Every year, enterprise companies make IT investments to help keep them on the leading edge of innovation. In doing so, they select software vendors and partners who can help them capitalize on advanced technologies and maximize their return on investment. Today, this means harnessing the power of generative artificial intelligence (GenAI) by exploring the opportunities to leverage it within traditional and evolving IT infrastructures.

The growing case for GenAI

Businesses now have access to a plethora of GenAI offerings, ranging from predictive analytics to automated decision-making systems. This explosion of GenAI solutions provides organizations with access to powerful tools that can revolutionize their IT infrastructure. But deciding where to start often requires partnering with the right software vendor(s).

GenAI can automate routine tasks, analyze vast amounts of data, and generate actionable insights, allowing employees to focus on high-value, strategic initiatives. These benefits can also lead to cost savings, faster decision-making, and improved customer experiences — but only when tailored to the organization’s needs. This is where software vendors play an integral role.

Understanding how GenAI aligns with the organization’s goals — including where it can optimize workflows and drive innovation — should be the aim of any reputable vendor. By conducting a thorough assessment of the industry and operations, vendors can help enterprises choose and implement GenAI solutions to best suit their objectives.

The power of GenAI at work

The gamut of GenAI use cases grows larger by the day. Harnessing this technology as part of a broader GenIT infrastructure often comes down to pairing GenAI’s capabilities with core business opportunities. Examples include:

• Code generation: GenAI can generate code from natural language descriptions or complete code snippets. This strategy can help developers write code more quickly and accurately and focus on more complex tasks.
• Documentation: Companies can use GenAI chat models to create natural language documentation or even translate content into different languages. This approach can improve the clarity and accessibility of documentation.
• Customer support: Chatbots and other customer support tools can answer questions and resolve problems quickly and efficiently. They’re often a plug-and-play starting point for enterprise organizations seeking to experiment with GenIT.

The list of opportunities could go on, with infinite applications based on AI’s generative abilities and the organization’s specific needs. Vendors act as the go-between and are mostly responsible for functional integration.

Real-world GenAI examples

Some of the world’s top software companies are leading by example when it comes to embracing a GenIT infrastructure. These companies aren’t just using GenAI; they’re proffering solutions that allow other organizations to capitalize on it:

• Microsoft is employing generative AI in a number of its products, including Azure DevOps, Visual Studio, and Copilot. For instance, Azure DevOps utilizes GenAI for code suggestions to identify potential bugs and create test cases.
• Google deploys generative AI in GitHub, Google Cloud Platform, Android Studio, and others. GitHub uses GenAI to translate code into different languages and adapt code based on natural language inputs.
• Salesforce leverages the power of generative AI in its Einstein and Tableau products. Einstein utilizes GenAI to generate lead insights, create personalized marketing campaigns, and predict customer churn. Tableau employs GenAI to produce data visualizations and insights.

Many organizations already use Microsoft, Google, and Salesforce solutions, which opens them up to an even broader GenIT infrastructure. By implementing more GenAI-powered software and building collaborative solutions across them, enterprise organizations can more easily make the shift to an AI-driven operations model.

Build the GenIT infrastructure of the future

GenAI is a powerful technology with the potential to revolutionize the software development process. In many arenas, seismic transformation is already taking place. As software vendors incorporate generative AI to improve their products and services — and help their customers further expedite their transition to GenIT — you can expect to see even more innovative uses of generative AI in the future.

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