Time Plus Data Equals Efficiency with Paul Dix, the Founder and CTO of InfluxData and the Creator of InfluxDB| Listen on Anghami

Nov 20

How to Maximize ROI on AI in 2026

<p>The promise of agentic AI has been massive, autonomous systems that act, reason, and make business decisions, but most enterprises are still struggling to see results.</p><p>In this episode, host Chris Brandt sits down with Sumeet Arora, Chief Product Officer at Teradata, to u ... Show More

59m 51s

Nov 6

90% of AI Demos Fail. Here’s How to Build One that Won’t

<p>If you’ve ever shipped an AI feature that looked great in testing — only to watch it behave unpredictably in production — you’re not alone.</p><p>In this episode of IT Visionaries, host Chris Brandt talks with Lawrence Jones, Founding Engineer at incident.io, about the critica ... Show More

59m 22s

Oct 31

The Future of Procurement: Real-Time Supply Chain Intelligence

<p>Every product a company ships depends on thousands of tiny decisions happening deep inside the supply chain. But most organizations are still making those decisions using stale spreadsheets, fragmented systems, and guesswork.</p><p>In this episode, we explore how AI-driven pro ... Show More

53m 20s

Feb 2021

ThoughtSpot’s Cindi Howson on Chief Data Officer Success Strategies

<p>Much like a roller coaster, 2020 was full of many loops, twists, and turns. From accelerated digital transformations to expedited migrations to the cloud, you were asked to do it all— often with far less time and resources. Through it all, <i>The Data Chief</i> was right there ... Show More

38m 3s

Nov 2021

Data Quality Starts At The Source

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>The most important gauge of success for a data platform is the level of trust in the accuracy of the information that it provides. In order to build and maintain that trust it is necessary to invest in defining, monitori ... Show More

58m 55s

Aug 2022

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date ... Show More

1h 6m

Jun 2021

A Candid Exploration Of Timeseries Data Analysis With InfluxDB

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>While the overall concept of timeseries data is uniform, its usage and applications are far from it. One of the most demanding applications of timeseries data is for application and server monitoring due to the problem o ... Show More

1h 6m

Sep 2022

Data-baeses

Writing data is easy. You take in the information and put it away for future use. It’s remembering exactly what you wrote and where you put it that’s the challenge. Just like having to look for your keys as you try to rush out the door, getting that data quickly makes all the dif ... Show More

29m 5s

Dec 2021

The Top Trends in 2022 for Data Leaders from DataRobot, Databricks, and Google

<p>At the end of every year, you’re probably asking the same questions we are. What are the big changes coming next year? How do I stay ahead of them? And what’s separating real trends from the hype?</p><p>To answer these questions, we are excited to bring together some of the to ... Show More

1h 12m

Apr 2021

Opendoor’s Ian Wong on Disrupting the Real Estate Industry with Data-Driven Digital Transformation

<p>“Garbage in, garbage out.” It’s a philosophy every data leader is familiar with. Your algorithms and models are only as good as the data you put in them -- so how do you ensure the data you are leveraging is reliable and trustworthy? </p><p>Joining Cindi today is Opendoor Co-f ... Show More

37m 55s

Apr 2021

Moving Machine Learning Into The Data Pipeline at Cherre

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Sometimes, however, one of those transformation ... Show More

48m 5s

Aug 2022

Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

<div class="wp-block-jetpack-markdown"><h2>Summary</h2> <p>Data is useless if it isn’t being used, and you can’t use it if you don’t know where it is. Data catalogs were the first solution to this problem, but they are only helpful if you know what you are look ... Show More

53m 24s

Time Plus Data Equals Efficiency with Pa...