What factors do you need to consider when selecting the right AI for your organization? This video looks at the budgetary and use case scenarios associated with four categories of AI: general productivity, platform native AI, custom integrations and greenfield implementations.
Add on, greenfield or Copilot?
According to CNBC, AI is the biggest budget item for almost 50% of tech executives. So the question becomes, “Where is the best place to spend all that budget wisely?”
AI initiatives are not just a matter of pointing an expensive LLM at a problem. Not every application of AI requires a high-powered LLM. There are many AI-based services that can solve point problems without the overhead of custom models. Knowing the right size and types of AI services to fit your use cases is a key skill in managing cost and complexity.
Developing an AI roadmap demands the unique convergence of domain expertise across data, cloud and cybersecurity. It also includes creating an ethical framework to ensure compliance with organization policies and guidelines.
At Catalyte, we have helped organizations across the AI maturity spectrum maximize ROI from their AI budget investments. We can help teams make good decisions about AI initiatives; whether it’s adding AI features to existing systems, greenfield AI implementations, AI productivity adoption or simply a better utilization of your existing resources by using Microsoft Copilot for automation.
by Catalyte
by Catalyte
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