By Lori Perri | 3-minute read | October 17, 2023
Big Picture
Generative AI (GenAI) has the potential to automate a broad range of tasks and therefore boost productivity, reduce costs, and offer new growth opportunities. Because it doesn’t require hard technical skills of its users and is widely available, GenAI will level the playing field in terms of access to information and skills across a broad set of roles and business functions, making it one of the most disruptive trends of this decade.
By 2026, more than 80% of enterprises will have used generative AI APIs and models and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.
Source: Gartner
Benefits: workforce productivity, multidomain applications, democratization of information and skills, and innovation.
Rapid ideation and faster time to market for new products can democratize access to information, enabling contextual search and transforming information retrieval to be conversational, impacting both customers and employee experiences.
Improved efficiency and increased business productivity will accelerate manual or repetitive tasks, such as writing emails, coding and summarizing large documents.
Large language models (LLMs) enable businesses to connect their employees with knowledge in a conversational style
GenAI could enable a “low-and no-code” approach to product development, allowing simpler customization and creation by business technologists and citizen developers.
GenAI models, tools and applications are becoming available as application programming interfaces (APIs) in the public cloud, which has made it easier for developers to build applications without building or operating their own models.
Create a prioritized matrix of GenAI use cases and outline a timeframe for piloting, deployment and production across these use cases.
Quantify the business value of generative AI using both technical and business metrics, and measure it early and in a consistent manner.
Employ a change management approach that prioritizes employee training and well-being so they are able to use GenAI tools safely and confidently, while automating routine tasks.
“Generative AI will drive a democratized workplace, empowering employees with knowledge and skills to achieve their potential. IT leaders must harness its value to increase productivity, cut costs and create growth opportunities, while also mitigating its significant risks.”
3 things to tell your peers
GenAI has the potential to transform the nature of work, enabling businesses to drive growth and achieve success more quickly.
IT leaders must recognize GenAI’s transformative abilities, while simultaneously creating policies to mitigate risks.
It will enable a range of uses, from automating routine tasks to generating creative solutions for complex problems.
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Arun Chandrasekaran is a Distinguished Vice President, Analyst at Gartner, where his research focus is emerging technologies and trends, with an emphasis on artificial intelligence and cloud computing. Arun is a trusted advisor to executive and IT leaders, which includes the board of directors, CEOs, CIOs, CTOs, and their direct reports. He has advised thousands of CIOs, CTOs, and conducted hundreds of workshops for several Global 2000 organizations on AI, Cloud, and Innovation. In addition, he covers the start-up ecosystem closely, advising venture capitalists and tech CEOs. He is part of the core team that analyzes emerging technology trends and creates the annual Gartner top strategic technology trends research. He also leads the Gartner hype cycle for emerging technologies. His research focus areas include emerging trends in AI, including Generative AI and AI foundation models, Public Cloud, and Cloud-native architectures.
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