SUSTAINABILITY & AI

EVERYTHING YOU NEED TO KNOW ABOUT AI AND SUSTAINABILITY

What stage are you in?

The first thing you need to do before kicking off any Digital Project is to understand at what stage you are and gather enough relevant information to set a clear goal and what KPI will you track.

01.

Problem
unaware

This is the first step. Understand what is AI, how DATA can help, and how can it help improve some of the challenges you are facing today. In this section, we will share our experts' opinion and advice.

02.

Problem
aware

03.

Solution
aware

Ok, so now that you're an expert, you're probably wondering how you can start doing this today. For this, we've prepared a long-format webinar with our experts to walk your through the process.

How about an interview with our expert?

Espresso 4.0 - Data Fuelling Sustainability in Steel

Filip, a mechanical engineer by education & a pipeline engineer by religion, joined our host Filip for an espresso and a chat over the value of data and digital solution in more sustainable steel production.

Find out more

Read our related LinkedIn posts

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It might be overwhelming to start with, but you can have a look at what we share and follow us on LinkedIn

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Sometimes its better to see real life examples

Energy Reduction

Drive cost down with ready to use AI.

Being sustainable is no longer a dream.

Start your journey today!

Energy saving assistant

Read our related case studies or more about sustainability & AI

Sustainability in the raw material industry with AI

Our dependency and reliance on raw materials have a tremendous environmental impact.

Sustainability always seemed a tad out of reach.

But now, we have AI. It optimizes the use of resources.

It dramatically improves waste management.

It gets more out of your equipment and your energy plan.

Need to know more?

Get on to reading.

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Predictive Maintenance for continuous casting

From an operational point of view, cutting torches failures are particularly costly and hard to predict due to the unstable nature of the process.

High temperature and speed of the process pose challenges to maintaining the environment under control and reacting promptly to any exceptions and deviations.

The client has so far relied on the experience of their operational experts but wanted to digitalize their expertise and automatize the detection of critical events on a deeper level than the one allowed by the human mind.

Find out more

Check out our webinar

During this session, you'll see how the energy-saving algorithm we've embedded in the Wizata platform works.

Sustainability has been a hot topic for many years specifically for the heavy industry because they are big consumers of energy and they produce a lot of CO2 emissions.

There are also other factors that play a critical role in sustainability.

Find out more about this topic in this webinar.

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IN CONCLUSION

AI in metal manufacturing might sound confusing and complex. However, you already have the most important part of the journey.

Your knowledge.

Combine it with Process Data, Machine Learning, and AI and you'll be able to:

Digitalize your process knowledge
Be more sustainable
Boost your bottom line

Starting is hard, but you need to have a clear goal and scope for step 1.

Remember to:

Identify a process business pain
Understand what you have available (tech and resources)
Reach out to experts for support
Define a goal and project
Invest and measure the results

Not convinced yet?

No problem, take a look at our knowledge base to find more answers.

And if you still don't find what you want, be sure to reach out we'd be happy to have a chat and answer any questions you might have.