Sustainable AI

The development and operation of AI consumes resources and emits greenhouse gases. However, there are various fields of action and options for minimizing this environmental pollution.

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Sustainable artificial intelligence

Reducing the environmental impacts of artificial intelligence

Computing power and energy is necessary for the development and operation of AI solutions. Depending on how efficient the used data centers are and how the energy is generated, large amounts of greenhouse gases can be emitted.

The resource requirements and the environmental impact of AI models has grown exponentially in recent years. In particular, the development and operation of large language models such as GPT-3 is highly resource-intensive, since trillions of parameters are trained on huge amounts of data.

Despite initial increases in efficiency, it is expected that the trend towards larger and larger models will continue in the coming years. It is all the more important that AI developers are aware of this and take measures during development to reduce energy consumption and the associated greenhouse gas emissions.

Benefits of sustainable AI

Sustainable AI is valuable for companies not only from an ecological perspective. Increasing the sustainability of AI solutions is often accompanied by a reduction of the necessary computing capacity and thus the corresponding costs.

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Three fields of action for sustainable AI

Selection of data centers that are operated with a sustainable electricity mix

Choosing a location that is optimized according to the electricity mix can reduce the CO2 emissions generated by power generation.

Usage of efficient and sustainable data centers and providers

By selecting more efficient data centers, the energy required per computing power can be reduced dramatically.

Optimizing the efficiency of infrastructure, data and model architecture.

Efficient design of the infrastructure, data and model architecture can reduce the amount of energy required.

How we help

Keynotes and Impulses

Change always starts with a first impulse. In our presentation we will give a brief introduction to AI, explain the connection between AI and sustainability and show various options for action.

Coding Training

In our training, we show your developers how they can reduce the environmental impact of your AI solutions. In addition to best practices, we present a wide variety of useful methods and tools.

Leadership Workshop

Environmental sustainability should also play a role in your company-wide data and AI strategy. The management workshop helps you to identify corresponding potentials and to develop recommendations.

AI Sustainability Assessment

We review your existing data science and AI solutions or prototypes and identify opportunities to reduce their energy needs, greenhouse gas emissions and operational costs.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Interested? Let's talk.

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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