By now, you understand the heralded benefits of AI: improved efficiency, increased productivity, unleashed creativity – the list goes on. But you can only bring these capabilities to your enterprise if your team has the necessary skills to understand, implement, and adopt them. Broad-brush training may improve basic productivity across the board, but more targeted interventions are necessary to build a comprehensive enterprise AI solutions stack. A gap assessment of AI capabilities can help you pinpoint what AI training or upskilling opportunities to prioritize, and it follows a simple framework:
- Define your desired future state with AI integration.
- Evaluate your current state.
- Identify gaps.
- Develop a strategy to address gaps.
- Monitor and optimize.
Gaps identified. Now what?
As with any business goal, developing a strategy for upskilling and training with measurable outcomes is key. This can be particularly tricky with skill building, because “learning” can masquerade as the objective itself instead of the way to achieve it. Forrester has socialized that, in order to drive business results from generative AI (GenAI), companies need to raise their competency on learning — incorporating formal training with social learning, as well as on-the-job experience.[1]
An effective training and upskilling plan addresses this by connecting learning goals to measurable outcomes. For example, let’s say your enterprise wants to improve code generation and debugging processes. Your developers have the skillset to do this manually, but if they develop the skills to implement and leverage retrieval-augmented generation (RAG) tools for code generation and debugging, they would be able to spend more development time on new projects. Plus, they’d know what to look for in AI-generated coding so they don’t let it run unsupervised.
Investing in training and development opportunities not only helps your teams become more efficient, but it also provides the skills and enterprise-backed culture that foster innovation.
There are some robust tools available to help you identify where AI can have an impact in your workforce based on the various roles in your organization. By example, if you’re a user of OpenAI, JobsGPT from SmarterX.ai is designed to assess the impact of AI on jobs.
Once you provide a job title or description, JobsGPT will assess the level of exposure that role has to AI based on a rubric born from the OpenAI 2023 Research paper “GPTs are GPTs,” on a scale of 0 - 11. It then breaks the role into a collection of tasks so you can determine where to focus your learning and development efforts.
Key considerations
- Audit your existing technology stack:
- Gain insight into existing tools that can be leveraged to enable AI, and identify new tools or needed functionality before investing resources into new AI projects that could go beyond the capabilities scope of existing tools and processes.
- Use a comprehensive AI readiness index
- Understand your enterprise’s AI maturity level to identify crawl, walk, run strategies to guide decision making and resource allocation for AI solution stack development. Benchmarking against your industry peers and learning from use case-based customer stories can help you identify potential areas for competitive advantage.
Honing your skills with Intel®
The AI landscape can be overwhelming with its rapid and disruptive advancements but getting started on your AI journey doesn’t have to be. No matter your AI readiness level, Intel can help with offerings in data, technology, capabilities, and training. Our full suite of AI solutions, from AI PCs to Gaudi® 3 accelerators, can power inference needs from small to large to massive. We're developers at heart, and we’re committed to the open source community and to making developer’s jobs easier. Our solutions are optimized for open-source software and our developer zone provides free, on-demand training on topics like AI land machine learning and webinars on industry leading topics like building and deploying AI agents.
[1] Forrester Research, Inc. How To Design An Effective Learning Strategy For Workforce Generative AI, Dec 2024
[2] Source: SmarterX.ai, https://smarterx.ai/jobsgpt