Skip to content

Stay Ahead of the AI Curve

Staying Up to Date with AI

Artificial intelligence (AI) is continually evolving, with new tools and breakthroughs announced almost daily. Staying informed about these changes is key to enhancing your work and optimizing your skillset. Forming a habit of staying informed doesn't have to be time-consuming; the goal is to create a personal, curated collection of trusted sources.

Create an AI Information Toolkit

Build a simple, consistent learning habit by creating an AI information toolkit using a combination of the following strategies:

  • Curate a reading list: Find trusted newsletters or blogs that summarize the week's biggest AI news.
  • Follow the conversation: A lot of AI news and discussion happens in real-time on social and professional networks. Follow industry leaders, prominent researchers, and leading institutes to see developments as they happen.
  • Listen and watch: Use your commute or downtime to learn by listening to podcasts or watching educational videos. These resources are great for understanding the context and stories behind the headlines.
  • Experiment with new tools: When a new AI tool or feature is released, try it out. Hands-on experience provides a much deeper and more practical understanding of a tool's capabilities than just reading about it.

Tip: Staying informed isn't about knowing everything—it's about turning the latest AI developments into a manageable stream of inspiration.

Taking Inspiration from AI Innovation

To start innovating with AI, consider what tasks you need to accomplish and where you experience bottlenecks in your work. Then, explore how others have incorporated AI into their fields to address similar problems.

Specialized and Multimodal Models

  • Med-PaLM: A large language model designed to answer medical questions, specialized through training with clinicians. It demonstrates the potential of specializing existing foundational models through expert training.
  • Med-PaLM M: A multimodal version of Med-PaLM. It can interpret several types of biomedical data, including language, medical imaging, and genomic data, greatly expanding its utility in the medical field.
  • Multimodal model: An AI model that can accept and learn from multiple types of input (e.g., text, images, video, or audio). These models perform complex tasks beyond what single-modality tools can achieve.

Industry Applications

AI is used innovatively across multiple industries to create solutions to complex problems:

  • Healthcare: Specialized models assist clinicians by providing data-driven answers to complex medical scenarios.
  • Sustainability and Robotics: The startup company Refiberd applies AI to sensor technology to help reduce textile waste. Their AI system uses sensors to identify and organize different textiles in recycling plants based on their materials.

Note: Even without specific robotics or medical expertise, you can apply the conceptual models (like organizing, categorizing, or generating insights) to tasks within your own industry.

Experimenting with AI

The approach to using AI in a new way for an application or technology is relatively simple: start with play.

  • Start with a toy version of the problem: Use a simplified environment or a small scale that gives you confidence.
  • Scale up progressively: Try a small piece first (e.g., completing a single phrase rather than a whole document). If you can make it work at a small scale, you can confidently attempt larger challenges.
  • Embrace repetition: Be willing to try things repeatedly, adjusting prompts and techniques until you get the desired effect.

The opportunity for innovation and creativity with AI relies on discovery and experimentation.

Applying AI Fundamentals

Applying your AI skills requires hands-on practice with capable models and tools. Focusing on direct interaction helps demystify the technology.

Core Tools for the Modern Workplace

  • Gemini: Functions as an all-purpose AI assistant that can be accessed across devices.
  • NotebookLM: Serves as a personalized research and note-taking tool that is grounded entirely in the documents and sources you provide.
  • AI Studio: A prototyping environment to test and refine models directly.

By directing AI with natural language, you can efficiently anticipate questions, build project roadmaps, create compelling presentations, draft marketing imagery, and transform raw data into clear, understandable visuals—all without requiring any coding experience.