The Coming Year: GenAI Enters The Roll-Up-Our-Sleeves-And-Get-To-Work Phase
The novelty with generative AI has worn off — it's time for the hard and purposeful work to begin.
What is the current state of generative AI hype?
The initial excitement surrounding generative AI has diminished, as noted by Gartner, which states that generative AI has passed the 'Peak of Inflated Expectations.' Moving forward, the focus will shift to practical applications and standardized processes that aid in implementation.
What challenges do companies face in adopting generative AI?
Companies often struggle with engaging employees, addressing concerns about job security, and keeping up with rapid advancements in AI technology. Additionally, issues related to data privacy, system integration, and skill gaps present significant barriers to successful adoption.
How can organizations effectively implement generative AI?
A human-centric approach is essential for effective implementation. This includes robust change management, training, and communication efforts to engage employees. Additionally, embedding AI capabilities into existing tools and workflows can facilitate smoother adoption and quicker realization of benefits.
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The Coming Year: GenAI Enters The Roll-Up-Our-Sleeves-And-Get-To-Work Phase
published by Cornerstone Data Systems, INC
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