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An insightful roadmap for software companies and enterprises to explore Gen AI applications, navigate AI maturity curves, and embark on a journey of experimentation.
At Cybage, we collaborate closely with diverse clients who deliver software or software-enabled services to their clientele. Over the years, we have collaborated with clients from various industries, each at different stages of maturity in Gen AI. What is abundantly clear is that there needs to be a universal consensus on the best path to adopt Gen AI. People have differing views on its feasibility, return on investment (ROI), and applicability across different contexts.
The importance of a mature approach to Gen AI adoption
The critical insight we have gained from these discussions is that companies must approach their Gen AI journey with a sense of maturity. Gen AI is not a one-and-done feature or a mere enhancement to existing workflows; it represents a fundamental shift in how products are utilized, and work is conducted. At Cybage, we conceptualize Gen AI use cases within a maturity curve framework and recommend an adoption strategy that aligns with this curve. In other words, you can only expect Gen AI to revolutionize your entire product experience and workflow after a while. Instead, you must lay the foundation and build incrementally to reach that transformative stage.
The maturity curve of enterprise/product use cases
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This progression illustrates how companies can gradually integrate Gen AI into their operations internally and externally. It corresponds to the technical complexity of the solutions involved. It begins with implementing simple Gen AI Retrieval Augmented agents for support and internal knowledge-sharing tasks. As you progress along the curve, you move into more actionable Gen AI territory, experimenting with extensive vector databases, multiple Large Language Models (LLMs), and fine-tuning.
The long-term promise of Gen AI
It is crucial to emphasize that businesses that delay recognizing the value of incorporating Gen AI into their products are making an error in judgment by immediately dismissing its relevance or significance. Even if Gen AI takes time to apply to your use cases, long-term applications will emerge, regardless of your product or industry. Think of GPT-3.5 and similar LLMs as akin to the early days of web browsers like Netscape when internet search and browsing were in their infancy. Expect a similar progression as LLMs continue to improve, become more aligned with your needs, less biased, and more actionable. This evolution mirrors what we witnessed with cloud adoption curves in companies. Those who strategically and modularly migrated to the cloud were better positioned than those who waited too long and had to undertake large-scale, one-time migrations. Your Gen AI strategy should be similarly mapped, measured, and incrementally developed.
Let’s embark on this transformative journey together!
Are you looking for assistance on your Gen AI journey? Do not hesitate to connect with Cybage. We are not just a partner; we are your dedicated, honest, and aligned ally on this exciting journey! Our passion lies in collaborating on research-driven Gen AI projects, where we become your trusted thought partners every step of the way. Let’s embark on this transformative journey together!
Originally published on Medium - https://medium.com/@genai_cybage_software/integrating-gen-ai-in-your-product-ecosystem-c6de8d136b03
