EthonAI

We’re excited to share key findings from a recent study on AI adoption in the Swiss tech sector. Conducted by the Chair of Production and Operations Management at ETH Zurich and our co-founder Prof. Torbjørn Netland , in collaboration with Swissmem and Next Industries, this survey sheds light on the current state and future plans for AI across Swiss tech companies. Key insights from the survey of 209 senior managers include: 1. Case studies show diverse tangible business benefits from AI. 2. 75% of companies lack an AI strategy. 3. The Swiss tech industry trails other sectors in AI adoption. 4. Over half of the companies haven't considered AI in manufacturing or supply chain management. 5. Smaller firms are falling behind in AI adoption. 6. Predictive maintenance and machine optimization remain key application areas. 7. Supporting knowledge management with generative AI is a top priority. 8. 68% of companies report insufficient in-house AI talent, and 56% lack access to AI training. 9. Companies expect to scale AI in areas like engineering, sales, and customer service within the next three years. 10. Companies are not aware of existing AI regulations. These findings highlight the potential and challenges for AI in the Swiss tech industry. For more detailed insights, read the full report here: https://lnkd.in/dWkQFChp #AI #Technology #Innovation #ETHZurich #SwissTech #BusinessTransformation #FutureOfWork

This Friday we launch our new webinar series - tune in to listen to Torbjørn and Bernhard discussing analytics in manufacturing. #webinar #manufacturinganalytics #MAS

This Friday we will host a webinar about Manufacturing Analytics. At the end of the discussion, we will have a Q&A session. If you have any questions about manufacturing analytics for Torbjørn and Bernhard, please let us know in the comments. #manufacturinganalytics #webinar #AI

Rapid developments in digital technologies have enabled manufacturers to collect and store a wide range of data from their operations. However, manufacturers often struggle to realize the latent productivity potential in their data resources. Consequently, data is underutilized in driving operational improvements. In our upcoming webinar we’ll cover how to unify context for disparate data sources, employ custom artificial intelligence (AI) models for data analysis, and deliver insights through a suite of interoperable applications. Speakers: Bernhard Kratzwald and Torbjørn Netland #MAS #ManufacturingAnalytics

Sifted’s latest industrial tech briefing names us as a rising star. The article covers how AI is transforming manufacturing, and maps the European industrial tech market. They also cover how companies like BMW Group, John Deere, Mercedes-Benz AG and Siemens are using advanced simulation technology to optimize operations. Read the full article here: https://lnkd.in/ey3TcxxD

Rapid developments in digital technologies have enabled manufacturers to collect and store a wide range of data from their operations. However, manufacturers often struggle to realize the latent productivity potential in their data resources. Consequently, data is underutilized in driving operational improvements. In our upcoming webinar we’ll cover how to unify context for disparate data sources, employ custom artificial intelligence (AI) models for data analysis, and deliver insights through a suite of interoperable applications. Speakers: Bernhard Kratzwald and Torbjørn Netland #MAS #ManufacturingAnalytics

Rapid developments in digital technologies have enabled manufacturers to collect and store a wide range of data from their operations. However, manufacturers often struggle to realize the latent productivity potential in their data resources. Consequently, data is underutilized in driving operational improvements. In our upcoming webinar we’ll cover how to unify context for disparate data sources, employ custom artificial intelligence (AI) models for data analysis, and deliver insights through a suite of interoperable applications. Speakers: Bernhard Kratzwald and Torbjørn Netland #MAS #ManufacturingAnalytics

Excited to share our inaugural paper on the Manufacturing Analytics System written by Julian, Bernhard, Roland and Torbjørn. The paper will be presented at the IFAC INCOM 2024! This paper introduces a three-layer architecture for advanced manufacturing analytics: 1. Context Layer:    - Gathers real-time data from sensors and machines.    - Ensures accurate and comprehensive data acquisition.    - Facilitates seamless integration with existing systems. 2. Model Layer:    - Employs advanced algorithms to process and analyze data.    - Utilizes AI and machine learning for analytics.    - Provides actionable insights for decision-making. 3. Application Layer:    - Transforms processed data into user-friendly applications.    - Enhances operational efficiency and quality control.    - Supports real-time monitoring and optimization. These layers work together to create a robust system that enhances production quality, reduces downtime, and improves overall efficiency. Read the full paper here: https://lnkd.in/dvHfEKiJ #Manufacturing #Analytics #AI #Industry4.0 #ETHZurich #IFAC2024

Last Thursday, we announced our #SeriesA investment round of $16.5 million, led by Index Ventures with participation from General Catalyst, Earlybird Venture Capital, and Founderful. I want to take this opportunity to reflect on the past two years. The manufacturing industry faces a significant problem, with one in every five dollars going to waste. Despite collecting terabytes of data, producers struggle to leverage big data for process improvements. Many enterprises are "data rich, but information poor." To address this, we have invested early in the development of causal AI tools. Amidst the buzz around generative AI, at EthonAI, we have recognized the significant impact of causal AI. We see causal AI as a major driver of both top-line and bottom-line performance.  By uncovering the underlying cause-and-effect relationships within complex manufacturing processes, causal AI helps increase output and reduce costs and waste. This financing round positions us at the forefront of manufacturing analytics. The funds will enable us to advance our foundational work on AI models that target the industry's most challenging problems. I would like to express my gratitude to our amazing team and our loyal customers who have believed in us from the very beginning. Your support has been essential to our progress. I am looking forward to working with Katharina Wilhelm and Carlos Gonzalez-Cadenas from Index Ventures to accelerate our growth and continue innovating in the manufacturing sector. Thank you also to Leif Danielsen and Acequia Capital and to everyone involved in this journey. We are excited about the future and the opportunities ahead. Julian Senoner Pascal Mathis Antonia Albert Herbert Bay Dr. Andre Retterath Sélim Benayat Judith Dada Laurin Class Samuel Beyer Roland Philippsen #AI #CausalAI #Manufacturing #Innovation #Digitization #industry40 #smartmanufacturing #changemanagment #iiot #iot #manufacturinganalytics #digitalmanufacturing #ai

Today, we’re excited to announce our CHF 15m Series A financing round led by Index Ventures. Our existing investors General Catalyst, Earlybird Venture Capital, and Founderful also participated. EthonAI was founded with the vision to redefine operational excellence in manufacturing. To pursue this ambitious goal, we have built a new category of software: The Manufacturing Analytics System (MAS). Today's financing round places us in a leading position to expand our platform offering, grow our presence globally, and drive productivity improvements across the industry. Our Co-Founder Julian spoke with Martin Coulter from Reuters about this milestone. Read the full article here: https://lnkd.in/dxh7NvF3 We’re just getting started. If our mission excites you, join us! #MAS #SeriesA #AI #Manufacturing #VC