Generative AI (GenAI) is a tool, not a solution. While it can produce insights of enough significance to shift business models and reshape entire industries, the output doesn’t become an action until its integrated with other applications. It is imperative to integrate GenAI with your existing cloud environment and enterprise applications to add insights to existing workflows. But everything from selecting the right API to GenAI embedded app management can be challenging to execute.
While the elegantly simple user interfaces and the natural language capabilities of large language models (LLMs) make using GenAI simpler, the technical difficulties in setting up and integrating GenAI with other applications often impedes adoption.
This not only blocks users from getting down to business, but also creates a significant bottleneck for capitalizing on this new class of disruptive AI models. According to Foundry’s 2023 AI priorities study, companies are hoping to benefit from GenAI capabilities by augmenting the following existing tools and systems:
- 55% – Productivity/collaboration
- 45% – Marketing/sales
- 41% – Security
The majority (85%) think productivity and collaboration tools are the most likely place to generate fast ROI from GenAI augmentation.
However, integrating GenAI with these and other platforms, services, and applications is complex and often burdensome. According to the Foundry survey, top issues include:
- 45% – Data integration
- 45% – Security and privacy
- 34% – User experience
Companies in highly regulated industries like healthcare anticipate additional challenges in security and data privacy (60%) and data integration (56%) challenges, according to the survey.
How to easily integrate GenAI with existing workflows in AWS
It takes more than a tool to solve myriad integration issues. Little in the development work is easy or straightforward. Start with APIs. Selecting the right one for the app integration and GenAI capability pairing can be a confusing exercise.
A platform that is native to your cloud environment and designed to automatically manage the technical issues in integrating GenAI with ongoing workflows provides a more streamlined and seamless way to rapidly adopt and adapt to GenAI use in the enterprise.
A prime example of such a platform is ClearScale’s GenAI AppLink for AWS. Built on AWS native technologies, AppLink easily automates or augments integration steps.
- AppLink plugs GenAI into work in progress without interruption, delays, or long implementation times.
- The API selection guidance function ensures alignment with company goals and workflow demands.
- Sample request management enables sample testing to discover how GenAI is behaving in workflows through sampling.
- The AWS infrastructure can be customized to optimize GenAI performance in workflows and apps.
- Computational notebooks and software libraries are optimized for AI-related tasks and comprehensive documentation guides your team though all of this, step by step.
The bottom line
What’s the answer to streamlining and accelerating GenAI adoption in the enterprise? A platform that can automatically manage the technical issues around integrating GenAI with ongoing workflows.
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