Gen AI: What tools and resources do you find indispensable for enhancing your capabilities?

I've mainly used co-pilot for administrative tasks, but am looking to push beyond this in hopes of expanding my usage of its capabilities.

Yes, it was very educational for me to understand the progress of AI

For personal use I like using chatGPT for detailed research. Sometimes the prompts are long when I give details on what to exclude from the data set or what must be included and asking it to cite its sources.

For professional use my organization relies on Copilot so I use it for recording meetings then providing summaries and notes or action items. I also use copilot ot scan my emails each day when I start to generate Action items for me that I organize into priority rankings before I start working. Copilot also helps with fine tuning PowerPoints and pulling data in from linked excel docs.

For personal use I like using chatGPT for detailed research. Sometimes the prompts are long when I give details on what to exclude from the data set or what must be included and asking it to cite its sources.

For professional use my organization relies on Copilot so I use it for recording meetings then providing summaries and notes or action items. I also use copilot ot scan my emails each day when I start to generate Action items for me that I organize into priority rankings before I start working. Copilot also helps with fine tuning PowerPoints and pulling data in from linked excel docs.

I mainly rely on ChatGPT and Microsoft Copilot for drafting project documents and summarizing technical material, while Excel and Power BI help me clean and visualize project data quickly. These tools make it easier to turn complex engineering project information into clear insights.

Great question, Claudia. From an innovation lens, the most indispensable resources have been secure cloud-based LLM environments, strong data governance practices, and AI literacy across teams.

Rather than focusing on synthetic data or heavy fine-tuning, we’ve seen the most value from clean, well-classified internal data and clear guardrails around usage. For analysis and visualization, we still rely on established BI tools, with GenAI enhancing synthesis and insight generation.

The biggest enabler hasn’t been a specific tool — it’s been creating a safe, structured environment where teams can experiment responsibly and iterate quickly.

GitHub Copilot embedded in VS Code. Install python for scripting support and on the fly app builds. Using API's from VS Code via the local agent to perform tasks across the enterprise. Building delivery plans, dashboards, queries, reports, reading my emails, chats, meeting transcripts and building ToDo, opening tickets, writing user stories, features, epics, and stakeholder updates. You can do this too, all you have to do is get one agent on board inside your enterprise using your authentication/system access. Codex, Claude, GitHub Copilot, MS Copilots (built in Studio not the default embedded copilot app). I am sure there are others. The future is agentic and you are the orchestrator.