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

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

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.

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

Our latest success story demonstrates how APERIO DataWise™ is solving data quality issues across a wide range of industrial sectors.

In this example, APERIO is enabling true predictive maintenance at a multinational mining company.

Read the success story here: https://bit.ly/38OGAMb

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

APERIO is proud to present at the 6th Annual Connected Plant Conference on the topic of "Democratizing Your Data". We will be speaking alongside International Paper - an APERIO customer and the biggest paper and pulp manufacturer in the world.

The event will also feature other leaders in the digital transformation space. These include AVEVA, Amazon Web Services (AWS), Delek US Holdings, Inc., Covestro, Stanley Black & Decker, Inc. and others. Read more about our plans for the event here: https://bit.ly/3sy49ze

We asked 160 professionals how they currently handle operational data quality issues. A majority clean data manually or use rules-based technology. Are we not tired of these labor-intensive time wasters and ready for a tool that automates data integrity across the enterprise?

In our latest customer success story, APERIO DataWise™ helps a global chemicals and minerals company consistently avoid equipment failure and unscheduled downtime. Read the full story here: https://bit.ly/39omjwN

People’s experience and/or process performance (KPIs) are commonly used to “measure” the quality of data. Only 6% use a tool to measure data quality and only 4% track data over time. How precise is your data quality measurement?

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