Making Big Data Small
In this special guest feature, Gabe Batstone, Co-founder and CEO for contextere , suggests that rather than provide workers with as much data as possible, it may be better to make Big Data small. This means harnessing the power of Artificial Intelligence (AI) to generate actionable insights a worker needs in that moment to complete the task at hand. Making Big Data small, keeping it both consumable and actionable, will empower workers to be more productive, safer and have less equipment downtime.
Sourced through Scoop.it from: insidebigdata.com
Hey Siri, You Can Hear Better Because Of Machine Learning
Apple has tweaked its virtual assistant Siri’s machine learning algorithms to overcome the challenges with lurking background noise.
Sourced through Scoop.it from: www.analyticsindiamag.com
The Case for Machine Learning in Supply Chain Planning
The case for adopting machine learning techniques is logical. It is faster, cheaper, more accurate and is less human input for higher quality output. The case is very obvious — let’s take a look why.
Sourced through Scoop.it from: www.sdcexec.com
