Blueprint 7:
Deploy AI solutions
SHI’s Mindspark AI Advisory team collaborates with your business and technology stakeholders to create, build, and implement customized AI applications that deliver measurable business value.
Identify the problem you want to solve: Begin your design phase with a clear understanding of the problem AI should address. Ensure AI fits into your overall business strategy.
Prioritize high-quality data: For your first projects, target areas where you have clean, reliable, and actively managed data.
How SHI can help: We visualize your concepts and validate feasibility through expert solution design and POC development.
Centralize tools: The AI ecosystem is vast, making choosing the right tools, libraries, and frameworks as overwhelming as it is essential. Cloud APIs are great ways to tap into top foundation LLMs.
Keep it simple: Unless you have strict accuracy or data privacy requirements, you shouldn’t need to train custom models or do traditional fine-tuning. APIs, retrieval augmentation generation (RAG), and prompt engineering will solve most of your use cases and allow you to bring your own data into your chosen model.
How SHI can help: Our team has decades of combined AI development experience. Lean on us to build robust, efficient AI apps that maximize your ROI and meet your goals.
Test extensively: Before rolling out your AI solution, perform stress, performance, security, and bias/ethical tests, as well as any other tests or scenarios you may require.
Plan for change: AI could behave differently in the real world compared to your testing phase. Be prepared to monitor, learn, and adapt your models as they interact with the real world.
How SHI can help: Our AI implementation services ensure immediate utilization and seamless integration into your existing processes and systems. We have practical experience building:
AI-powered assistants.
AI-powered analytics.
AI-powered service desks.
AI-powered coaching.
AI-powered workflow optimizations.
AI infrastructure integration and manufacturing.
Monitor performance: Regularly track the performance of your deployed AI models, including accuracy, precision, speed, and other relevant metrics.
Continual learning: AI models must continually learn and adapt to new data. Have a process in place to retrain or update your applications to keep them relevant and effective.
Blueprint 7: Deploy AI solutions
