Shivani Shah: Innovator in Digital Twin Technology

• Position: Co-founder and CTO at Samp.ai
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Pioneering Digital Twin Solutions

Shivani Shah is a prominent figure in the field of digital twin technology, serving as the Co-founder and Chief Technology Officer of Samp.ai, a company that specializes in creating intelligent 3D models of industrial facilities. These models, known as digital twins, are designed to enhance the safety and efficiency of industrial operations by providing a comprehensive and up-to-date representation of the facilities12.

Samp.ai's innovative approach involves using AI and 3D technology to transform laser scans into detailed digital twins, which serve as a central hub for planning and executing industrial work. This technology is particularly valuable for maintaining and modernizing large industrial sites, ensuring that all stakeholders have access to accurate and current data15.

Academic and Professional Background

Shivani Shah holds a PhD in Machine Learning from Université de Tours, where her research focused on unsupervised machine learning for large datasets, particularly in the context of metagenomics12. Her academic work has equipped her with a deep understanding of machine learning, big data, and computational geometry, which she applies in her role at Samp.ai.

Before founding Samp.ai, Shivani was involved in various research projects, including a thesis on machine learning using graphs for metagenomic datasets at CEA, and an internship at the World Wide Web Consortium in Delhi, where she worked on mobile web standards1.

Recent Developments

Under Shivani's leadership, Samp.ai has secured significant funding to expand its operations. The company recently raised 6 million euros to accelerate its development and expand its market presence in Europe and beyond514. This funding will support further research and development, as well as the scaling of their digital twin technology to new markets.

Fun & Interesting Facts

• Shivani Shah is fluent in four languages, which aids in her international business dealings.
• She has a strong interest in AI, entrepreneurship, and sustainability, often engaging in discussions on these topics.
• Samp.ai was co-founded at Station F, a renowned startup incubator in Paris, highlighting its innovative roots.

Shivani Shah's work at Samp.ai is at the forefront of digital transformation in the industrial sector, leveraging cutting-edge technology to drive efficiency and sustainability. Her contributions to machine learning and digital twin technology continue to make significant impacts in the field.

Samp AI Digital Twin Technology: A Leap in Industrial Management

• Founders and Background: Samp was founded in 2019 by Shivani Shah and Laurent Bourgouin, leveraging their expertise from CEA and Dassault Systèmes, respectively12.
• Technology and Innovation: Samp's "Shared Reality" solution uses AI and 3D streaming to create digital twins, providing a comprehensive 3D view of industrial sites. This technology integrates image captures with technical documentation to offer precise infrastructure insights125.
• Applications and Benefits: The digital twins enable continuous asset monitoring, reducing risks and enhancing safety and operational efficiency in inspection, maintenance, and construction15.
• Industry Adoption: Major companies like Engie, SUEZ, and VEOLIA have adopted Samp's solutions, highlighting its effectiveness in managing industrial infrastructures25.
• Funding and Expansion: Samp recently secured €6 million to expand its sales team in Europe, continue R&D, and prepare for international expansion125.
• Strategic Vision: The company aims to become a key player in Industry 4.0, addressing challenges in sustainability, safety, and workforce shortages15.

Shivani Shah's Contributions to Metagenomics through Machine Learning

• Research Focus: Shivani Shah's doctoral research focused on graph sparsification and unsupervised machine learning for metagenomics, specifically addressing the challenges of binning in large metagenomic datasets1.
• Key Innovations: Her work introduced scalable methods for binning, utilizing proximity graphs and community detection algorithms to efficiently group DNA reads from the same species or genus1.
• Methodology: Shah developed a pipeline named ProxiClust, which combines k-nearest neighbor (kNN) graph construction with the Louvain community detection algorithm to improve the accuracy and scalability of metagenomic data analysis1.
• Scalability Solutions: To handle large datasets, she replaced traditional similarity matrices with locality-sensitive hashing (LSH) techniques, enabling the processing of millions of data points1.
• Impact: Her research contributes significantly to the field by providing methods that reduce computational complexity and improve the accuracy of species identification in metagenomic studies1.

Machine Learning and Deep Learning in Metagenomics

• Applications: Machine learning and deep learning are increasingly used in metagenomics for tasks such as taxonomic profiling, functional annotation, and disease prediction57.
• Challenges: Traditional methods face limitations due to dependency on reference databases and computational expense, which machine learning approaches aim to overcome9.
• Deep Learning Models: Techniques like convolutional networks, autoencoders, and attention-based models are employed to enhance the analysis of metagenomic data, offering improved accuracy and interpretability12.
• Emerging Trends: The integration of machine learning in metagenomics is paving the way for more precise and scalable analysis, crucial for understanding complex microbial communities and their roles in health and disease1012.

Shivani Shah: Innovator in Industrial Digitalization

Profile Overview

• Name: Shivani Shah
• Position: Co-founder and CTO at Samp
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Pioneering Digital Twin Technology

Shivani Shah is a prominent figure in the field of industrial digitalization, serving as the Co-founder and Chief Technology Officer of Samp, a company that specializes in creating digital twins for industrial facilities. Samp's innovative "Shared Reality" platform leverages AI and 3D technology to transform industrial site data into accurate digital models, facilitating safer and more efficient operations12. This technology is particularly crucial for modernizing industrial facilities to meet sustainability goals4.

Academic and Professional Background

Shivani holds a PhD in Machine Learning, focusing on unsupervised learning for large datasets, from Université de Tours. Her research has been pivotal in developing algorithms that enhance the processing of complex data sets, which is integral to Samp's technology2. Before founding Samp, she was involved in various research projects, including a significant role at the CEA, where she worked on machine learning applications for metagenomic datasets1.

Samp's Growth and Impact

Under Shivani's technical leadership, Samp has achieved significant milestones, including raising substantial funding to expand its operations. The company recently secured €6 million to enhance its R&D and accelerate its international expansion514. Samp's technology is already being utilized by major industrial players like ENGIE and Suez, highlighting its impact on improving industrial safety and efficiency614.

Fun & Interesting Facts

• Shivani Shah is fluent in four languages, which aids her in navigating diverse cultural and business environments.
• She has a strong academic background with a focus on machine learning and big data, which she applies to real-world industrial challenges.
• Samp's technology is likened to "Google Earth" for industrial sites, providing a comprehensive digital overview of facilities8.

Shivani Shah's work at Samp is a testament to her commitment to leveraging technology for industrial transformation, making significant strides towards a more sustainable and efficient future. If you wish to explore more about her contributions or Samp's innovative solutions, feel free to reach out.

Shivani Shah's Role in Samp's Digital Twin Technology

• Co-founder and CTO: Shivani Shah co-founded Samp in 2019 alongside Laurent Bourgouin, leveraging her expertise from her previous role at CEA to drive the development of AI-generated digital twin solutions12.
• Shared Reality Platform: Under her technical leadership, Samp developed the "Shared Reality" platform, which integrates AI and 3D streaming to create digital twins that provide real-time, comprehensive 3D models of industrial sites12.
• Technological Innovation: Shah's work focuses on using AI to enhance the operational efficiency and safety of industrial sites by enabling constant asset monitoring and informed decision-making12.
• Industry Impact: The technology is already in use by major companies like Engie, SUEZ, and VEOLIA, demonstrating its effectiveness in improving site safety and operational efficiency12.
• Funding and Expansion: Samp recently raised €6 million to expand its R&D and sales efforts, aiming to establish itself as a leader in the digital twin market and to support international expansion12.

Impact of Shivani Shah's Work on Industrial Sustainability

• Integration of Human-Centric and Environmental Approaches: Shivani Shah's work aligns with the principles of Industry 5.0, which emphasizes a holistic approach by integrating human-centricity and environmental sustainability into industrial innovation1.
• Digital Twin Technology for Sustainability: Through Samp's digital twin technology, Shah has contributed to transforming industrial operations by providing real-time data and comprehensive 3D models that enhance operational efficiency and safety, thereby supporting sustainability goals1.
• Facilitating Sustainable Practices: The technology developed under Shah's leadership aids in reducing resource consumption and minimizing environmental impact by enabling precise monitoring and management of industrial processes1.
• Promoting Socio-Economic Considerations: By incorporating socio-economic factors into industrial processes, Shah's work supports a more sustainable industrial ecosystem that balances technological advancement with environmental and social responsibilities1.

Shivani Shah's contributions through Samp's digital twin technology are pivotal in advancing industrial sustainability by integrating advanced technological solutions with sustainable practices.

Shivani Shah: Innovator in Digital Twin Technology

Profile Overview

• Name: Shivani Shah
• Role: Co-founder and CTO at Samp.ai
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Pioneering Digital Twin Solutions

Shivani Shah is a prominent figure in the field of digital twin technology, serving as the Co-founder and Chief Technology Officer of Samp.ai, a company she established in 2020 alongside Laurent Bourgouin. Samp.ai specializes in creating digital twins for industrial facilities, leveraging AI and 3D technology to transform site data into comprehensive digital models. This innovation allows for enhanced maintenance and modernization of industrial sites, addressing critical challenges in safety and efficiency 12.

Academic and Professional Background

Shivani holds a PhD in Machine Learning from Université de Tours, where her research focused on unsupervised machine learning for large datasets. Her academic journey also includes a Master's degree from Grenoble INP, emphasizing informatics and machine learning. Her professional experience spans roles at CEA and Entrepreneur First, where she honed her skills in machine learning and data analysis 12.

Recent Developments and Achievements

Under Shivani's leadership, Samp.ai has achieved significant milestones, including a successful funding round of 6 million euros to expand its digital twin technology across Europe and beyond. This funding will support the company's R&D efforts and international expansion, particularly into the North American market. Samp.ai's technology has been adopted by major industrial players like ENGIE and Suez, highlighting its impact on the industry 45.

Fun & Interesting Facts

• Samp.ai was founded at Station F, a renowned startup incubator in Paris.
• The company's "Shared Reality" solution is likened to Google Earth for industrial sites, providing real-time, accurate 3D models.
• Shivani's work at Samp.ai is driven by a mission to enhance industrial safety and sustainability through digital innovation.

Shivani Shah continues to be a driving force in the digital transformation of industrial facilities, with her work at Samp.ai setting new standards in the field. Her commitment to integrating cutting-edge technology with practical industrial applications positions her as a leader in the tech industry. If you would like more detailed information or specific insights into her projects, feel free to reach out.

Shivani Shah's Contributions to AI and Machine Learning

• Medical Applications: Shivani Shah has been involved in applying AI and machine learning to accelerate advancements in perinatology and neonatal medicine, highlighting the transformative potential of these technologies in early medical interventions 1.
• Machine Learning in Healthcare: Her work includes leveraging machine learning for predicting clinical outcomes, such as death and hospitalization, in patients with implantable cardioverter-defibrillators, which is crucial for improving patient care and management 2.
• Nanobody Affinity Prediction: Shah has contributed to the development of machine learning-driven methods for predicting nanobody affinity, which is significant for biological research and drug development 3.
• AI in Medical Imaging: She has explored AI-based methods for integrating local and global features in brain cancer imaging, enhancing diagnostic accuracy and tumor segmentation through advanced machine learning models 4.

Samp.ai Digital Twin Technology Advancements

• Cost Reduction and Efficiency: Samp.ai's digital twin technology significantly reduces utility costs by streamlining maintenance and operational processes. It enables utilities to manage aging infrastructure without passing costs to consumers, addressing issues like poor asset management and technical debt1.
• AI and 3D Modelling: The platform uses AI to create 3D virtual replicas of industrial sites, integrating recent 3D scans with technical documentation to provide a comprehensive view of facilities. This aids in efficient asset management and reduces the need for frequent inspections1.
• Shared Reality Platform: Samp's "Shared Reality" solution offers a secure workspace that connects to legacy IT systems, enhancing data accessibility and operational efficiency. It allows for real-time updates and collaboration across teams, improving safety and reducing environmental impact2.
• Industry Adoption: Major companies like SUEZ and VEOLIA have adopted Samp's technology, highlighting its effectiveness in improving site resilience and operational efficiency. The technology is used in over 150 industrial sites in France24.
• Funding and Expansion: Samp recently secured €6 million in funding to expand its operations and enhance its AI and 3D capabilities. This funding will support international expansion and further R&D efforts24.
• Case Study with SUEZ: Samp collaborated with SUEZ to create digital twins for water treatment plants, optimizing maintenance and reducing the risk of equipment failure. This partnership is set to expand across more sites in France1.

Shivani Shah: Innovator in Digital Twin Technology

• Position: Co-founder and CTO at Samp
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Pioneering Digital Twin Solutions

Shivani Shah is a prominent figure in the field of digital twin technology, serving as the Co-founder and Chief Technology Officer of Samp, a company that specializes in creating digital twins for industrial facilities. Samp's innovative approach involves using AI and 3D technology to transform laser scans into accurate digital models of industrial sites, which are then used to enhance safety, efficiency, and sustainability12.

Academic and Professional Background

Shah's academic journey began in India, where she completed her Bachelor's in Computer Science. She then moved to France to pursue a Master's degree in Informatics at Grenoble INP, followed by a PhD at Université de Tours, focusing on machine learning applications for large metagenomic datasets14. Her research has been pivotal in developing unsupervised machine learning techniques for handling large datasets, which she has applied in her work at Samp2.

Samp's Impact and Growth

Under Shah's leadership, Samp has made significant strides in the industrial sector by providing a "Shared Reality" platform that integrates real-time data with 3D models to create a comprehensive digital twin of industrial sites. This technology has been instrumental in reducing operational risks and improving maintenance efficiency56. Samp has successfully raised significant funding, including a recent €6 million round to expand its operations in Europe and beyond56.

Fun & Interesting Facts

• Samp was co-founded at Station F, a renowned startup incubator in Paris.
• The company has partnered with major industrial players like ENGIE to deploy its technology across various sites.
• Shah's work at Samp is driven by a mission to make industrial operations more sustainable and climate-friendly.

Shivani Shah continues to be a leading voice in the intersection of AI and industrial technology, driving innovation and sustainability in the sector. Her work not only advances technological capabilities but also addresses critical environmental challenges. If you would like to know more about her projects or the impact of digital twin technology, feel free to reach out.

Shivani Shah Samp AI Digital Twin Technology

• Funding and Expansion: Samp, co-founded by Shivani Shah, recently secured €6 million in funding from Promus Ventures and Kvanted to expand its AI-generated digital twin technology, known as "Shared Reality," internationally12.
• Technological Innovation: The platform offers rapid 3D modeling and real-time monitoring of industrial sites, enhancing safety and operational efficiency. It integrates visual data to provide a comprehensive 3D view, aiding in informed decision-making34.
• Industry Adoption: Major companies like Engie, SUEZ, and VEOLIA have adopted Samp's solutions, highlighting its effectiveness in addressing sustainability and safety challenges56.
• Strategic Goals: The funding will support expanding the sales team in Europe, advancing R&D, and preparing for global market entry, positioning Samp as a leader in Industry 4.078.

Shivani Shah's Machine Learning Metagenomics Research

• Framework Development: A machine learning framework was developed to enrich metagenomics studies by extracting metadata from open access publications in Europe PMC. This framework classifies publications and constructs training sets for metagenomics entity types, using BioBERT models for entity recognition1.
• Data Enrichment: The framework has processed 114,099 publications, enriching 19,900 metagenomics studies in the European Nucleotide Archive (ENA) and MGnify with metadata, which are accessible via Europe PMC and its API1.
• Challenges Addressed: The framework addresses the challenge of missing metadata in sequence records by extracting information from research narratives, thus improving the usability of metagenomics data1.
• Machine Learning Techniques: Utilizes hybrid machine and deep learning approaches, including Bidirectional Long Short-Term Memory (BiLSTM) and Conditional Random Field (CRF) models, to efficiently identify entities in biomedical texts1.
• BioBERT Model: The framework employs BioBERT, a BERT-based model fine-tuned for biomedical named entity recognition, outperforming previous models in classifying medical entities1.

Shivani Shah's work in machine learning metagenomics focuses on enhancing data accessibility and usability through advanced text-mining and machine learning techniques, addressing critical gaps in metadata availability for metagenomics research.

Shivani Shah: Innovator in Industrial Digitalization

• Position: Co-founder and CTO at Samp
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Pioneering Digital Twin Technology

Shivani Shah is a prominent figure in the field of industrial digitalization, serving as the Co-founder and Chief Technology Officer of Samp, a company that specializes in creating digital twins for industrial facilities. Samp's innovative technology transforms 3D scans into detailed digital models, providing a comprehensive "Shared Reality" that enhances the safety and efficiency of industrial operations12. This technology is particularly valuable for maintaining and modernizing large industrial sites, offering a real-time, accurate representation of facilities that aids in planning and execution1.

Academic and Professional Background

Shah's academic journey began in India, where she completed her Bachelor's in Computer Science. She then moved to France to pursue a Master's degree in Informatics at Grenoble INP, followed by a PhD at Université de Tours, focusing on machine learning applications for large datasets14. Her research has been pivotal in developing unsupervised machine learning techniques for handling extensive data, which she has applied in her work at Samp2.

Before founding Samp, Shah was part of the Entrepreneur First cohort, where she met her co-founder Laurent Bourgouin. This experience was instrumental in shaping her entrepreneurial journey and the establishment of Samp14.

Recent Developments and Achievements

Under Shah's leadership, Samp has achieved significant milestones, including raising substantial funding to expand its operations. In 2024, Samp secured €6 million to enhance its R&D capabilities and accelerate its international expansion514. This funding round was supported by prominent investors like Promus Ventures and Kvanted, highlighting the confidence in Samp's technology and its potential to revolutionize industrial maintenance5.

Samp's technology has been adopted by major industrial players, including Storengy, a subsidiary of ENGIE, which uses Samp's digital twin solutions to improve the efficiency and safety of its operations6.

Fun & Interesting Facts

• Diverse Background: Shivani Shah's multicultural background and multilingual skills have been a significant asset in her international business ventures.
• Entrepreneurial Spirit: Her journey from academia to entrepreneurship showcases her ability to translate complex scientific research into practical, industry-changing solutions.
• Commitment to Sustainability: Shah's work at Samp is driven by a mission to make industrial operations more sustainable and environmentally friendly.

Shivani Shah continues to be a leading force in the digital transformation of industrial sectors, leveraging her expertise in machine learning and data analytics to drive innovation and efficiency. If you would like more detailed information about her work or Samp's projects, feel free to reach out.

Shivani Shah Samp AI Digital Twin Technology

• Innovative Solution: Samp, co-founded by Shivani Shah, offers an AI-generated digital twin solution known as "Shared Reality," which provides a comprehensive understanding of industrial sites within days12.
• Funding and Expansion: Recently, Samp secured €6 million in funding from Promus Ventures and Kvanted to enhance its R&D and expand internationally12.
• Technological Impact: The platform integrates AI and 3D streaming to create precise 3D models, improving safety and operational efficiency for companies like Engie and VEOLIA12.
• Industry Adoption: Over 150 industrial sites in France use Samp's technology, addressing challenges like obsolete documentation and knowledge loss12.
• Strategic Goals: The funding will support expanding the sales team in Europe and preparing for global market entry12.

Shivani Shah's Entrepreneur First Cohort Experience

• Origin of Samp: Shivani Shah co-founded Samp with Laurent Bourgouin after meeting at STATION F during the Entrepreneur First program in 2019. This meeting was pivotal, combining Shah's AI expertise with Bourgouin's industry experience to address the technical debt in industrial facilities1.
• Aha Moment: The collaboration was sparked by a shared vision to solve the "hair-on-fire problem" of outdated industrial documentation using AI to create intelligent 3D virtual replicas from simple scans1.
• Impact: This innovative approach has led to the deployment of Samp's AI-powered solutions across numerous sites in Europe, significantly accelerating digital transformation in the industrial sector1.

Shivani Shah: Innovator in Digital Twin Technology

• Position: Co-founder and CTO at Samp
• Location: Paris, Île-de-France, France
• Education: PhD in Machine Learning from Université de Tours
• Languages: English, French, Gujarati, Hindi
• Key Skills: Machine Learning, Big Data, Metagenomics, 3D Rendering

Professional Journey

Shivani Shah is a prominent figure in the field of digital twin technology, serving as the Co-founder and Chief Technology Officer (CTO) of Samp, a company she established in 2020 alongside Laurent Bourgouin. Samp specializes in creating digital twins of industrial sites, leveraging AI and 3D technology to enhance the safety and efficiency of industrial operations12. The company has developed a patented solution known as "Shared Reality," which integrates real-time 3D scans with existing technical data to provide a comprehensive digital representation of industrial facilities6.

Before founding Samp, Shivani was a cohort member at Entrepreneur First, a program that fosters entrepreneurial talent1. Her academic background includes a PhD focused on unsupervised machine learning for large datasets, particularly in the context of metagenomics2.

Recent Developments

Samp has recently secured significant funding to expand its operations. In 2024, the company raised €6 million to accelerate its growth and enhance its digital twin technology514. This funding round was led by Promus Ventures and Kvanted, and it aims to support Samp's expansion into the European and North American markets14.

The company has also been recognized for its innovative approach to industrial maintenance and modernization, with its technology being adopted by major players like ENGIE and Suez46. Samp's solutions are designed to reduce the environmental impact of industrial operations by providing accurate, up-to-date digital models that facilitate better planning and execution of maintenance tasks5.

Fun & Interesting Facts

• Diverse Background: Shivani Shah hails from India and has pursued her higher education in France, reflecting a blend of cultural and academic experiences4.
• Entrepreneurial Spirit: Her journey with Samp began at Station F, a renowned startup incubator in Paris6.
• Commitment to Sustainability: Samp's mission aligns with global sustainability goals, aiming to transform industrial sites into more eco-friendly operations4.

Shivani Shah's work at Samp is a testament to her commitment to leveraging technology for industrial innovation and sustainability. Her leadership in developing digital twin solutions is paving the way for safer and more efficient industrial practices worldwide. If you would like more detailed information about her projects or the impact of Samp's technology, feel free to ask.

Shivani Shah Samp AI Digital Twin Technology

• Company Overview: Samp, co-founded by Shivani Shah and Laurent Bourgouin in 2019, specializes in AI-generated digital twin solutions for industrial sites. The company is based in Paris and focuses on enhancing sustainability, safety, and operational efficiency through its "Shared Reality" platform12.

• Technology and Innovation: Samp's patented AI and 3D streaming technology allows for rapid creation of digital twins, providing a comprehensive 3D view of industrial infrastructures. This technology integrates real-time image data with technical documentation to offer precise monitoring and decision-making capabilities13.

• Industry Impact: The platform is used by major companies like Engie, SUEZ, and VEOLIA, helping them transition to sustainable production by improving site safety and operational efficiency23.

• Funding and Growth: Samp recently raised €6 million from investors like Promus Ventures and Kvanted to expand its sales team, enhance R&D, and prepare for international expansion12.

• Strategic Goals: The company aims to become a key player in Industry 4.0 by providing a reliable digital twin solution that addresses challenges such as obsolete documentation and knowledge loss34.

• Future Plans: The funding will support Samp's growth in Europe and beyond, with a focus on maintaining a leading edge in AI and 3D technology developments14.

Shivani Shah's Entrepreneur First Cohort Experience

• Origin of Samp: Shivani Shah co-founded Samp with Laurent Bourgouin after meeting at Station F during the Entrepreneur First program in 2019. This meeting was pivotal in addressing the technical debt in industrial facilities using AI1.
• Program Impact: Entrepreneur First provided a platform for Shivani to apply her AI expertise to real-world problems, leading to the development of Samp's digital twin technology1.
• Vision Alignment: The program facilitated the alignment of Shivani's AI capabilities with Laurent's industry insights, resulting in a shared vision to create intelligent 3D replicas of industrial sites1.