At Babbage Insight we recently commissioned some research that quantifies the gains organizations get from moving to more proactive data insights. I recently spoke to Vatsap? 😎 about this

Some of you may have forgotten about our Substack, so we put together a summary of what we have been up to lately! A lot more fascinating stuff coming soon - do subscribe!! babbageinsight.substack.com/p/insider-upda… The way business leaders use data analytics is changing and Babbage is at the

User-based pricing has been the go to model in the SaaS world. But could that change? Think about it - now that AI is enabling teams to achieve more with fewer people, would headcount growth continue to be a good indicator of org growth anymore? And if not, would user-based

The human-less analytics-action-update loop is being born. Let us explain. Look at Snowflake and Databricks. When they began, Snowflake was more optimized for Business Analysts using SQL, while Databricks focused on data scientists and engineers. But today, both are investing

Bab here! I really love this job! Let boss Karthik S know that my internship should definitely lead to a full-time offer. 😀

We have an overlapping point to make in our latest blog - babbageinsight.substack.com/p/wheres-the-g…

At Babbage, we have been asking ourselves this: how would AI change the way we approach setting up and measuring KPIs? KPIs, OKRs, KRAs etc. are useful for alignment. But at the end of the day, these are all mere proxies for actual goals. They are susceptible to gaming. Also,

Today, Babbage needs to know the key metrics of a business for it to deliver on its Proactive Insight Engine promise. But it's definitely possible that at some point Babbage will be able to suggest these metrics / KPIs on its own. All that it would need to know then is the

Everybody is tired of AI hallucination. At Babbage Insight, we got so tired of it so early, that we decided to pioneer the tagline "we are not a copilot!" Spoiler alert: it turned out not to be a good idea. Business leaders do want to ask questions after all. But 𝐰𝐡𝐚𝐭 are

We are hiring! Full stack engineers, this time. Reach out to us at [email protected] with your CV/resumé. You 𝐦𝐮𝐬𝐭 include a link to your GitHub profile, please... but do not include any cover letter content 🙂 . #hiring #remote #fullstack #programmer #india #llm #ai

I wanted to thank everyone Babbage Insight for the support, Karthik S for the chance, Manu Bhardwaj for the daily drive. And Claude for timely interventions and explanations. Babbage Insight is hiring! Please join them and turn my code into unicorn material.

Here's the swipe-able carousel: linkedin.com/posts/babbagei… A recent study revealed that 71% organizations (that were surveyed), were 'piloting' AI, but only a meager 5% had successfully scaled AI. This needs to change. In our latest whitepaper, we make the case that auditability

In our latest blog, we highlight an interesting 2X2 matrix for looking at how organizations are approaching AI adoption, especially for the Business Intelligence use-case. We make the case that the Proactive Insight Engine approach, is a clear winner. Check out the blog here:

2/ From pair programming to piloting: building independent AI data analysts by Karthik S, co-founder Babbage Insight 💡 LLMs can write code, but they also hallucinate. 💡 Humans plan. LLMs … improvise. 💡 Pair stats + LLMs = real insights.

Data Chatter Season 2 is a go! First episode, I talk with Liz Gebhard from the World of Books about "how to get the best out of your data team"