Generative AI is streamlining workflows, speeding time to market, maximizing efficiencies, and presenting capabilities that would historically be very expensive (if not impossible) to create via other means. Newer versions have added accelerated paths to quickly prototyping/experimenting with enhancements to service and product lines.
Below are several reasons you can get your first Gen AI project up and running in 2024:
Lowered Barriers to Accessibility Through Cloud Offerings
Initial investment into Gen AI capabilities is affordable. Cloud offerings (like AWS Bedrock or Azure Open AI) have significantly lowered barriers to entry by offering up many world-class Large Language Models that have been pre-trained for a wide variety of uses.
You don’t need to train a LLM or a GPT, instead you can rent one and experiment with several as you look to improve your product lines/offerings with the many capabilities available from GenAI.
Novel Capabilities Unlocked
One of the most compelling arguments for adopting generative AI is the suite of novel capabilities it introduces, which have been incredibly challenging, to replicate with traditional software development techniques.
From creating realistic images and text, to synthesizing human-like speech, generating predictive models, generative AI can transform your data into actionable insights and creative outputs that can propel your business forward. These capabilities open new avenues for product development, customer engagement, and operational efficiency that can give your company a competitive edge.
Empowerment Through Low/No-Code Platforms
The rise of low/no-code platforms has been a game-changer in making technology more accessible to non-technical users, and generative AI is no exception. Many cloud-based AI services now offer intuitive, drag-and-drop interfaces that allow data scientists and analysts to build, test, and prototype AI models without writing extensive code. This flexibility enables teams to rapidly explore possibilities, iterate based on feedback, and tailor AI-driven services to meet specific business needs without relying heavily on IT support. As a result, your organization can be more agile and responsive to market trends and customer demands.
Prompt engineering has become one of the most accessible low code paradigms for accessing a wide variety of capabilities from less technical roles.
Reusable Structure for Multiple Services
A significant advantage of generative AI integrations is the ability to use the same underlying structure or scaffolding to create multiple services or capabilities. Once your team has mastered the integration process for one application, you can replicate that success across various domains, leveraging generative AI in several different areas (e.g. content creation, customer service, analytics, and more). This not only streamlines the development process but also maximizes your return on investment by expanding the scope of AI’s impact across your organization.
Customization and Continuous Improvement
Lastly, the nature of generative AI and cloud-based models allows for continued refinement and customization. As your business and AI usage evolves, so too can your AI solutions. Cloud platforms offer tools and services that enable you to fine-tune models, incorporate new data, and adjust parameters to improve performance and relevance. This iterative approach ensures that your AI integrations remain aligned with your strategic goals, providing lasting value and adaptability in a dynamic market environment.
Why Axian?
Axian’s been helping businesses and their production teams take advantage of emerging technology for over 30+ years. We’re experienced at enhancing digital products, training/accelerating production teams, and disseminating techniques/practices with our Clients as we deliver valuable results.
Axian‘s expertise in multiple cloud offerings provides pragmatic guidance (and “hands on keyboards” horsepower) to help business improve leverage technology for business value.
With Gen AI, Axian helps customers shorten their time to value by utilizing industry practices to avoid unexpected/wasteful cloud spending. Cutting through hype on the path to tangible value.
Why Now?
The tooling has never been more accessible or affordable. The market opportunity has never been larger.
Ask how Axian can help get you started with Cloud and Generative AI.