Making Data Simple

This week Al and Ahmed Elsamadisi discuss autonomous cars, exoskeletons, the Iron Man Suit, We Work, and Narrator


Listen Later

Send us a text

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.


This week on Making Data Simple, we have Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making.

In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts.

After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model.

 Show Notes
3:26 – Tell us about algorithms for autonomous cars

6:26 – Anything you can say around missile defense?

8:58 – Tell us about human exoskeletons

13:18 – What kind of data were you using to make decisions around the Iron Man suit?

16:02 – What did you learn at We Work?

25:00 – How we answer a question in the world of Narrator

32:24 – Does Narrator sit between the application and the database?

33:28 – Walk us through a Use Case

Website: Narrator AI.com

Books: 

The Power of Bad

Never Split The Difference

Ahmed Elsamadisi - LinkedIn

 
 Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

...more
View all episodesView all episodes
Download on the App Store

Making Data SimpleBy Making Data Simple

  • 4.4
  • 4.4
  • 4.4
  • 4.4
  • 4.4

4.4

78 ratings


More shows like Making Data Simple

View all
Planet Money by NPR

Planet Money

30,680 Listeners

The Tim Ferriss Show by Tim Ferriss: Bestselling Author, Human Guinea Pig

The Tim Ferriss Show

16,119 Listeners

Economist Podcasts by The Economist

Economist Podcasts

4,166 Listeners

The a16z Show by Andreessen Horowitz

The a16z Show

1,090 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

585 Listeners

HBR IdeaCast by Harvard Business Review

HBR IdeaCast

164 Listeners

How to Be Awesome at Your Job by How to be Awesome at Your Job

How to Be Awesome at Your Job

1,032 Listeners

How I Built This with Guy Raz by Guy Raz | Wondery

How I Built This with Guy Raz

30,199 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

303 Listeners

Inside the Strategy Room by McKinsey & Company

Inside the Strategy Room

168 Listeners

Fiction - Comedy Fiction by The Sunset Explorers

Fiction - Comedy Fiction

6,445 Listeners

Think Fast Talk Smart: Communication Techniques by Matt Abrahams, Think Fast Talk Smart

Think Fast Talk Smart: Communication Techniques

794 Listeners

Hard Fork by The New York Times

Hard Fork

5,509 Listeners

The Weekly Show with Jon Stewart by Comedy Central

The Weekly Show with Jon Stewart

10,760 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

608 Listeners