Aperio AI
An excellent report by Capgemini on the growth trajectory of smart factories. It was put together by surveying 1,000 executives in organizations that had a smart factory initiative underway.
Get the report here: https://lnkd.in/epFyrAMt
06/21/2022
Came across this blog by Ataccama showing the impact of data quality automation on data scientists' time. Not disputing what's depicted, but I'd argue that APERIO could further drive the time spent Preparing Data from 20% to zero.
An excellent summary by Jay Agrawal, Sean Buckley, CFA and others from McKinsey & Company on how adoption of AI can greatly improve industrial output and efficiency. The article describes the exact same problems APERIO DataWise™ is tackling:
https://lnkd.in/ezTpE9n
06/10/2022
APERIO is at Globuc's Go Digital Event in Amsterdam where they're talking about . Cognite estimates the loss of revenue due to poor data quality at 30%. This is in line with what we're seeing our customers experience. https://lnkd.in/geWtTEcf.
06/10/2022
APERIO are thrilled to be exhibiting at Globuc's 6th Annual Go Digital Energy Conference on the 7-8 June in Amsterdam.
We will be exhibiting in Booth 12 and speaking to companies from the whole energy value chain about APERIO’s revolutionary AI approach to minimizing unscheduled downtime and increasing operational efficiency. We hope to see you there!
Register here: https://bit.ly/3x7BQJk
06/10/2022
Don't forget to catch APERIO's CEO Jonas Hellgren and International Paper’s Manufacturing Process Information Manager, Rick Smith at the Connected Plant Conference on Monday 23 May.
They will be presenting on how manufacturers can leverage to drive performance improvements and asset health and reliability.
Let us know in the comments if you want a copy of their presentation or register for the event here: https://bit.ly/3lsHkZM
06/10/2022
This article by Joe McKendrick of RTInsights and Jay Agarwal , former consultant at McKinsey & Company touches on many issues that APERIO is tackling through its data quality platform: "6 Rules for Energizing the Data Behind Industrial AI": https://bit.ly/3EDipeN
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