Today's Device Squad, the podcast for the mobile enterprise from Propelics, comes to you live from the AI World Conference & Expo in Boston (https://aiworld.com/) where the word of the day is Data Labeling. Join Steve on his quest to figure out why companies need to create their own discrete labelled data set rather than everyone working towards creating a single, universal labelled data set that encompasses all knowledge. Plus, learn all about the Achilles heel of Machine Learning (i.e. the time and effort of finding the data to label), find out about Cognitive Computing and Knowledge Engineering, learn how AI is giving tech jobs to the poor, and much more.

This episode features interviews with the following leaders in AI and Machine Learning:

IBM Power9
https://www.ibm.com/it-infrastructure/power/power9

IBM Watson
https://www.ibm.com/watson/

Data Robot (Dow Jones) - “democratizes predictive analytics” - Machine learning data analytics and predictive modeling (using the customer's data)
https://www.datarobot.com/

Lux Research
http://www.luxresearchinc.com/

iMerit - “AI-Enabled Services” - Human-Empowered Computing
https://imerit.net/

Alpho the work bot???? - answers your business questions for you (we didn't quite get this one)

Affectiva - in-app Emotion detection
https://www.affectiva.com/

Presagen - Human behavior Automation
https://www.presagen.com/

UIPath - Robotic Process Automation - drag n drop workflow for computers (not robots)
https://www.uipath.com/

Voice-base - Speech analytics for the Cloud
https://www.voicebase.com/

SFL Scientific - Professional Services Company - for Data Science & AI Solutions
https://sflscientific.com/

Alegion - High volume data labelling and annotation, Crowdsourcing Automation for AI Training Data
https://alegion.com/