ThinkNimble

Have a lot of data, but not sure how to make sense of it? AI is a great way to unlock new insights in old data.

Mom, we made it to the big screen! We had a blast cheering on our favorite COO, Marcy Ewald, at the DC Startup & Tech Week (Formerly DC Startup Week) panel, The Disruptor's Blueprint: How to Build AI Products in an Uncertain World. Thank you Seema Alexander for the invitation to share our insights alongside other giants building in the AI space - Marcus Finley, Banjo Obayomi, Jessica Hall 🙏 🙌 🚀 Marcy will be hosting a DCSTW panel tomorrow (Thursday) on How Businesses & Industries are Using AI Right Now to Scale from 2:35-3:10 at International Square. Join us and be sure to say hi!

There are lots of different ways AI can help you sort through your data. In this post we explore 3 different companies and 3 different ways AI helped (or didn't).

We obviously think tech is pretty great, but there are four *nontechnical* necessities every leader must provide their tech team if they want to succeed. What do you think they are?

ThinkNimble is hosting Making Your Data Useful with AI. Make sure to attend it on September 26.

We're digging into how to use AI to make your data useful to your company in our next online event! If you: 👉🏾 have data you’d like to understand 👉🏾 need help finding the answers in your data 👉🏾 want to automate data inferences 👉🏾 have data you'd like to monetize 👉🏾 want to connect pieces of data 💫 Then join us Thurs, Sept 26 from 2-3pm 💫 [We'll be sharing a webinar recap for folks who register but can't join us live!]

You know that part of the drug commercials where they start talking really fast and listing all the possible side effects? Here comes that part of the commercial for AI. As with any powerful technology, AI comes with potential drawbacks: 👉🏾 Higher costs - Advanced AI can be expensive to implement and run 👉🏾 Slower speed - More complex models may have longer response times 👉🏾 Reproducibility issues - Getting consistent results can be challenging 👉🏾 Hallucinations - AI can sometimes generate convincing but false information 👉🏾 Magical thinking - Avoid assuming AI can solve every problem Reason not to use it? Of course not. But when you hear about these issues from your dev, or experience these growing pains when building with AI, remember this is sometimes just part of the process.

Are you building a team of mercenaries or missionaries? 🤔 Mercenaries follow orders. Missionaries champion your vision. The culture you create in your tech team can make or break your product's success. In our most recent article, we dig into how to create a healthy team culture of missionaries. Take a look if you want a better product and happier team 👀

Can't wait for our very own Edward Romano to lay out the ways you can integrate AI into your business to 👏 day 👏 Comment for a link to the workshop. In person! At MLK Library! Sept 4!

Thinking about building with AI? We can help with that.