Exploring AI Tools for Enhanced Productivity

Exploring AI Tools for Enhanced Productivity

Our recent networking meeting focused on AI tools that can boost productivity. We discussed a wide range of applications, from AI-enhanced browsers, knowledge bases, and note-taking systems to unified messaging platforms, collaboration tools, and forms-based questionnaire systems. Of course, we also touched on well-known tools like ChatGPT and Microsoft Co-pilot.

It's clear that our group's use of AI tools is diverse. Some of us rely heavily on these tools for tasks like structuring and drafting code, saving over 30 minutes daily. Others primarily use ChatGPT, whether free or paid, for inspiration, brainstorming, and support in processes, workshops, and various subject areas. However, the use of Microsoft Co-pilot has been limited due to restrictions like the number of threads, lower-quality image generation, lack of history, and dependency on client availability. Still, some of us find it useful for drafting emails and discussed its potential in handling meeting minutes, task lists, and follow-ups.

Despite our relatively limited use of AI tools, the potential for productivity enhancement is immense. Anders Hasle Nielsen from Lion Brain provided valuable insights into how AI should be integrated across all levels of an organization, starting with simple projects or proof of concepts to gather learnings.

Key Takeaways from Anders:

1. Open vs. Closed AI Systems: Are you contributing to the greater good by training open AI tools and sharing your knowledge, including with competitors? Or should you keep it private within your organization?
2. Privacy Concerns: Have you considered the risks of sharing confidential data while using public AI tools?
3. Learning to Use AI: For basic AI use, formal training isn’t necessary. Encourage users to experiment with the tools and grow their skills, especially since there are thousands of AI tools available.
4. Cost Considerations: For large organizations, the $20+ per month for paid versions of ChatGPT and Microsoft Co-pilot can be expensive. The goal of AI tools should be to save money by improving efficiency, not increasing expenses. New licensing models, like pay-as-you-go, may be more effective.

We also discussed the limitations of current AI tools, such as their tendency to guess, overestimate, and sometimes produce inaccurate or misleading information when provided with limited input.

Lion Brain's Solution: They offer a closed AI-generated Digital Companion that acts like a real person chosen by you, with video capabilities, trained specifically by an organization using its own documentation, speeches, blog posts, goals, strategy, values, relevant books, standards, articles, science & tech publications and other knowledge-sources. This AI tool goes beyond ChatGPT models, offering features like counter-questioning, good open questions and gathering more information before providing answers based on Basic training by Lion Brain. Users effectively train the AI tool each time they use it, ensuring it becomes more accurate and aligned with organizational needs and the whole organization become wiser.

It’s also 100% secure, operating behind the organization’s firewall and can even be installed on local servers. The pay-as-you-go license model is particularly appealing for large organizations, such as hospitals with over 10,000 employees (One of Lion Brain′s Use case). The user-friendly design encourages daily use, ensuring continuous improvement for both users and the organization.

In essence, Lion Brain’s AI-generated Digital Companion is like a "go-to" expert on steroids as one of us described it??