Jonathan LewisDirector of Software Engineering| IFG Companies Inc.Durham, Nc, United States
This is again a question I cannot answer. We are still learning about GenAI, looking for ways to apply it to our organization, and evaluating AI tools which can help deliver value. Saving Changes...
George OffordPM II| FreelanceBudapest, Budapest, Hungary
The basic documentation skills of GenAI are enough for now. The analysis of incoming business requirements per customer versus the existing functionality of the available products and proposed products, would go a long way in saving the corporation both time and money. There is an amazingly large area during this analysis phase where it is open for human error. GenAI would both automate this process and ensure this phases robustness (infallibility). Saving Changes...
The tools and resources that I find indispensable for enhancing my capabilities when working with Generative AI data are:
- Pandas/NumPy (Python Libraries)
- PyTorch
- OpenAI GPT
- Google Colab
- BLEU/ROUGE Scores
- Kubernetes
- TensorBoard
- IBM AI Fairness 360
These tools not only enhance my capability to develop sophisticated models but also ensure that my models are deployed efficiently, ethically, and effectively in real-world applications. Saving Changes...
I have played with these tools a bit and I am excited to see if anything will be adopted at the corporate level, but we'll have to see. Not all of this is no-cost and I have not tried them thoroughly, but here are some of the most useful ones I have tried out:
https://notegpt.io - summarizes all kinds of content including Youtube, Udemy, Coursera for faster learning
https://tryshift.com - browser allows the unification of several different applications in one shell to boost productivity
https://infogram.com - quick builder for presentations, infographics, reports, etc.
https://axiom.ai - no code browser automation Saving Changes...
I've been experimenting with Perplexity in my AI data, but I can't fully recommend it yet since my experiments are incomplete. However, so far, I like it.
As for charting and visualization tools, if you're building a webpage (internally or externally), I recommend using eCharts and DataWrapper. They're both free and easily accessible at the following links:
If you prefer connecting your data to a data analytics solution, the best advanced-solution is Google Data Studio (Looker Studio). It's free to use and there are plenty of resources available to help you learn how to use it seamlessly.
It is an indispensable tool to have access to the organization’s database to be able to generate different reports. Data cleaning will depend on the needs of the solution. I use pivot tables and Power BI. Saving Changes...
Badri N SrinivasanAVP and Lead - Agile Center| Societe Generale Global Solutions CenterBangalore, Karnataka, India
We are just starting out using some basic tools and some tools that we just started using - otter.ai, fireflies.ai, etc. Saving Changes...
I've been diving into various AI platforms like Perplexity, Claude, and ChatGPT, experimenting and switching between them. Lately, though, I've found myself using ChatGPT the most, primarily because of the ability to create custom GPTs tailored to specific needs. That flexibility is crucial for me. On the project management side, I've been using ClickUp, which also has integrated AI features. I find myself alternating between these tools quite a bit. Saving Changes...
Anonymous
I'm new on this and in my Company we have Microsoft tools so I just use thee ones and Chat GPT, because any tool we propose to use must be validated by our security team. Saving Changes...
PMI Team Member
