing on robust change management, training, and communication efforts. “Engaging with employees requires connecting with them on an emotional level, using storytelling techniques to share examples of how the technology can be used and celebrating successes,” advises Chase.
Furthermore, reskilling is crucial as many companies lack the necessary skills to fully leverage AI technology. Adoption occurs faster when AI capabilities are embedded into tools or workflows that employees are already familiar with, rather than requiring them to navigate a separate system.
It’s time to stop talking about AI’s potential and start making it work. The industry has had its chance to shine, and now we need concrete results.
Source: www.forbes.com
