The podcast bringing you the latest developments in Data Science & AI research

Episode 9

Part

How XPRIZE is enabling AI for social good – Neama Dadkhahnikoo

Neama Dadhahnikoo

In this episode we are joined by the Director of AI and Data Operations at XPRIZE whose career path into the world of AI is fascinating.  Neama Dadkhahnikoo shares his journey from his early days at Boeing back in 2005, through start up ventures, Techspert and Caregivers Direct, and re-training right through to the present […]

Episode 8

Part

How to Leverage Data For Exponential Growth – Tarush Aggarwal

Tarush Aggarwal

In this episode we are joined by an industry veteran who has worked for some of the biggest names in the enterprise Data world.  Tarush Aggarwal shares his journey from his early days at Salesforce.com and then WeWork, right through to the present day. He reveals how to set Data Science & Engineering up for […]

Episode 7

Part

How AI Imaging Is Transforming Satellite Imagery

Heidi Hurst, Xiang (Jerry) He

In this episode we discuss the rapidly developing field of Satellite Imaging. Our guests on this show are Heidi Hurst & Jerry He.   They are two remarkable industry Data Scientists with a strong academic pedigree and experience in the field of Satellite Image Processing.  Heidi is based in Washington DC and Jerry is based in […]

Episode 6

Part 2

AI V Humans (Part 2)- Esports Legends Battle With AlphaStar (Google Deepmind)

Alphastar, TLO

This episode is part one of a conversation with Esports Legends TLO & MaNa. They are professional Starcraft II players and they tell us the story of what it was like to compete against Google DeepMinds AlphaStar AI agent.

Episode 5

Part 1

AI V Humans (Part 1)- Esports Legends Battle With Alphastar (Google Deepmind)

Alphastar, TLO

This episode is part one of a conversation with Esports Legends TLO & MaNa. They are professional Starcraft II players and they tell us the story of what it was like to compete against Google DeepMinds AlphaStar AI agent.

Episode 4

Part 2

Deep Fakes (Part 2) – Technological Advancements & Impact on Society

Eileen Culloty, Stephane Lathuillier

This is Part Two of our podcast episode on Deep Fakes. We continue the conversation with Dr Eileen Culloty of the Institute for Future Media and Journalism at Dublin City University and Dr Stephane Lathuilier of  Telecom Paris.

Episode 3

Part 1

Deep Fakes (Part 1) – Technological Advancements & Impact on Society

Eileen Culloty, Stephane Lathuillier

This is Part one of our conversation about Deep Fakes with two experts in their respective fields. We talk to Dr Eileen Culloty of the Institute for Future Media and Journalism at Dublin City University and Dr Stephane Lathuilier of  Telecom Paris.

Episode 2

Part 2

Philipp Koehn (Part 2) – How Neural Networks Have Transformed Machine Translation

Philipp Koehn

It’s Part 2 of our conversation with Professor Philipp Koehn of Johns Hopkins University. Professor Koehn is one of the world’s leading experts in the field of Machine Translation & NLP.

Episode 17

Part

Data Strategy Evolved: How the Biological Model fuels enterprise data performance

Patrick McQuillan

In this episode Patrick McQuillan shares his innovative Biological Model – a concept you can use to enhance data outcome in large enterprises.  The concept takes the idea that the best way to design a data strategy is to align it closely with a biological system. He discusses the power of centralized information, importance of […]

Episode 16

Part

Mapping forests: Verifying carbon offsetting with machine learning

Heidi Hurst

In this episode Heidi Hurst returns to talk to us about how in her current role at Pachama she is using the power of machine learning to fight climate change.  She discusses her work in measuring the capacity of existing forests and reforestation projects using satellite imagery.

Episode 15

Part

How Science is (mis)communicated in Online Media

Ágnes Horvát

Ágnes Horvát is an Assistant Professor in Communication and Computer Science at Northwestern University. Her work focuses on understanding how online networks induce biased information production, sharing and processing across digital platforms.

Episode 14

Part

How Observability is Advancing Data Reliability and Data Quality

Lior Gavish, Ryan Kearns

Modern Data Infrastructures and platforms store huge amounts of multidimensional data.  But – data pipelines frequently break and a machine learning algorithm’s performance is only as good as the quality and reliability of the data itself. In this episode we are joined by Lior Gavish and Ryan Kearns of Monte Carlo, to talk about how […]