Brainforge Newsletter: Empowering Growth with Raw Data and AI Receptionists

January 10, 2025

Author

Uttam Kumaran
January 10, 2025

What's New?

This edition looks at how disciplined data management can guide better decisions and how AI receptionists help real estate teams capture every lead.

Data
Which of the Following Works Best with Raw Data?

Some data arrives incomplete or inaccurate. Proper organization reveals insights that might remain hidden. Tools like Tableau, Fivetran, and Snowflake help turn scattered information into clearer direction.

Key Takeaways

  • Ninety-four percent of businesses consider data vital, but only eight percent scale analytics effectively.

  • Cleaning raw data removes errors and duplicates.

  • Consistent reviews of data strategies keep pace with emerging technologies.

Why You Should Read

Small shifts in collection and organization often spark meaningful changes in outcomes. Understanding the right tools helps you streamline analysis.

ARTIFICIAL INTELLIGENCE
AI Receptionists Are Changing How Real Estate Works

Many real estate teams lose potential clients after hours. AI receptionists respond any time, schedule appointments, and transfer complex tasks to agents. Quick responses keep clients from drifting elsewhere.

Key Takeaways

  • Leads contacted within five minutes have a far higher chance of converting.

  • AI bots can handle multiple conversations at once.

  • CRM integration shortens response times and personalizes interactions.

Why You Should Read

When AI covers routine calls, your team can focus on deeper client needs. You’ll reduce missed opportunities and free agents to close deals.

Cool Links

  1. Coca-Cola United Testing Generative AI Tool to Streamline Data Access

    One of the areas that we are exploring for ourselves and for clients is just making a better search. Where is this doc, how do we typically do that - AI knowledge has a great way to completely change enterprise search. Google Drive search sucks!

  2. Practical AI Implementation at Doctolib

    I’m allergic to the “Is AI going to eliminate humanity” type articles but a glutton for articles with real, practical implementations like this one from Doctolib

  3. Dive into Time-Series Anomaly Detection: A Decade Review

    I’ll admit I haven’t had a moment to read this just yet but we do a ton of work with time series data and beyond just cleaning, reporting, and analyzing data companies want to become more proactive and spot anomalous patterns thats not obvious via just select statements. Excited to read this over the weekend.

  4. Apple Branded Mail

    For my marketing heads I just saw this on twitter and we’re going to sign up. Apparently apple is launching the ability for more natively branded emails

  5. Reflections on Palantir: A retrospective on an eight-year stint

    I’m going to be re-reading and re-reading this. We started Brainforge with both the service arm but also with a platform arm. The goal of the platform is to speed up and improve the quality of our service engineers. This is everything from code linting to scripts to improve setup time. Unfortunately building a company takes time so we’re still a ways away but better believe we’re going to build a platform team and then ideally find some ways to spin some internal tools out for monetization