AI

The productivity improvements an AI-assisted code development tool can bring to your workflow are significant. If you are not convinced, allow me to give you one recent experience of mine. Me, like many of you, have a bunch of personal projects that I work on in my spare time. I’m currently building something around AWS, using the AWS JS SDK and Next.js. In one of the pages, I want to list all the EC2 instances in my account. The table should also list the tags for each instance. But the way AWS stores tags is not very convenient to work with when you want to display them in a table. ...

I recently had the opportunity to speak at The Commit Your Code Conference in Dallas. The Commit Your Code Conference The Commit Your Code Conference is one of a kind conference where 100% of proceeds go to FreeCodeCamp and St. Jude. Here’s the excerpt from their website. 100% of all ticket sales will be donated to charity. ...

I recently had a fantastic time chatting with the folks over at This Dot Labs for their Leadership Exchange podcast. We dove deep into some really interesting topics around AI, leadership, and how we at DataNimbus are working to make AI accessible to everyone. We covered a lot of ground, but here are some highlights: We explored how my experiences have shaped my approach to leading DataNimbus, and how innovation is at the heart of our mission to democratize AI. We discussed practical applications of AI that are transforming businesses today, from creating comprehensive Customer 360 models to accurate demand forecasting – all powered by a company’s own data, within their own secure environment. We tackled the issue of “analysis paralysis” and how we help organizations confidently test and implement AI models. I highlighted how data engineering and data science teams are seeing a resurgence in demand for their skills as organizations look to build their own AI solutions. Want to hear more? Head over to the video below. ...

Last week, I had the privilege of attending a leadership meetup in Dallas organized by This Dot Labs and to be on the panel discussing the “Impact of AI on Organizations”. I was lucky enough to be in the same room with some seriously brilliant people. The discussions we had were refreshing and a big learning experience for me. What got me fascinated was the kind of applications where AI is being put to use. While I cannot disclose the specific applications discussed, the common thread was on leveraging AI to analyze and interpret vast quantities of data. ...

I’m no expert in AI/ML. I’m trying to self-learn and haven’t built anything significant, until now! To learn something, I need a problem to apply and practice what we learned. I was missing that. I didn’t have a use case for anything related to AI/ML and I wanted a pet project for AI/ML. The beginnings Yeah! Let’s talk about that. I started with this – Basic classification: Classify images of clothing. Yeah, why not. Jump into the deep end and figure out the basics as you progress. That has been my way of learning new things. This time, it did not work. My effort to learn ML and build a basic classification system spans 2-3 years 🤷🏾‍♂️. At the pace at which technology progresses, that’s a lifetime. ...