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Every Business is an AI Business with Dr. Eric Daimler – Serial Entrepreneur, Technology Executive, Investor and Policy Advisor

They believe that work should be fun (well, at least most days) and that our work must be insightful, inspirational and effective.

In this episode, Danielle tells us how she did not start in the data space but initially wanted to be a doctor.

Danielle says that her most significant learning curve has been communicating related data information to people that do not understand data.

She recalls how she was in a meeting and wondered what to do with the numbers that were presented and challenged people on what the data meant and how it was presented.

Danielle says that these questions were not really asked at the beginning and said that they only came about once she got into a higher position.

This opened her eyes to make sure that data is broken down into something exciting and easy to understand.

Later, Danielle explains how her style is more visual than number driven or a standard PowerPoint, she uses a TED Talk presentation.

Usually, there are specific questions that we are trying to answer, and we can help answer these questions with visual stories.

“Data can sometimes be abused during storytelling, but I hope that over time, this will change and only be used to help support someone.” •

Part 1: Strategy, Leadership, Culture Innovation: Interview with Cary Correia, GE USA

Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise.

See how Cary’s teams worked towards a data driven culture, the use of proactive and reactive analytics, and facilitating the most significant steps to move from strategy to execution.

Eric Schmidt: Google | MIT Artificial Intelligence (AI) Podcast

Eric Schmidt was the CEO of Google from 2001 to 2011, and its executive chairman from 2011 to 2017, guiding the company through a period of incredible ...

#1 Dr Eugene Dubossarsky - Chief Data Scientist & Principal Trainer

Full interview and show notes: In this episode we speak to Dr Eugene Dubossarsky, Chief Data Scientist at AlphaZetta ..

How we teach computers to understand pictures | Fei Fei Li

When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too.

This Canadian Genius Created Modern AI

For nearly 40 years, Geoff Hinton has been trying to get computers to learn like people do, a quest almost everyone thought was crazy or at least hopeless - right ...

Adapting to Fintech, with Nicolas Grous and Max Friedrich

On this episode we share highlights from a recent event hosted by ARK Invest called “Adapting to Fintech”. Nicolas Grous, ARK's Trading and Research ...

Stephen Wolfram Discussing AI and the Singularity

Unprepared remarks by Stephen Wolfram in response to a question at the 2015 Wolfram Technology Conference. To learn more about the Wolfram Language, ...

Data Futurology Intro

[Data Science Podcast] Data Futurology - What makes a great data scientist? What skills are required? - How to become a data science leader? - How should I ...

Futurist Keynote, London: Investing in the Exponential Future, SRP European Conference

Read the original online: WHY ..

#2 Ben Pattison - Head of Customer Data Science

Full interview and show notes: In this episode we speak to Ben Pattison, Head of Customer Data Science at Medibank