ON DEMAND WEBINAR |

How to drive OEE with Industrial AI

Get the on-demand webinar

Learn different Artificial Intelligence approaches for your production line problems - including those used by manufacturers like Proctor & Gamble, Stanley, and Grundfos. 

Artificial Intelligence (AI) and machine learning technologies are already empowering production-line experts to maximize yield, increasing OEE by 5-10% in as little as six months.

This webinar covers how and when to apply the four different categories of Industrial AI:

  1. Mechanical Breakdown AI
  2. Energy Consumption AI
  3. Process Optimization AI
  4. Supply Chain Optimization AI

Who should watch:  Plant and operations managers, engineers, and executives looking for innovative solutions to maximize OEE.


 

About the presenter

Liran Akavia, Co-founder & COO, Seebo
Lior Akavia, COO/ Co-Founder, Seebo

Liran is the Co-Founder and COO of Seebo. The Industrial IoT SaaS platform empowers Industrial manufacturers with easily-customized, targeted solutions for maximizing uptime and minimizing quality issues in the production line. Liran helms the company's customer-facing operations with hundreds of successful IoT implementations under his belt. He is an innovator, entrepreneur and process optimization expert who is dedicated to assisting businesses in achieving growth through Industry 4.0 initiatives. 

Deliver better business outcomes

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Predictive Quality

Anticipate production quality issues before they happen, get automated suggestions for root causes of issues, and increase first pass yield

 

 

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Predictive Maintenance

Minimize unplanned downtime of your key assets to increase production throughput, reduce maintenance costs, and increase remaining useful life

Condition Monitoring
Condition Monitoring

Increase visibility into operational health and asset performance to boost throughput, cut costs, and empower decision making across the factory floor

Digital Twin
Digital Twin

Virtualize your assets and manufacturing processes for remote monitoring, increased throughput, and better-built products – in just 8-10 weeks